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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Mech. Eng.</journal-id>
<journal-title>Frontiers in Mechanical Engineering</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Mech. Eng.</abbrev-journal-title>
<issn pub-type="epub">2297-3079</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="publisher-id">1656081</article-id>
<article-id pub-id-type="doi">10.3389/fmech.2025.1656081</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Mechanical Engineering</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Enhanced mechanical properties of AA7075 alloy through friction stir processing: a review</article-title>
<alt-title alt-title-type="left-running-head">Patil et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fmech.2025.1656081">10.3389/fmech.2025.1656081</ext-link>
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<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Patil</surname>
<given-names>Tukaram</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<name>
<surname>Washimkar</surname>
<given-names>Dinesh</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<xref ref-type="author-notes" rid="fn1">
<sup>&#x2020;</sup>
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<name>
<surname>Pawar</surname>
<given-names>Ashish</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
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<xref ref-type="author-notes" rid="fn1">
<sup>&#x2020;</sup>
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<contrib contrib-type="author">
<name>
<surname>Naidu</surname>
<given-names>Mithul</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
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<name>
<surname>Shinde</surname>
<given-names>Sachin</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
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<name>
<surname>Salunkhe</surname>
<given-names>Sachin</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
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<aff id="aff1">
<sup>1</sup>
<institution>Department of Mechanical Engineering, VIIT Pune</institution>, <addr-line>Pune</addr-line>, <addr-line>Maharashtra</addr-line>, <country>India</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Vishwakarma Institute of Technology</institution>, <addr-line>Pune</addr-line>, <addr-line>Maharashtra</addr-line>, <country>India</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Dr. Vishwanath Karad MIT World Peace University</institution>, <addr-line>Pune</addr-line>, <addr-line>Maharashtra</addr-line>, <country>India</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Faculty of Mechanical Engineering, Tolani Maritime Institute</institution>, <addr-line>Pune</addr-line>, <country>India</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Mechanical Engineering, Datta Meghe College of Engineering</institution>, <addr-line>Navi Mumbai</addr-line>, <country>India</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Department of Biosciences, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences</institution>, <addr-line>Chennai</addr-line>, <country>India</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>Gazi University Faculty of Engineering, Department of Mechanical Engineering</institution>, <addr-line>Ankara</addr-line>, <country>T&#xfc;rkiye</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/114303/overview">Abdelmageed A. Elmustafa</ext-link>, Old Dominion University, United States</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1542457/overview">Davood Rahmatabadi</ext-link>, University of Tehran, Iran</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3134767/overview">Hariram V.</ext-link>, Hindustan Institute of Technology and Science, India</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Sachin Shinde, <email>sachin.shinde@dmce.ac.in</email>; Sachin Salunkhe, <email>sachinsalunkhe@gazi.edu.tr</email>
</corresp>
<fn fn-type="other" id="fn1">
<label>
<sup>&#x2020;</sup>
</label>
<p>ORCID: Dinesh Washimkar, <ext-link ext-link-type="uri" xlink:href="http://orcid.org/0000-0002-3805-0877">orcid.org/0000-0002-3805-0877</ext-link>; Ashish Pawar, <ext-link ext-link-type="uri" xlink:href="https://orcid.org/0000-0001-5996-8209">orcid.org/0000-0001-5996-8209</ext-link>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>15</day>
<month>10</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>11</volume>
<elocation-id>1656081</elocation-id>
<history>
<date date-type="received">
<day>29</day>
<month>06</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>18</day>
<month>08</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Patil, Washimkar, Pawar, Naidu, Shinde and Salunkhe.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Patil, Washimkar, Pawar, Naidu, Shinde and Salunkhe</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>A friction stir-based material processing technique for improving the surface and microstructural characteristics of materials is called friction stir processing (FSP). Because FSP involves severe deformation caused by plasticity, material flow, heat transport, and microstructure evolution, it is a multi-physics problem that can be difficult to describe. The performance of the friction stir process is influenced by several factors, including plastic deformation, material flow, temperature, and residual stresses. Enhancing the process requires developing a numerical model that considers these influencing parameters for a specific workpiece material.</p>
<p>Lightweight materials such as aluminum alloys offer high specific strength and ductility, making them ideal for applications in the automotive and aerospace industries. Today&#x2019;s industries are primarily interested in metallic alloys that are lightweight and strong. Because of their low weight, aluminum alloys hold a special place in the industry. Much effort is being made to improve the mechanical qualities of aluminum through a surface modification technique called FSP. This study reviews the literature on the FSP of the AA7075 alloy, focusing on the influence of key parameters such as rotational speed, traverse speed, and machining conditions. Modeling and simulations of FSP for material change have not been extensively studied. This study uses ABAQUS/Explicit to create a computationally efficient process model based on the coupled Eulerian&#x2013;Lagrangian (CEL) formulation to simulate the FSP of aluminum alloy. Tool plunging, dwelling, and stirring phases are all included in the simulation of the full FSP process using the three-dimensional (3D) finite-element model. The impact of tool rotational speed and tool pin profile during the FSP process is assessed using simulations. Comparing the proposed model&#x2019;s computational efficiency to that of other models currently in use for friction stir welding procedures is another way to assess its effectiveness. To validate the model, the FSP experiment is conducted using temperature and process force measurements. This work shows that the CEL model can be a useful numerical tool for simulating complex process mechanics and optimizing FSP process parameters for industrial applications.</p>
</abstract>
<kwd-group>
<kwd>lightweight materials</kwd>
<kwd>friction stir process</kwd>
<kwd>coupled Eulerian&#x2013;Lagrangian</kwd>
<kwd>AA7075 alloy</kwd>
<kwd>Abaqus</kwd>
</kwd-group>
<counts>
<page-count count="21"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Solid and Structural Mechanics</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>Appropriate material selection with a specific set of properties is an important parameter in the industry. The automobile and aircraft industries, in particular, are focused on specific material selection to reduce the overall weight of the components. Aluminum alloys are currently the preferred materials in those industries. The processing of metal alloys with variable strength affects the cost and production time. Materials with fine, uniform grain structures exhibit high strength and good ductility. Therefore, a processing method that can yield a material with a small grain size must be used. These days, processing techniques include equal channel angular extrusion (ECAE) and friction stir processing (FSP) in addition to powder metallurgy and the Rockwell process. To enhance surface and local features at certain locations, FSP expands upon the friction stir welding (FSW) technology developed in 1991 by the Welding Institute (TWI) in the United Kingdom.</p>
<p>FSP is a unique and innovative thermomechanical processing technique that optimizes performance while reducing manufacturing time and costs by changing the material&#x2019;s mechanical and microstructural properties in a single pass. <xref ref-type="fig" rid="F1">Figure 1</xref> depicts the FSP schematic. A specifically made cylindrical tool with a large diameter shoulder and a small diameter pin is used in this technique. During its rotation, it is plunged into the chosen location. By rapidly heating and softening a tiny metal column, friction between the rotating pin and the sheet surface allows the tool to pass transversely through the material when it is inserted. The penetration depth is controlled by the probe length and tool shoulder. During FSP, the region to be processed and the tool are shifted relative to each other so that the tool goes over the entire selected area in overlapping passes until the required fine-grain size is achieved. As the tool moves through the processed zone, it cools and forms an equiaxed fine-grain microstructure that is free of defects and dynamically recrystallized.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>A schematic drawing of friction stir processing (<xref ref-type="bibr" rid="B34">Edwards and Crouch, 2017</xref>).</p>
</caption>
<graphic xlink:href="fmech-11-1656081-g001.tif">
<alt-text content-type="machine-generated">Diagram illustrating the friction stir welding process. It shows a tool rotating with a downward force, moving in the welding direction. Labeled parts include the shoulder, pin, friction stir welded region, nugget, advancing side, and retreating side. Arrows indicate tool rotation, downward force, and welding direction.</alt-text>
</graphic>
</fig>
<p>According to numerous studies, FSP is an affordable option for the automotive and aerospace sectors. The microstructural behavior of aluminum alloys in the friction stir process has been studied by numerous researchers (<xref ref-type="bibr" rid="B1">Aalco, 2021</xref>; <xref ref-type="bibr" rid="B65">Mukhopadhyay, 2010</xref>; <xref ref-type="bibr" rid="B66">Mukhopadhyay, 2012a</xref>; <xref ref-type="bibr" rid="B67">Mukhopadhyay, 2012b</xref>; <xref ref-type="bibr" rid="B22">Chawla and Gupta, 1993</xref>; <xref ref-type="bibr" rid="B90">Wang et al., 2006</xref>; <xref ref-type="bibr" rid="B35">Edwards et al., 1998</xref>; <xref ref-type="bibr" rid="B83">Totik et al., 2004</xref>; <xref ref-type="bibr" rid="B68">Pan et al., 2016</xref>; <xref ref-type="bibr" rid="B71">Robson, 2004</xref>; <xref ref-type="bibr" rid="B92">Wang et al., 2011</xref>; <xref ref-type="bibr" rid="B95">Xu et al., 2017</xref>). Their investigation&#x2019;s primary goal is to examine the areas impacted by heat and grain processing. It has been noted that the FSP of commercial aluminum alloys 1100, 2024, 5083, 6061, 7075, and 7475 significantly improves their superplastic qualities. Researchers have investigated the hardness, fatigue, micro texture, and tensile strength of several aluminum alloys (<xref ref-type="bibr" rid="B91">Wang et al., 2008</xref>; <xref ref-type="bibr" rid="B54">Lin et al., 2006</xref>; <xref ref-type="bibr" rid="B93">Wei et al., 2004</xref>; <xref ref-type="bibr" rid="B86">Vailey et al., 2000</xref>; <xref ref-type="bibr" rid="B89">Valiev et al., 2016</xref>; <xref ref-type="bibr" rid="B11">Bagherpour et al., 2019</xref>; <xref ref-type="bibr" rid="B96">Zendehdel and Hassani, 2012</xref>; <xref ref-type="bibr" rid="B88">Valiev and Langdon, 2006</xref>; <xref ref-type="bibr" rid="B47">Hong et al., 2014</xref>; <xref ref-type="bibr" rid="B18">Bhovi et al., 2016</xref>; <xref ref-type="bibr" rid="B82">Toroghinejad et al., 2013</xref>). Finite element analysis, numerical process modeling, and experimental investigation are also used to examine the heat produced and residual stress during the process. This idea requires further research to optimize the obtained finer grain size as a function of specific process parameters, such as tool geometry, rotational and translational speeds, etc.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>2 Materials and methods</title>
<sec id="s2-1">
<title>2.1 Lightweight aluminum alloys</title>
<p>At present, a great variety of materials such as metals and their alloys, ceramics, plastics, and composites are available for engineering applications with their own traits, standards, and limitations. They are used either singly or in combination for a particular application. Selection of the ideal material having expected application-dependent properties is an essential feature in every industrial application as it improves the function, quality, performance, properties, and cost of the product/component. After the selection of material, the use of an appropriate manufacturing process for the targeted application is equally important.</p>
<p>In this section, a broad outline of the current scenario, in reference to data available in the literature relating to the importance and use of light metal alloys, is furnished. Metals or alloys having low density, high specific strength, and low toxicity are termed light metal alloys (LMA) or simply light alloys (LA). Generally, magnesium, aluminum, and titanium alloys are considered light alloys; owing to its toxic nature, beryllium is excluded from this category (<xref ref-type="bibr" rid="B34">Edwards and Crouch, 2017</xref>). A plot showing relative bulk densities of commonly used alloys is presented in <xref ref-type="fig" rid="F2">Figure 2</xref>. Light alloys are of great importance in aerospace, automobile, defense, and medical industries, where a high strength-/stiffness-to-weight ratio is imperative to warrant their use by reducing mass and increasing efficiency (<xref ref-type="bibr" rid="B64">Monteiro, 2014</xref>). The cost and blend of properties of Al alloys, viz., high specific strength, superior formability, excellent cast ability, and electrical/thermal conductivity, along with excellent corrosion resistance make these alloys appropriate for a wide range of uses. To increase fuel efficiency and reduce greenhouse gas emissions, they are utilized as a structural material in the automotive sector to produce space frames, engine brackets, engine blocks, cylinder heads, brake rotors, and interior body panels (<xref ref-type="bibr" rid="B26">Davis, 1993</xref>). They are also utilized in manufacturing aircraft structural components and marine engines (<xref ref-type="bibr" rid="B80">Spada, 2002</xref>; <xref ref-type="bibr" rid="B31">Dorum et al., 2009</xref>; <xref ref-type="bibr" rid="B44">Hatch, 1984</xref>). To serve the purpose, the current study is focused on Al alloys.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Relative bulk densities of metallic alloys (<xref ref-type="bibr" rid="B34">Edwards and Crouch, 2017</xref>).</p>
</caption>
<graphic xlink:href="fmech-11-1656081-g002.tif">
<alt-text content-type="machine-generated">Horizontal bar chart comparing the densities of various metals and their classification into light and heavy alloys. Metals shown are lithium, magnesium, aluminum, titanium, iron, nickel, and copper. The chart highlights a dashed line at 5000 kilograms per cubic meter, distinguishing light alloys from heavy alloys.</alt-text>
</graphic>
</fig>
<p>Aluminum is the most abundantly produced and utilized non-ferrous metal around the world. Compounds of aluminum have been used for several hundred years. The first commercial production of aluminum started about 170 years ago. Since then, the demand for Al and its alloys has increased and has reached approximately 29&#xa0;million tons per year (<xref ref-type="bibr" rid="B1">Aalco, 2021</xref>). Low density (around 2.7&#xa0;gm/cc), high strength (achievable through alloying and heat treatment), and excellent corrosion resistance are the three key attributes together with supplementary traits like high electrical/thermal conductivity, high ductility, non-magnetic nature, low working cost, and high recyclability of Al alloys, make them suitable for many engineering applications (<xref ref-type="bibr" rid="B65">Mukhopadhyay, 2010</xref>; <xref ref-type="bibr" rid="B66">Mukhopadhyay, 2012a</xref>). Al alloys are used as armor material for lightweight combat vehicles and form the core structure of scout vessels and the superstructure of large ships. Frigates and destroyers are also fabricated using Al alloys. Both commercial and military aircraft are manufactured using high-strength Al alloys as structural material. Because the ductile to brittle transition temperature (DBTT) of Al alloys is very low and they do not undergo embrittlement at low service temperatures, they are utilized to produce cryogenic fuel tanks for rockets and launch vehicles (<xref ref-type="bibr" rid="B67">Mukhopadhyay, 2012b</xref>).</p>
<p>Typically, Al alloys are categorized as cast alloys and wrought alloys (non-heat-treatable and heat-treatable wrought alloys). The fraction of alloying elements is higher, and the tensile strength is lower, in cast Al alloys than in wrought Al alloys. Cast Al alloys are utilized in the cast condition. Their applications include window fittings, garden tools, gearbox and axle housings, cast wheels, and farm equipment. Wrought Al alloys are worked in the solid state using specific tools to form them into various standard and nonstandard shapes. They possess better mechanical properties, structural integrity (no casting defects), and surface finish than cast Al alloys. Al alloys that cannot be strengthened by age-hardening heat treatment are called non-heat-treatable wrought Al alloys. Typically, they are strengthened by cold working through mechanical reduction. Al alloys that respond to age (precipitation) hardening heat treatment to attain reasonably high strength levels are called heat-treatable wrought Al alloys.</p>
<p>Alloying elements play a vital role in heat treatability and properties of Al alloys. The elements Cu, Zn, Mg, Si, Mn, and Li are the principal alloying elements used to strengthen the Al alloys. <xref ref-type="table" rid="T1">Table 1</xref> shows a four-digit numerical designating system used to specify wrought Al alloys. Out of these four digits, the first digit denotes the chief alloying element, the second digit denotes the variation of the alloy, and particular alloys in the series are represented by the third and fourth digits (<xref ref-type="bibr" rid="B22">Chawla and Gupta, 1993</xref>). Al alloys are also specified by the temper designation system, which depends on the series of mechanical and/or thermal treatments given to an alloy, such as O (annealed), H (strain-hardened), F (as fabricated), or T (thermally treated) (<xref ref-type="bibr" rid="B22">Chawla and Gupta, 1993</xref>; <xref ref-type="bibr" rid="B17">Bhojak et al., 2023</xref>; <xref ref-type="bibr" rid="B69">Pawar et al., 2024</xref>).</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Designation of wrought Al alloys (<xref ref-type="bibr" rid="B90">Wang et al., 2006</xref>).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Sr No</th>
<th align="center">Alloying element</th>
<th align="center">Designation</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">1</td>
<td align="center">Aluminum, greater than 99.00%</td>
<td align="center">1xxx</td>
</tr>
<tr>
<td align="center">2</td>
<td align="center">Copper</td>
<td align="center">2xxx</td>
</tr>
<tr>
<td align="center">3</td>
<td align="center">Manganese</td>
<td align="center">3xxx</td>
</tr>
<tr>
<td align="center">4</td>
<td align="center">Silicon</td>
<td align="center">4xxx</td>
</tr>
<tr>
<td align="center">5</td>
<td align="center">Magnesium</td>
<td align="center">5xxx</td>
</tr>
<tr>
<td align="center">6</td>
<td align="center">Magnesium and silicon</td>
<td align="center">6xxx</td>
</tr>
<tr>
<td align="center">7</td>
<td align="center">Zinc</td>
<td align="center">7xxx</td>
</tr>
<tr>
<td align="center">8</td>
<td align="center">Another element</td>
<td align="center">8xxx</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Precipitation (age) hardening is one of the most extensively exercised mechanisms for the strengthening of metallic materials. The strongest Al alloys, viz., 2xxx, 6xxx, and 7xxx, are developed by precipitation hardening heat treatment. The hardness and strength of a few metallic alloys are attained by the evolution of homogeneously distributed tiny precipitates within the parent matrix through the heat treatment process, called precipitation or age hardening (<xref ref-type="bibr" rid="B90">Wang et al., 2006</xref>). This extremely fine precipitate hinders the motion of dislocations by obstructing their path and ultimately results in the strengthening of the heat-treated alloys (<xref ref-type="bibr" rid="B35">Edwards et al., 1998</xref>). Precipitation hardening depends on the variation in solid solubility with temperature to produce tiny precipitates. An alloy system can be precipitation-strengthened only if there is a formation of a terminal solid solution at elevated temperature and solid solubility decreases with a drop in temperature (<xref ref-type="bibr" rid="B90">Wang et al., 2006</xref>; <xref ref-type="bibr" rid="B83">Totik et al., 2004</xref>). Three basic steps that are involved in the process of precipitation hardening are listed below and presented using <xref ref-type="fig" rid="F3">Figure 3</xref>.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Steps of precipitation hardening (<xref ref-type="bibr" rid="B90">Wang et al., 2006</xref>).</p>
</caption>
<graphic xlink:href="fmech-11-1656081-g003.tif">
<alt-text content-type="machine-generated">Graph illustrating quench hardening and ageing processes. The y-axis shows temperature in degrees Celsius. During solutionising, temperature rises sharply, followed by rapid quenching. Ageing involves artificial ageing with precipitation and coarsening, and natural ageing with slow cooling. Inset diagrams display microstructural changes, including supersaturated solid solution, precipitation, and coarsening. Time progresses along the x-axis.</alt-text>
</graphic>
</fig>
<p>Solution zing is also called solution annealing. It involves the heating of the alloy above the solvus temperature within the single-phase region. It is held at that temperature to dissolve all the alloying elements and form a homogeneous solid solution. The quenching is rapid cooling using a quenching medium to obtain a supersaturated solid solution (SSSS). The aging consists of reheating a supersaturated solid solution (SSSS) to a medium temperature (lower than the solvus temperature) to attain a finely dispersed precipitate particle. High strength in the 2xxx, 6xxx, 7xxxx, and 8xxx series Al alloys can be attained via age hardening. In the 2xxx series, the principal alloying element is Cu, which readily responds to age hardening and forms high-strength precipitates like CuAl2 and Al2CuMg. 2xxx series Al alloys possess high strength, toughness, and fatigue resistance. Mg and Si are the chief alloying elements of the 6xxx series. Formation of precipitates like Mg2Al3 and Mg2Si during age hardening results in strengthening of these alloys. Low fracture toughness of these alloys limits their use in aerospace and defense applications (<xref ref-type="bibr" rid="B68">Pan et al., 2016</xref>). Li is the key alloying element in the 8xxx series Al alloys. Though the addition of lithium in aluminum matrix reduces density and improves elastic modulus and tensile strength, the high cost of lithium metal and the high processing cost of Al&#x2013;Li alloys limit their applicability (<xref ref-type="bibr" rid="B71">Robson, 2004</xref>). Zn, Cu, and Mg are the principal alloying elements in 7xxx series Al alloys (<xref ref-type="bibr" rid="B68">Pan et al., 2016</xref>; <xref ref-type="bibr" rid="B71">Robson, 2004</xref>). During precipitation hardening of these alloys, precipitates like CuAl2, Mg2Al3, Al32 (Mg, Zn) 49, and MgZn2 are formed, which contribute to strengthening, and the yield strength achieved is in the range of 450&#x2013;600&#xa0;MPa (<xref ref-type="bibr" rid="B96">Zendehdel and Hassani, 2012</xref>). 7xxx series Al alloys usually have superior strength and hardness to 2xxx alloys; therefore, they are used in defense and aircraft structural applications where higher stresses are imparted (<xref ref-type="bibr" rid="B95">Xu et al., 2017</xref>). Al alloy 7075 (AA7075) is the most abundantly utilized alloy in the defense and aerospace industries among all of the 7xxx series Al alloys.</p>
<p>AA7075 was established by the Aluminum Company of America in 1943 with Zn as the principal alloying element. Zn, Cu, and a small fraction of other alloying elements act as hardeners to strengthen the alloy by forming tiny intermetallic/precipitates during the age-hardening process (<xref ref-type="bibr" rid="B37">Fernandez et al., 2010</xref>). The alloy possesses exceptional strength, good ductility, and toughness together with excellent fatigue resistance (<xref ref-type="bibr" rid="B91">Wang et al., 2008</xref>). The corrosion resistance of AA7075 is considerably superior to that of the 2xxx series Al alloys, but it is more notch sensitive (has a higher embrittlement tendency) than most of the Al alloys (<xref ref-type="bibr" rid="B54">Lin et al., 2006</xref>). When annealed, it has excellent formability and machinability. The main disadvantage of AA7075 in the high-strength T6 temper condition is its high susceptibility to stress corrosion cracking (SCC). However, this can be addressed by using retrogression and re-aging (RRA) heat treatment, which increases resistance to SCC without compromising the alloy&#x2019;s strength (T6 condition). AA7075 is widely used in structural elements of automobiles, armed vehicles, bridges, large earth-moving equipment, aircraft, and many other high-end applications because of its special combination of properties (<xref ref-type="bibr" rid="B93">Wei et al., 2004</xref>).</p>
</sec>
<sec id="s2-2">
<title>2.2 Friction stir processing</title>
<p>Metal working techniques that involve very large plastic strains and complex state of stresses resulting in very high defect density along with ultrafine grain structure are called severe plastic deformation (SPD) techniques (<xref ref-type="bibr" rid="B86">Vailey et al., 2000</xref>). Recently, many researchers have been exploring various SPD techniques to fabricate bulk ultrafine-grained (UFG) materials with superior properties (<xref ref-type="bibr" rid="B89">Valiev et al., 2016</xref>). Using SPD techniques to manufacture bulk UFG materials with high grain boundary disorientation and relatively homogenous and equiaxed microstructures has clear uses in the creation of high-strength materials. Numerous studies are being conducted to enhance SPD methods that can commercially produce UFG metals and alloys. The most crucial feature of these techniques is that the workpiece&#x2019;s exterior dimensions do not change much during or after processing (<xref ref-type="bibr" rid="B11">Bagherpour et al., 2019</xref>). To date, there have been reports of around 120 distinct SPD techniques with a range of deformation modes for varied material geometries and forms (<xref ref-type="bibr" rid="B96">Zendehdel and Hassani, 2012</xref>). These include MDF (multidirectional forging), RCS (repeated corrugation and straightening), TE (twist extrusion), HPT (high pressure torsion) (<xref ref-type="bibr" rid="B88">Valiev and Langdon, 2006</xref>), ECAP (equal channel angular extrusion/pressing (<xref ref-type="bibr" rid="B47">Hong et al., 2014</xref>), and ARB (accumulative roll bonding) (<xref ref-type="bibr" rid="B62">Mishra et al., 2000</xref>).</p>
<p>
<xref ref-type="bibr" rid="B62">Mishra et al. (2000)</xref> used projected friction stir processing (FSP) and the basic philosophy of friction stir welding (FSW) as a new SPD technique for microstructural modification in 1999. Without altering the plate&#x2019;s shape or size, FSP creates a submicron-level ultra-fine-grain structure by applying enormous shear strain to the material. FSW was created in 1991 by the Welding Institute (TWI), UK, and since then, there have been multiple documented process modifications of this technology. A revolving tool with a shoulder and a joining pin is used in the solid-state metal joining process known as FSW. To join two metal sheets, the pin is inserted into their interface and passed through (<xref ref-type="bibr" rid="B57">Lockwood et al., 2002</xref>). A recrystallized weld stir zone microstructure is the unique feature of the resulting joint produced via FSW that typically has a finer grain structure than the base metal (<xref ref-type="bibr" rid="B61">Mishra and Ma, 2005</xref>). During FSP, a rotating tool is traversed across a single piece of material to modify the microstructure, properties, and, sometimes, the composition (<xref ref-type="bibr" rid="B60">Mishra, 2004</xref>).</p>
<p>FSP may be the most significant and extensively studied variety of the friction stir technique due to its unique features, which include minimal heat generation, mechanical mixing, huge material flow, high forging pressure, ultra-fine-grain structure, and random disorientation of grain boundaries (<xref ref-type="bibr" rid="B20">Charit and Mishra, 2005</xref>). FSP is basically a local thermomechanical metal working method, wherein the tool is plunged into the workpiece and then traversed along a desired path to alter the localized microstructure (<xref ref-type="bibr" rid="B9">Arbegast, 2003</xref>). Localized heating and softening of the friction between the tool and the workpiece causes the substance to form. A small volume of plasticized material flows from the front of the pin (advancing side) to the back of the pin (retreating side). This leads to intense plastic deformation of the material and results in a significant increase in defect density. Simultaneous heat generation and plastic flow of material eventually result in dynamic recrystallization.</p>
</sec>
<sec id="s2-3">
<title>2.3 Flow of materials during FSP</title>
<p>Numerous factors, including process parameters, tool shape, and tool material, affect the flow of plasticized material during FSP, making it exceedingly complex and leaving little knowledge of the deformation process (<xref ref-type="bibr" rid="B20">Charit and Mishra, 2005</xref>; <xref ref-type="bibr" rid="B9">Arbegast, 2003</xref>; <xref ref-type="bibr" rid="B16">Besharati-Givi and Asadi, 2014</xref>; <xref ref-type="bibr" rid="B41">Grujicic et al., 2010</xref>). According to Arbegast et al. (<xref ref-type="bibr" rid="B16">Besharati-Givi and Asadi, 2014</xref>), the material flow during FSP can be depicted as five basic working zones for metal: (i) Preheat. (ii) Initial deformation. (iii) Extrusion. (iv) Forging. (v) Post heat/cool down, as shown in <xref ref-type="fig" rid="F4">Figure 4a</xref>. Temperature increases ahead of the pin because of the frictional heat produced by the rotating tool and adiabatic heat originating from material deformation. This is called the preheat zone, and the heating rate of this zone is governed by the thermal characteristics of the material together with the tool traverse speed. As the tool begins traversing forward and the temperature of the material increases beyond the critical temperature (the temperature required to start material flow), an initial deformation zone forms and leads to material flow. Furthermore, as shown in <xref ref-type="fig" rid="F4">Figure 4b</xref>, an extrusion zone with a finite width is formed, wherein material travels around the pin from the front to the back. Under hydrostatic pressure, material entering the forging zone from the tool&#x2019;s front is pushed into the hole left by the pin. Finally, cooling of material takes place under either forced or passive cooling conditions.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>
<bold>(a)</bold> Schematic diagram showing material flow and <bold>(b)</bold> fundamental metal working zones generated during FSP (<xref ref-type="bibr" rid="B88">Valiev and Langdon, 2006</xref>).</p>
</caption>
<graphic xlink:href="fmech-11-1656081-g004.tif">
<alt-text content-type="machine-generated">Diagram illustrating friction stir welding. It shows two parts: (a) cross-section revealing zones like forging, extrusion, vortex swirl, and pre-heat; (b) 3D view highlighting tool rotation, welding direction, and zones like pre-heat, initial deformation, extrusion, forging, and cool down.</alt-text>
</graphic>
</fig>
<p>Microstructural changes in the material occur because of material flow during FSP. As illustrated in <xref ref-type="fig" rid="F5">Figure 5</xref> (<xref ref-type="bibr" rid="B20">Charit and Mishra, 2005</xref>; <xref ref-type="bibr" rid="B9">Arbegast, 2003</xref>; <xref ref-type="bibr" rid="B16">Besharati-Givi and Asadi, 2014</xref>; <xref ref-type="bibr" rid="B41">Grujicic et al., 2010</xref>), the microstructure of the friction stir-processed (FSPed) specimen essentially exhibits four different zones: the stir zone (SZ), the transition zone (TZ), the heat-affected zone (HAZ), and the base metal (BM).</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Different microstructural zones produced during FSP (<xref ref-type="bibr" rid="B47">Hong et al., 2014</xref>).</p>
</caption>
<graphic xlink:href="fmech-11-1656081-g005.tif">
<alt-text content-type="machine-generated">Diagram showing the cross-section of a weld, featuring labeled zones: A - Unaffected Material, B - Heat Affected Zone (HAZ), C - Thermomechanical Affected Zone (TMAZ), and D - Weld Nugget. Includes corresponding microstructure images for each zone, displaying variations in texture and composition over a 0.9 mm span.</alt-text>
</graphic>
</fig>
<p>The SZ, sometimes referred to as the nugget zone (NZ), is characterized by a very fine, recrystallized, and nearly equiaxed grain structure. It represents the location of the pin during processing and hence experiences the highest strain and temperature. Often, a few concentric rings can be observed in the SZ known as an &#x201c;onion-ring&#x201d; structure, which is a distinctive feature of this zone. The TZ, also known as the thermomechanically affected zone (TMAZ), appears in close vicinity and on either side of the SZ. It is subjected to the thermal cycle and mechanical stress. The strain and temperature in TZ are lower than those of SZ. Mostly deformed and rotated grain structure and sometimes, mixed microstructure comprising bulky and fine grains are observed in this zone. The HAZ is commonly observed in most of the thermomechanically processed materials. In an FSP specimen, it is present between TZ and BM. Material experiences thermal cycle without any plastic deformation in the HAZ. Though the peak temperature in this zone is less than that in TZ, it still has a noteworthy impact if the microstructure is thermally unstable. The BM is the region that is unaffected by the FSP.</p>
</sec>
</sec>
<sec id="s3">
<title>3 Parameters affecting FSP</title>
<p>FSP involves complex material movement. Due to high strain rates, the pattern of plastic deformation and thereby microstructure evolution is also complex. Processing parameters, tool material, and its geometry have a major impact on the temperature distribution and material flow pattern, and therefore, they have a strong influence on the microstructure evolution and associated material properties. A few major parameters affecting the FSP process are stated below.</p>
<sec id="s3-1">
<title>3.1 Tool rotation speed</title>
<p>Tool rotation speed is also referred to as spindle speed. It is the rate at which the tool rotates during processing and is measured in terms of revolutions per minute (RPM). It has a remarkable influence on the material flow and heat input (<xref ref-type="bibr" rid="B60">Mishra, 2004</xref>). The ideal tool rotation speed is established on the basis of the material to be processed. Although there is a complicated relationship between rotational speed and processing heat, it would seem that increasing rotation speed will result in more heat input and potentially lower-quality processed material (<xref ref-type="bibr" rid="B77">Simar et al., 2012</xref>). In addition, premature tool wear, chatter, and tool breakages may occur due to excessive rotational speed. Using the correct rotation speed will significantly influence tool life and the quality of processed material (<xref ref-type="bibr" rid="B97">Zhang et al., 2012</xref>).</p>
</sec>
<sec id="s3-2">
<title>3.2 Tool traverse speed</title>
<p>The tool traverse speed is also called the feed rate. It is the travel speed at which the tool advances against the workpiece and is measured in terms of inches per minute (ipm) or millimeters per minute. It has a strong influence on the overall thermal cycle. It has been stated that decreasing the traverse speed will lead to higher heat input and vice versa (<xref ref-type="bibr" rid="B60">Mishra, 2004</xref>). It is reported that lower than the required heat input causes voids or other flaws in the SZ, and, in a worst case, the tool may break, whereas excessive heat input results in poor quality of processed material because of the liquation of low-melting point phases. To facilitate the successful and defect-free processing (FSP), the ideal combination of rotation and traverse speed is necessary, which will ensure the optimum heat input required for extensive plastic flow of the material and reduce the tool&#x2019;s acting forces (<xref ref-type="bibr" rid="B60">Mishra, 2004</xref>).</p>
</sec>
<sec id="s3-3">
<title>3.3 Plunge depth</title>
<p>One of the most important process characteristics for good processing quality is the depth to which the shoulder penetrates inside the workpiece during FSP. The pressure below the tool increases by plunging the shoulder below the workpiece, and it leads to sound forging of the material at the back of the tool. Precise setting of the plunge depth is necessary to generate sufficient downward pressure and to ensure the complete penetration of the tool inside the workpiece. Plunge depth that is either less than or more than adequate may cause defects during FSP and deteriorate the quality of processed material (<xref ref-type="bibr" rid="B41">Grujicic et al., 2010</xref>).</p>
</sec>
<sec id="s3-4">
<title>3.4 Tool tilt angle</title>
<p>The angle between the spindle shaft and the plane normal to the workpiece is called the tool tilt angle. Generally, it is kept between 0&#xb0; and 3&#xb0;. It helps to forge the material in the cavity left by the FSP tool (<xref ref-type="bibr" rid="B62">Mishra et al., 2000</xref>).</p>
</sec>
</sec>
<sec id="s4">
<title>4 Friction stir processing tool</title>
<p>A non-consumable tool, featuring a pin (probe) and the shoulder as its main components, is used for FSP. It is the most critical component to the success of the process during the thermomechanical processing. The main functions of the FSP tool are (i) generating the required heat through friction; (ii) stirring, mixing, and dragging the plasticized material from the front of the pin to the back in the cavity; (iii) constraining the processed material under the tool shoulder (<xref ref-type="bibr" rid="B62">Mishra et al., 2000</xref>). Overall, the tool design (tool material and geometry) has a strong influence on the workpiece frictional heating, which causes material flow and the thermomechanical deformation during FSP (<xref ref-type="bibr" rid="B47">Hong et al., 2014</xref>). Tool design and material selection greatly influence the tool life, quality, and cost of processing. In recent times, many novel tool materials and geometrical features have been incorporated and examined pertaining to FSP tool design (<xref ref-type="bibr" rid="B62">Mishra et al., 2000</xref>).</p>
<sec id="s4-1">
<title>4.1 Tool types</title>
<p>As shown in <xref ref-type="fig" rid="F6">Figure 6</xref>, depending upon the type of pin (probe), three different types of FSP tools have been reported, viz., fixed, adjustable, and self-reacting. The tool, which is fabricated as a single piece comprising both the shoulder and the probe (pin), is called a fixed probe tool (<xref ref-type="fig" rid="F6">Figure 6a</xref>). It can be used to process the workpiece with a specific thickness only because the pin length is fixed (<xref ref-type="bibr" rid="B81">T et al., 2010</xref>). In the case of an adjustable probe tool (<xref ref-type="fig" rid="F6">Figure 6b</xref>), the shoulder and the probe are fabricated separately and then assembled to allow adjustment of the pin length. Two different materials can be used to fabricate the shoulder and the pin. Both the fixed and the adjustable tools need a backing anvil (<xref ref-type="bibr" rid="B81">T et al., 2010</xref>). The bobbin tool is made by assembling three separate parts&#x2014;the top shoulder, probe, and bottom shoulder&#x2014;as shown in <xref ref-type="fig" rid="F6">Figure 6c</xref>. It does not require a backing anvil to process workpieces of different thicknesses (<xref ref-type="bibr" rid="B62">Mishra et al., 2000</xref>).</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Types of FSW/P tools: <bold>(a)</bold> fixed probe, <bold>(b)</bold> adjustable probe, and <bold>(c)</bold> bobbin probe type (<xref ref-type="bibr" rid="B78">Skinner and Edwards, 2003</xref>).</p>
</caption>
<graphic xlink:href="fmech-11-1656081-g006.tif">
<alt-text content-type="machine-generated">(a) Close-up view of a pin with a labeled shoulder and pin section. (b) Another pin featuring a shoulder and an independent pin with directional indicators. (c) A pin with a top shoulder, pin, and a bottom shoulder, all labeled and annotated with directional arrows.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s4-2">
<title>4.2 Tool geometry</title>
<p>As the research on friction stir welding/processing (FSW/P) develops, new geometrical features are being developed and adapted concerning FSP tool design (<xref ref-type="bibr" rid="B62">Mishra et al., 2000</xref>). With the invention of novel tool geometries, the material flow around the pin has become more complex, and it is generally unique for a particular tool geometry (<xref ref-type="bibr" rid="B62">Mishra et al., 2000</xref>). The key parameters in determining the processing speed and the quality of the processing are shoulder profile, shoulder diameter, pin profile, pin length, and pin diameter (<xref ref-type="bibr" rid="B62">Mishra et al., 2000</xref>).</p>
</sec>
<sec id="s4-3">
<title>4.3 Tool shoulders</title>
<p>The main function of a tool shoulder is to generate the frictional heating necessary to plasticize the material of the workpiece during FSP. <xref ref-type="fig" rid="F7">Figure 7</xref> illustrates the most typical shoulder shapes and features (<xref ref-type="bibr" rid="B70">Rai et al., 2011</xref>). Concave shoulder geometry is the most commonly used shoulder design in FSW/P (<xref ref-type="bibr" rid="B97">Zhang et al., 2012</xref>). Its ability to restrict material extrusion from the sides made it more popular than other shoulder designs (<xref ref-type="bibr" rid="B76">Sharma et al., 2018</xref>). Typically, the concavity angle used ranges between 6&#xb0; and 10&#xb0;, and due to its simple shape, it is easy to fabricate. It can produce sound (without defect) and high quality FSP. Geometric features, such as concentric circles, ridges, scrolls, knurling, or grooves, can be incorporated on the shoulder surface to increase frictional heat and material flow. Other potential shoulder shapes are shoulders with a flat surface or a convex profile. Earlier convex end profile shoulders were not frequently used because they tended to push the material away from the pin (<xref ref-type="bibr" rid="B76">Sharma et al., 2018</xref>); however, their ability to process complex curvature makes them suitable for processing/joining different-thickness workpieces (<xref ref-type="bibr" rid="B56">Lockwood and Reynolds, 2002</xref>).</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>Shoulder shapes and features (<xref ref-type="bibr" rid="B78">Skinner and Edwards, 2003</xref>).</p>
</caption>
<graphic xlink:href="fmech-11-1656081-g007.tif">
<alt-text content-type="machine-generated">Diagram illustrating different shoulder and end surface features. The top row shows shoulder types: cylindrical, conical, flat, concave, and convex. The bottom row depicts end surface features: featureless, scrolls, ridges, knurling, grooves, and concentric circles.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s4-4">
<title>4.4 Tool pins (probes)</title>
<p>Material deformation and frictional heating are the two main functions of an FSW/P tool pin. This tool component is made to (i) produce enough frictional heat; (ii) shear and soften the material in front of it; (iii) transport the softened metal to the tool&#x2019;s back side. The tool pin is largely responsible for controlling the depth of processing in FSP and speed (<xref ref-type="bibr" rid="B76">Sharma et al., 2018</xref>). Tool pin geometry has a significant impact on the flow of plasticized material and is closely correlated with the FSP quality (<xref ref-type="bibr" rid="B55">Liu et al., 2020</xref>; <xref ref-type="bibr" rid="B53">Leszczynska-Madej et al., 2024</xref>; <xref ref-type="bibr" rid="B48">Huang et al., 2023</xref>).</p>
</sec>
<sec id="s4-5">
<title>4.5 Tool materials</title>
<p>The selection of tool material for FSW/P depends upon the desired tool life and the workpiece material. Appropriate tool material selection results in good quality FSP material for the desired application. The requirement of tool materials for FSP of soft metal alloys (magnesium, aluminum, etc.) is not very stringent. However, there are challenges in developing cost effective and durable tools for FSW/P of harder alloys (nickel, titanium, and steels, etc.) (<xref ref-type="bibr" rid="B69">Pawar et al., 2024</xref>) that will consistently produce commercially viable and structurally sound products.</p>
<p>FSP tool material properties, viz., mechanical strength, wear resistance, hardness, fracture toughness, thermal conductivity, and coefficient of thermal expansion, influence the product quality, tool life, and performance (<xref ref-type="bibr" rid="B97">Zhang et al., 2012</xref>). An FSW/P tool should not react with either the workpiece material or atmospheric oxygen and keep its dimensional stability without losing geometrical features (<xref ref-type="bibr" rid="B76">Sharma et al., 2018</xref>). The material and tool compatibilities are shown in <xref ref-type="table" rid="T2">Table 2</xref>.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>FSP tool materials used for various workpiece materials (<xref ref-type="bibr" rid="B70">Rai et al., 2011</xref>).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Workpiece material</th>
<th align="left">Tool material</th>
<th align="left">Operating temperature</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Magnesium alloys</td>
<td align="left">Tool steel (H13)</td>
<td align="left">440 &#xb0;C&#x2013;550&#xa0;&#xb0;C</td>
</tr>
<tr>
<td align="left">Aluminum alloys</td>
<td align="left">Tool steel (H13, D2, Orvar Supreme, Divar), WC-Co</td>
<td align="left">250 &#xb0;C&#x2013;400&#xa0;&#xb0;C</td>
</tr>
<tr>
<td rowspan="2" align="left">Copper alloys</td>
<td align="left">Nickel alloys (Nimonic 90, PM 3030, IN-100, IN939, Stellite 12, MAR-M-002)</td>
<td rowspan="2" align="left">600 &#xb0;C&#x2013;900&#xa0;&#xb0;C</td>
</tr>
<tr>
<td align="left">PCBN, tungsten alloys (W-Re and W-LaO2)</td>
</tr>
<tr>
<td align="left">Nickel alloys</td>
<td align="left">PCBN</td>
<td align="left">600 &#xb0;C&#x2013;800&#xa0;&#xb0;C</td>
</tr>
<tr>
<td align="left">Titanium alloys</td>
<td align="left">PCBN, tungsten alloys (W-Re and W-LaO2)</td>
<td align="left">700 &#xb0;C&#x2013;1,050&#xa0;&#xb0;C</td>
</tr>
<tr>
<td align="left">Low alloy steels</td>
<td align="left">WC-Co, PCBN, tungsten alloys (W-Re and W-LaO2)</td>
<td align="left">650 &#xb0;C&#x2013;850&#xa0;&#xb0;C</td>
</tr>
<tr>
<td align="left">Stainless steels</td>
<td align="left">PCBN, tungsten alloys (W-Re and W-LaO2)</td>
<td align="left">860 &#xb0;C&#x2013;1,020&#xa0;&#xb0;C</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec id="s5">
<title>5 Thermal modeling</title>
<p>To model the material flow pattern during the FSW of AA2024, <xref ref-type="bibr" rid="B45">Heurtier et al. (2022)</xref> proposed a new mechanical analysis, from which the relevant strain and temperature maps were derived. The process generated a flow that was derived from the velocity fields of classical fluid mechanics. <xref ref-type="bibr" rid="B84">Ulysse (2002a)</xref> used 3D visco-plastic modeling to model stir welding. According to that study, pin forces rise as weld speeds and rotational speeds decrease. Additionally, it looked at how varied rotating and welding rates affected the tool&#x2019;s forces and how tool speeds affected plate temperature. <xref ref-type="bibr" rid="B79">Song and Kovacevic (2003)</xref> created a 3D heat transfer model for FSW. They developed a moving coordinate to make modeling a moving tool easier. The model took into account the heat input from the tool shoulder and the pin. The control equations were solved using the finite difference method, and the outcomes showed good agreement with the experimental findings. Their main finding was that FSW benefited from the workpiece&#x2019;s prior heating. This model facilitated the determination of the temperature distribution. This model makes it easy to determine the temperature distribution over the moving tool pin. Both the tool and the workpiece can be used with this model. To get behind the spinning pin, tool pins frequently slide from the side they are retreating. Additionally, they investigated the variations in velocity fields derived from two distinct models of the tool&#x2013;material interaction.</p>
<p>
<xref ref-type="bibr" rid="B79">Song and Kovacevic (2003)</xref> developed a 3D heat transfer model for FSW. They included a moving coordinate to facilitate the modeling of a moving instrument. The model took into account the heat input from the pin and the tool shoulder. The control equations were solved using the finite difference method, and the outcomes showed good agreement with the experimental data. Their work&#x2019;s key finding was that FSW benefited from the workpiece&#x2019;s earlier heating. The model made figuring out the temperature distribution easier. The friction between the shoulder, the probe, and the material serves as the model&#x2019;s heat source.</p>
<p>Numerical simulation offers a quantitative framework for comprehending the dynamics of the FSW thermomechanical process. This also sheds light on the friction-stir weld&#x2019;s thermal history and the development of longitudinal, lateral, and through-thickness stress. In order to simulate the FSP of aluminum alloy 5083, a computation-efficient process model based on the coupled Eulerian&#x2013;Lagrangian (CEL) formulation was developed using ABAQUS/Explicit (<xref ref-type="bibr" rid="B8">Ali Ansari et al., 2018</xref>). The effects of tool pin profile and rotational speed during the FSP process are assessed through simulations (<xref ref-type="bibr" rid="B8">Ali Ansari et al., 2018</xref>) as presented in <xref ref-type="table" rid="T4">Table 4</xref>. To simulate complex process mechanics and optimize FSP process parameters for industrial applications, this work demonstrates the potential of the CEL model as a potent numerical tool. The experimental findings supported the proposal by <xref ref-type="bibr" rid="B10">Asadi et al. (2011)</xref> to use DEFORM 3D software, which was created based on Lagrangian implicit, for a thermomechanical simulation of FSP. Simulation is an excellent way to forecast distributions of effective strain and temperature. The simulation was used to determine the material&#x2019;s temperature and effective strain around the tool pin. The peak temperature and effective strain required for recrystallization at the bottom of the SZ and the sides that were moving forward and backward, were determined as presented in <xref ref-type="table" rid="T4">Table 4</xref>. Thus, the simulation can be used to anticipate the breadth of the SZ.</p>
</sec>
<sec id="s6">
<title>6 Advances in friction stir processing and aluminum alloy composites</title>
<p>According to <xref ref-type="bibr" rid="B73">Sahdev et al. (2021)</xref>, the mechanical and microstructural features of the stir zone can be accurately supervised by adjusting the parameters of tool design, material properties, FSP parameters, and active heating and cooling as presented in <xref ref-type="table" rid="T4">Table 4</xref>. A three-dimensional heat transfer model for FSP and a numerical inverse approach are developed to predict the Coulomb friction coefficient by integrating optimization, finite-element simulations, and experimental testing. <xref ref-type="bibr" rid="B24">Chintalu et al. (2021)</xref> proposed a three-dimensional transient thermal model based on finite elements to predict the thermal history during FSP of AA5052. In compliance with the stated experimental design, the three parameters of shoulder diameter, tool traverse speed, and tool rotation speed are changed as presented in <xref ref-type="table" rid="T4">Table 4</xref>. The finite-element model is used to forecast the thermal history for different combinations of parameters. A regression model is developed to examine the impact of process parameters on the thermal history, utilizing the findings of the numerical model.</p>
<p>
<xref ref-type="bibr" rid="B27">Deore et al. (2019)</xref> suggested surface composites based on AA7075 that are reinforced with various filler materials. Electron backscattered diffraction (EBSD), x-ray diffraction (XRD), and optical and scanning electron microscopy (OM and SEM) were used to characterize the microstructural evolution of aluminum matrix surface composites that have been friction stir-treated with regard to the respective impacts of various filler materials and the ensuing age hardening as presented in <xref ref-type="table" rid="T4">Table 4</xref>. According to <xref ref-type="bibr" rid="B51">Kumaraswamy et al. (2023)</xref>, aluminum alloy composite materials are widely used in highly scientific applications because of their low weight, high strength, and improved tribological qualities. Aluminum oxide (Al2O3) and boron carbide (B4C) particles were reinforced using the sand mold technique in an electric resistance furnace to create the Al7075 hybrid composite. This work examined the mechanical behavior of hybrid composites made of Al7075, Al2O3, and B4C with stable Al2O3 contents of 2% and varied B4C weight percentages ranging from 2% to 6%. Both pure and cast specimens were tested for mechanical attributes such as hardness, microstructure analysis, and tensile and compressive strength as presented in <xref ref-type="table" rid="T4">Table 4</xref>. The mechanical properties of the hybrid composites made from Al7075 alloy were experimentally investigated and validated in this study using the ASTM standard and FEA. The findings show that while tensile strength decreased, mechanical properties, including compressive strength and hardness, increased when hard ceramic particles (Al2O3/B4C) were introduced to a matrix alloy (Al7075). ANSYS successfully replicated the static structural tensile test. A correlation between the analytical and FEA results was found.</p>
<p>
<xref ref-type="bibr" rid="B4">Akabari et al. (2023a)</xref> used numerical techniques to investigate the effects of process factors, such as welding speed and rotation speed, on material flow, temperature, and strain are investigated shown in <xref ref-type="fig" rid="F8">Figure 8</xref>, and friction stir welding between AA5083 and AA7075 was suggested as presented in <xref ref-type="table" rid="T3">Table 3</xref>. Using a coupled Eulerian&#x2013;Lagrangian (CEL) technique, the temperature, strain, and material mixing during the welding of AA7075 and AA5083 alloys were examined as presented in <xref ref-type="table" rid="T4">Table 4</xref>. When comparing the stir zone (SZ) of the simulation-modeled and experimentally fabricated samples, it was found that the CEL approach had correctly predicted the mixing of materials in the SZ. As the rotating or welding speed increases, the material flow simulation shows that at the higher surfaces of the sheets, AA7075 is more stretched toward AA5083, suggesting a higher material flow density.</p>
<fig id="F8" position="float">
<label>FIGURE 8</label>
<caption>
<p>
<bold>(a)</bold> Thermocouples for measuring temperature <bold>(b)</bold> A comparison of the simulated and experimental temperature distributions away from the centerline of the workpiece (<xref ref-type="bibr" rid="B8">Ali Ansari et al., 2018</xref>).</p>
</caption>
<graphic xlink:href="fmech-11-1656081-g008.tif">
<alt-text content-type="machine-generated">The image displays four graphs: 1. Top left (a): A scatter plot showing maximum temperature in degrees Celsius versus friction coefficient, with data points and a trend line indicating a positive correlation.2. Top right (a): A line graph of temperature in degrees Celsius over time in seconds, showing curves for advancing and retreating sides with peaks around 50 seconds.3. Bottom left (b): A scatter plot showing mean axial force in kilonewtons versus friction coefficient, with a trend line indicating a negative correlation.4. Bottom right (b): A line plot of peak temperature in degrees Celsius versus distance from the centerline in millimeters. Experimental and simulation data are shown with points peaking symmetrically around the centerline.</alt-text>
</graphic>
</fig>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Thermal properties of aluminium alloy and H13 FSP tool (<xref ref-type="bibr" rid="B6">Akbari et al., 2023</xref>).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Property</th>
<th align="left">A356</th>
<th align="left">FSP tool</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Heat capacity (N/mm<sup>2 0</sup>C)</td>
<td align="left">2.57</td>
<td align="left">4.5</td>
</tr>
<tr>
<td align="left">Heat transfer coefficient between FSP tool and joint (N/ <sup>0</sup>&#xa0;C&#xa0;s&#xa0;mm<sup>2</sup>)</td>
<td align="left">11</td>
<td align="left">11</td>
</tr>
<tr>
<td align="left">Conductivity (w/m<sup>0</sup> C)</td>
<td align="left">117</td>
<td align="left">24.5</td>
</tr>
<tr>
<td align="left">Heat transfer coefficient between joint and backing plate (N/C&#xa0;s&#xa0;mm)</td>
<td align="left">5</td>
<td align="left"/>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Comparative study of friction stir processing techniques and their effects.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Sr No</th>
<th align="left">FSP zones</th>
<th align="left">Key parameters</th>
<th align="left">Process effects</th>
<th align="left">Ref. No(s)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">1</td>
<td align="left">SZ (Stir zone), Advancing side, Retreating side</td>
<td align="left">Tool rotational speed, Tool pin profile</td>
<td align="left">CEL model simulates full FSP phases; effective in optimizing parameters</td>
<td align="left">
<xref ref-type="bibr" rid="B8">Ali Ansari et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">2</td>
<td align="left">SZ, Advancing side, Retreating side, Bottom</td>
<td align="left">Temperature, Effective strain</td>
<td align="left">Simulation predicts temperature/strain distribution and SZ width; essential for recrystallization</td>
<td align="left">
<xref ref-type="bibr" rid="B10">Asadi et al. (2011)</xref>
</td>
</tr>
<tr>
<td align="left">3</td>
<td align="left">Stir zone</td>
<td align="left">Tool design, Tool material, Process parameters, and Heating/cooling</td>
<td align="left">ANSYS simulation reveals that mechanical properties can be fine-tuned via parameter control</td>
<td align="left">
<xref ref-type="bibr" rid="B73">Sahdev et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">4</td>
<td align="left">Weld region (thermal history)</td>
<td align="left">Tool rotation speed, Traverse speed, and Shoulder diameter</td>
<td align="left">3D FEM predicts thermal history; used for regression modeling of parameter effects</td>
<td align="left">
<xref ref-type="bibr" rid="B24">Chintalu et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">5</td>
<td align="left">Not zone-specific (composite material)</td>
<td align="left">Simulation inputs for tensile loading</td>
<td align="left">Compressive strength and hardness improved; tensile strength reduced; validated by FEA</td>
<td align="left">
<xref ref-type="bibr" rid="B51">Kumaraswamy et al. (2023)</xref>
</td>
</tr>
<tr>
<td align="left">6</td>
<td align="left">Upper interface (sheet cross-section), Flow pattern between AA5083 and AA7075</td>
<td align="left">Welding speed and rotational speed</td>
<td align="left">Increased rotation/decreased speed &#x2192; more flow from AA7075 to AA5083; confirms material flow intensity</td>
<td align="left">(<xref ref-type="bibr" rid="B5">Akabari et al., 2023b</xref>; <xref ref-type="bibr" rid="B4">Akabari et al., 2023a</xref>)</td>
</tr>
<tr>
<td align="left">7</td>
<td align="left">Joint interface in F-SPR</td>
<td align="left">Numerical modeling and temperature distribution</td>
<td align="left">CEL model accurately predicts joint formation and strength in F-SPR</td>
<td align="left">
<xref ref-type="bibr" rid="B48">Huang et al. (2023)</xref>
</td>
</tr>
<tr>
<td align="left">8</td>
<td align="left">FSPed surface layer</td>
<td align="left">Filler type (MWCNT, Cu, SiC), aging treatment</td>
<td align="left">Microstructure altered by filler and post-processing; improved hardness, toughness, wear behavior</td>
<td align="left">
<xref ref-type="bibr" rid="B27">Deore et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">9</td>
<td align="left">Surface composite layer</td>
<td align="left">Tool rotational speed, Tilt angle, Reinforcement % (SiC, Eggshell)</td>
<td align="left">Surface properties modified; tensile and hardness improved through optimized parameters</td>
<td align="left">
<xref ref-type="bibr" rid="B33">Dwivedi et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">10</td>
<td align="left">Multi-pass stir zone</td>
<td align="left">SiC reinforcement, Multiple passes</td>
<td align="left">Multi-pass FSP improves microstructure and compressive strength significantly</td>
<td align="left">
<xref ref-type="bibr" rid="B53">Leszczynska-Madej et al. (2024)</xref>
</td>
</tr>
<tr>
<td align="left">11</td>
<td align="left">Composite matrix zone</td>
<td align="left">GNP, BN, VC content</td>
<td align="left">Hybrid nanocomposites (AA7075-based) achieved the highest hardness and compression stress</td>
<td align="left">
<xref ref-type="bibr" rid="B50">Khoshaim et al. (2023)</xref>
</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>
<xref ref-type="bibr" rid="B59">Menda et al. (2024)</xref> recommended aluminum composites to meet the growing demand for hybrid materials that need to be produced more quickly. Because of its excellent corrosion resistance, low weight, and high heat resistance, this composite material finds extensive use in the automotive and aerospace industries. The primary objective of this project was to produce graphene and TiB2 reinforcements for the Al7075 alloy. Using the stir casting technique, mechanical and tribological properties were measured and improved by mixing TiB2 and graphene with the foundation material, aluminum-7075. While the TiB2 content ranged from 1% to 15% of its total weight, the recommended graphene content was 1%, 2%, and 3%.</p>
</sec>
<sec id="s7">
<title>7 Effect of FSW on microstructures</title>
<p>B. Mohan Bharathi et al. explores the enhancement of AZ31 magnesium alloy through friction stir processing (FSP) followed by heat treatment improves the corrosion resistance as shown in <xref ref-type="fig" rid="F9">Figures 9</xref>, <xref ref-type="fig" rid="F10">10</xref> (<xref ref-type="bibr" rid="B63">Mohan Bharathi et al., 2020</xref>).</p>
<fig id="F9" position="float">
<label>FIGURE 9</label>
<caption>
<p>Constitutional phases in BM, HT1, HT3, and HT8 (XRD) (<xref ref-type="bibr" rid="B63">Mohan Bharathi et al., 2020</xref>).</p>
</caption>
<graphic xlink:href="fmech-11-1656081-g009.tif">
<alt-text content-type="machine-generated">X-ray diffraction patterns of different samples labeled as BM, HT1, HT3, and HT8, depicted in red, green, blue, and black lines, respectively. Peaks marked with asterisks and plus signs indicate phases of alpha-Mg and beta-Mg17Al12. The x-axis represents degrees (2&#x3B8;), and the y-axis shows relative intensity (arbitrary units).</alt-text>
</graphic>
</fig>
<fig id="F10" position="float">
<label>FIGURE 10</label>
<caption>
<p>Microhardness of the specimens (<xref ref-type="bibr" rid="B63">Mohan Bharathi et al., 2020</xref>).</p>
</caption>
<graphic xlink:href="fmech-11-1656081-g010.tif">
<alt-text content-type="machine-generated">Bar chart showing hardness (Hv) values for different samples titled &#x22;Hardness.&#x22; Categories BM, FSP DP, HT 1 through HT 10 are on the x-axis. Hardness values range from approximately 50 to 70 on the y-axis, with highest value at HT 3. Error bars indicate variability.</alt-text>
</graphic>
</fig>
<p>Using a 3D FEM model, M. Akabari et al. examined how tool components contribute to heat and strain development during friction stir welding (FSW) as shown in <xref ref-type="fig" rid="F11">Figures 11</xref>, <xref ref-type="fig" rid="F12">12</xref>. The results show that the tool shoulder generates 90% of the heat, with the probe alone contributing very little. Frictional heat is the main cause of the workpiece&#x2019;s rising temperature, as opposed to plastic deformation shown in <xref ref-type="fig" rid="F13">Figures 13</xref>&#x2013;<xref ref-type="fig" rid="F15">15</xref>. Important information for improving the design of FSW/FSP tools to increase welding efficiency is provided by this study (<xref ref-type="bibr" rid="B6">Akbari et al., 2023</xref>; <xref ref-type="bibr" rid="B8">Ali Ansari et al., 2018</xref>; <xref ref-type="bibr" rid="B38">Geng et al., 2022</xref>).</p>
<fig id="F11" position="float">
<label>FIGURE 11</label>
<caption>
<p>Dimensions of the tool (<xref ref-type="bibr" rid="B6">Akbari et al., 2023</xref>).</p>
</caption>
<graphic xlink:href="fmech-11-1656081-g011.tif">
<alt-text content-type="machine-generated">Photograph and diagram of a cylindrical tool with a pin and shoulder. The pin is on top, labeled as having a diameter of six millimeters and a height of 3.5 millimeters. The shoulder is marked with a diameter of 18 millimeters. The diagram provides a visual reference alongside the tool.</alt-text>
</graphic>
</fig>
<fig id="F12" position="float">
<label>FIGURE 12</label>
<caption>
<p>Meshing of the workpiece (<xref ref-type="bibr" rid="B6">Akbari et al., 2023</xref>).</p>
</caption>
<graphic xlink:href="fmech-11-1656081-g012.tif">
<alt-text content-type="machine-generated">Rendering of a computational mesh showing varying mesh sizes for a section of material. The mesh is triangular, with sizes ranging from 0.7 millimeters to 2 millimeters, annotated with red lines and text.</alt-text>
</graphic>
</fig>
<fig id="F13" position="float">
<label>FIGURE 13</label>
<caption>
<p>Temperature history from experimental tests (<xref ref-type="bibr" rid="B6">Akbari et al., 2023</xref>).</p>
</caption>
<graphic xlink:href="fmech-11-1656081-g013.tif">
<alt-text content-type="machine-generated">Graph showing temperature over time in seconds. Blue line represents numerical results and red line represents experimental results. Both lines increase, with numerical results slightly above experimental ones. Temperature ranges from 0 to 400 degrees Celsius.</alt-text>
</graphic>
</fig>
<fig id="F14" position="float">
<label>FIGURE 14</label>
<caption>
<p>Microstructure of <bold>(a)</bold> the welding zone; <bold>(b)</bold> the SZ; <bold>(c)</bold> the TMAZ; <bold>(d)</bold> the parent alloy (<xref ref-type="bibr" rid="B6">Akbari et al., 2023</xref>).</p>
</caption>
<graphic xlink:href="fmech-11-1656081-g014.tif">
<alt-text content-type="machine-generated">Four microstructure images are shown. Image (a) depicts zones labeled SZ and TMAZ, separated by red dashed lines, with a scale bar of two hundred micrometers. Images (b), (c), and (d) display green-tinted micrographs with dark patterns and a scale bar of twenty-five micrometers each.</alt-text>
</graphic>
</fig>
<fig id="F15" position="float">
<label>FIGURE 15</label>
<caption>
<p>Material flow pattern (<xref ref-type="bibr" rid="B6">Akbari et al., 2023</xref>).</p>
</caption>
<graphic xlink:href="fmech-11-1656081-g015.tif">
<alt-text content-type="machine-generated">Diagram showing a meshed simulation of material flow around a pin during a process. The top row illustrates forces on retreating and advancing sides with arrows. The bottom row shows shoulder-driven and pin-driven flow areas, highlighting regions of influence.</alt-text>
</graphic>
</fig>
<p>Mohammad Ali Ansari et al. proposed a computationally efficient model for friction stir processing using ABAQUS/explicit with a coupled Eulerian&#x2013;Lagrangian (CEL) approach as shown in <xref ref-type="fig" rid="F16">Figures 16</xref>&#x2013;<xref ref-type="fig" rid="F18">18</xref>. Their model simulated the 3D finite element, tool plunge, dwelling, and stirring stages in the FSP of aluminum alloy 5083. Through experimental force and temperature measurements, simulations examine the impacts of pin profile and tool rotating speed shown in <xref ref-type="fig" rid="F19">Figure 19</xref>. The article emphasizes how the CEL model may optimize FSP parameters for industrial applications and capture intricate process dynamics. In this work, a three-dimensional CEL model was developed and solved using ABAQUS/Explicit to imitate the FSP process&#x2019;s plunging, dwelling, and stirring phases. Although a Lagrangian formulation was used to describe the FSP tool, the model treated the workpiece as an Eulerian domain (<xref ref-type="bibr" rid="B85">Ulysse, 2002b</xref>; <xref ref-type="bibr" rid="B7">Al-Badour et al., 2013</xref>; <xref ref-type="bibr" rid="B74">Salloomi and Al-Sumaidae, 2021</xref>; <xref ref-type="bibr" rid="B21">Chauhan et al., 2018</xref>; <xref ref-type="bibr" rid="B25">Das et al., 2021</xref>; <xref ref-type="bibr" rid="B32">Ducobu et al., 2017</xref>). The Eulerian domain size was taken into consideration in accordance with the stress-free inflow condition because of the low computing efficiency and localized deformation during the FSP process. Accuracy and computational cost were traded off when choosing the domain size as shown in <xref ref-type="fig" rid="F20">Figures 20</xref>, <xref ref-type="fig" rid="F21">21</xref> (<xref ref-type="bibr" rid="B8">Ali Ansari et al., 2018</xref>).</p>
<fig id="F16" position="float">
<label>FIGURE 16</label>
<caption>
<p>CEL model boundary conditions (<xref ref-type="bibr" rid="B8">Ali Ansari et al., 2018</xref>).</p>
</caption>
<graphic xlink:href="fmech-11-1656081-g016.tif">
<alt-text content-type="machine-generated">Diagram of a friction stir welding process showing a Lagrangian tool with a rotational velocity interacting with an Eulerian workpiece. Arrows indicate inflow and outflow velocities, labeled with phase descriptions for plunging, dwelling, and stirring. Surfaces are marked as free top, sliding, and back surfaces. A heat sink is present below the sliding surface. A tool reference point is highlighted, and an XYZ coordinate axis is shown for orientation.</alt-text>
</graphic>
</fig>
<fig id="F17" position="float">
<label>FIGURE 17</label>
<caption>
<p>Mesh of the CEL model&#x2019;s <bold>(a)</bold> workpiece Eulerian mesh and <bold>(b)</bold> tool Lagrangian mesh (<xref ref-type="bibr" rid="B8">Ali Ansari et al., 2018</xref>).</p>
</caption>
<graphic xlink:href="fmech-11-1656081-g017.tif">
<alt-text content-type="machine-generated">3D illustrations show two meshed models. Image a displays a rectangular workpiece mesh, and image b shows a cylindrical tool mesh. Both models use a grid pattern to depict structural detail.</alt-text>
</graphic>
</fig>
<fig id="F18" position="float">
<label>FIGURE 18</label>
<caption>
<p>Comparison of the <bold>(a)</bold> cross-section of a stirred zone and <bold>(b)</bold> simulated plastic strain (<xref ref-type="bibr" rid="B8">Ali Ansari et al., 2018</xref>).</p>
</caption>
<graphic xlink:href="fmech-11-1656081-g018.tif">
<alt-text content-type="machine-generated">Panel a shows a labeled grayscale microstructure image, depicting sections of base material, heat-affected zone (HAZ), thermomechanically affected zone (TMAZ), and nugget center. Panel b displays a corresponding colored thermal distribution map, with distinct zones marked similarly, highlighting temperature variations from cooler blues to warmer reds.</alt-text>
</graphic>
</fig>
<fig id="F19" position="float">
<label>FIGURE 19</label>
<caption>
<p>UTS variation against welding and rotational speed (<xref ref-type="bibr" rid="B5">Akabari et al., 2023b</xref>). <bold>(a)</bold> Transition zone. <bold>(b)</bold> Nugget optical micrograph (<xref ref-type="bibr" rid="B8">Ali Ansari et al., 2018</xref>).</p>
</caption>
<graphic xlink:href="fmech-11-1656081-g019.tif">
<alt-text content-type="machine-generated">The image consists of two parts. The top section shows two bar charts. The first chart compares ultimate tensile strength in megapascal at different welding speeds: 36, 63, and 96 millimeters per minute, with the highest strength at 63 millimeters per minute. The second chart examines ultimate tensile strength at different rotational speeds: 500, 700, and 900 revolutions per minute, with the highest strength at 700 revolutions per minute. The bottom section contains two micrographs labeled &#x22;a&#x22; and &#x22;b&#x22;. Image &#x22;a&#x22; shows the microstructure of a material with regions labeled &#x22;Nugget&#x22;, &#x22;TMAZ&#x22;, and &#x22;HAZ&#x22;. Image &#x22;b&#x22; displays a uniform microstructure. Both have scale bars of 100 micrometers and 50 micrometers, respectively.</alt-text>
</graphic>
</fig>
<fig id="F20" position="float">
<label>FIGURE 20</label>
<caption>
<p>Impact of tool rotation speed on the average axial force during the stirring phase and the maximum temperature from the centerline (<xref ref-type="bibr" rid="B8">Ali Ansari et al., 2018</xref>).</p>
</caption>
<graphic xlink:href="fmech-11-1656081-g020.tif">
<alt-text content-type="machine-generated">Two graphs labeled &#x22;a&#x22; and &#x22;b&#x22; compare simulated and measured data. Graph &#x22;a&#x22; plots maximum temperature in degrees Celsius against rotational speed in revolutions per minute, with red diamonds for simulated and blue squares for measured data. Graph &#x22;b&#x22; shows average axial force in kilonewtons against rotational speed, using the same symbols for simulated and measured data.</alt-text>
</graphic>
</fig>
<fig id="F21" position="float">
<label>FIGURE 21</label>
<caption>
<p>The equivalent plastic strain rate distribution is found for rotational speeds of <bold>(a)</bold> 600&#xa0;rpm and <bold>(b)</bold> 800&#xa0;rpm (<xref ref-type="bibr" rid="B8">Ali Ansari et al., 2018</xref>).</p>
</caption>
<graphic xlink:href="fmech-11-1656081-g021.tif">
<alt-text content-type="machine-generated">Two simulation graphics, labeled &#x22;a&#x22; and &#x22;b&#x22;, show stress distribution in a material with embedded block shapes. Both panels use color scales indicating stress levels, from red (high stress) to blue (low stress). Panel &#x22;a&#x22; shows moderate stress, while panel &#x22;b&#x22; shows higher stress intensity, especially concentrated around the notch areas.</alt-text>
</graphic>
</fig>
<p>
<xref ref-type="disp-formula" rid="e1">Equations 1</xref>&#x2013;<xref ref-type="disp-formula" rid="e3">3</xref> (<xref ref-type="bibr" rid="B14">Benson and Okazawa, 2004</xref>) demonstrate how the Eulerian formulation, which conserves mass, momentum, and energy, was used to model the workpiece domain in the CEL model created in this study. The mass outflow rate and the rate of mass change inside the control volume are handled by the mass conservation equation. The change of the domain&#x2019;s momentum is equal to the sum of the body force and the spatial time derivative of the Cauchy stress tensor, according to the momentum conservation equation. The rate of work done on any element, the heat flux into the element through conduction, and the volumetric heat generation from the element are all included in the energy equation.<disp-formula id="e1">
<mml:math id="m1">
<mml:mrow>
<mml:mfrac>
<mml:mrow>
<mml:mi>&#x2202;</mml:mi>
<mml:mi>&#x3c1;</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mi>&#x2202;</mml:mi>
<mml:mi>t</mml:mi>
</mml:mrow>
</mml:mfrac>
<mml:mo>&#x2b;</mml:mo>
<mml:mo>&#x2207;</mml:mo>
<mml:mo>.</mml:mo>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:mi>&#x3c1;</mml:mi>
<mml:mi>v</mml:mi>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
<mml:mo>&#x3d;</mml:mo>
<mml:mn>0</mml:mn>
</mml:mrow>
</mml:math>
<label>(1)</label>
</disp-formula>
<disp-formula id="e2">
<mml:math id="m2">
<mml:mrow>
<mml:mfrac>
<mml:mrow>
<mml:mi>&#x2202;</mml:mi>
<mml:mi>&#x3c1;</mml:mi>
<mml:mi>v</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mi>&#x2202;</mml:mi>
<mml:mi>t</mml:mi>
</mml:mrow>
</mml:mfrac>
<mml:mo>&#x2b;</mml:mo>
<mml:mo>&#x2207;</mml:mo>
<mml:mo>.</mml:mo>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:mi>&#x3c1;</mml:mi>
<mml:mi>v</mml:mi>
<mml:mo>&#x2297;</mml:mo>
<mml:mi>v</mml:mi>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
<mml:mo>&#x3d;</mml:mo>
<mml:mo>&#x2207;</mml:mo>
<mml:mo>.</mml:mo>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mi>&#x3c3;</mml:mi>
<mml:mo>&#x2b;</mml:mo>
<mml:mi>&#x3c1;</mml:mi>
<mml:mi>b</mml:mi>
</mml:mrow>
</mml:math>
<label>(2)</label>
</disp-formula>
<disp-formula id="e3">
<mml:math id="m3">
<mml:mrow>
<mml:mfrac>
<mml:mrow>
<mml:mi>&#x2202;</mml:mi>
<mml:mi>e</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mi>&#x2202;</mml:mi>
<mml:mi>t</mml:mi>
</mml:mrow>
</mml:mfrac>
<mml:mo>&#x2b;</mml:mo>
<mml:mo>&#x2207;</mml:mo>
<mml:mo>.</mml:mo>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:mi>e</mml:mi>
<mml:mi>v</mml:mi>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
<mml:mo>&#x3d;</mml:mo>
<mml:mi>&#x3c3;</mml:mi>
<mml:mo>:</mml:mo>
<mml:mi>D</mml:mi>
</mml:mrow>
</mml:math>
<label>(3)</label>
</disp-formula>
</p>
<p>Where <inline-formula id="inf1">
<mml:math id="m4">
<mml:mrow>
<mml:mi>&#x3c1;</mml:mi>
</mml:mrow>
</mml:math>
</inline-formula> is the material density; <inline-formula id="inf2">
<mml:math id="m5">
<mml:mrow>
<mml:mi>&#x3c3;</mml:mi>
</mml:mrow>
</mml:math>
</inline-formula> is the Cauchy stress tensor; <inline-formula id="inf3">
<mml:math id="m6">
<mml:mrow>
<mml:mi>b</mml:mi>
</mml:mrow>
</mml:math>
</inline-formula> is the body force; <inline-formula id="inf4">
<mml:math id="m7">
<mml:mrow>
<mml:mi>e</mml:mi>
</mml:mrow>
</mml:math>
</inline-formula> is the internal energy; D is the velocity strain per unit volume. The operator splitting algorithm is used to divide the governing equations into Lagrangian and Eulerian steps. Following splitting, <xref ref-type="disp-formula" rid="e4">Equations 4</xref>, <xref ref-type="disp-formula" rid="e5">5</xref> are the equivalent equations for the Eulerian and Lagrangian steps, respectively (<xref ref-type="bibr" rid="B23">Chen et al., 2016</xref>; <xref ref-type="bibr" rid="B15">Benson and Stainier, 2000</xref>; <xref ref-type="bibr" rid="B12">Benson, 1997</xref>; <xref ref-type="bibr" rid="B13">Benson, 2000</xref>; <xref ref-type="bibr" rid="B2">Abbasi et al., 2021</xref>; <xref ref-type="bibr" rid="B30">Di et al., 2023</xref>; <xref ref-type="bibr" rid="B49">Kesharwani et al., 2024</xref>; <xref ref-type="bibr" rid="B58">Mackerle, 1999</xref>; <xref ref-type="bibr" rid="B87">Vaira Vi et al., 2016</xref>; <xref ref-type="bibr" rid="B40">Goyal and Garg, 2019</xref>).<disp-formula id="e4">
<mml:math id="m8">
<mml:mrow>
<mml:mi>&#x2202;</mml:mi>
<mml:mo>&#x2205;</mml:mo>
<mml:mo>/</mml:mo>
<mml:mi>&#x2202;</mml:mi>
<mml:mi>t</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mi>S</mml:mi>
</mml:mrow>
</mml:math>
<label>(4)</label>
</disp-formula>
<disp-formula id="e5">
<mml:math id="m9">
<mml:mrow>
<mml:mi>&#x2202;</mml:mi>
<mml:mo>&#x2205;</mml:mo>
<mml:mo>/</mml:mo>
<mml:mi>&#x2202;</mml:mi>
<mml:mi>t</mml:mi>
<mml:mo>&#x2b;</mml:mo>
<mml:mo>&#x2207;</mml:mo>
<mml:mi mathvariant="normal">&#x3a6;</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mn>0</mml:mn>
</mml:mrow>
</mml:math>
<label>(5)</label>
</disp-formula>
</p>
<p>Where <inline-formula id="inf5">
<mml:math id="m10">
<mml:mrow>
<mml:mi mathvariant="normal">&#x3a6;</mml:mi>
</mml:mrow>
</mml:math>
</inline-formula> is the flux function and <inline-formula id="inf6">
<mml:math id="m11">
<mml:mrow>
<mml:mi>S</mml:mi>
</mml:mrow>
</mml:math>
</inline-formula> is the source term.</p>
<p>David J. Benson et al. discussed multi-material Eulerian and Lagrangian formulations in solid mechanics. In Eulerian models, adjacent materials are perfectly bonded, while Lagrangian models require contact algorithms to enforce interaction constraints. Advanced contact algorithms are widely used in Lagrangian methods for large deformation problems like crash simulations, whereas Eulerian methods lag in contact modeling. An Eulerian formulation is well-suited for machining simulations, involving large deformations, material failure, and tool&#x2013;workpiece contact. Simulating isolated chips with shear band failure is used to assess contact implementation in multi-material Eulerian models as shown in <xref ref-type="fig" rid="F22">Figures 22</xref>, <xref ref-type="fig" rid="F23">23</xref> (<xref ref-type="bibr" rid="B14">Benson and Okazawa, 2004</xref>).</p>
<fig id="F22" position="float">
<label>FIGURE 22</label>
<caption>
<p>The operator split for a Eulerian formulation (<xref ref-type="bibr" rid="B14">Benson and Okazawa, 2004</xref>).</p>
</caption>
<graphic xlink:href="fmech-11-1656081-g022.tif">
<alt-text content-type="machine-generated">Illustration showing three steps in fluid dynamics. The left shows a grid with a blue shape, labeled &#x22;Lagrangian Step.&#x22; The middle shows the shape deformed, and on the right, the grid aligns with the new shape, labeled &#x22;Eulerian Step.&#x22; Red arrows connect each step.</alt-text>
</graphic>
</fig>
<fig id="F23" position="float">
<label>FIGURE 23</label>
<caption>
<p>The definitions of the penetration for pure and void elements (<xref ref-type="bibr" rid="B14">Benson and Okazawa, 2004</xref>).</p>
</caption>
<graphic xlink:href="fmech-11-1656081-g023.tif">
<alt-text content-type="machine-generated">Illustration of two square elements, showing Lagrangian and Eulerian nodes. The left element is labeled Eulerian material, fully filled with blue. The right element has a blue section labeled Void. Black and red nodes with arrows indicate node and material flow directions.</alt-text>
</graphic>
</fig>
<p>Deore H.A. et al. successfully produced AA 7075-based surface composites with MWCNT, Cu, and SiC fillers using friction stir processing, attaining uniform dispersion shown in <xref ref-type="fig" rid="F24">Figure 24</xref>. Microstructural characterization was carried out utilizing OM, SEM, EBSD, and XRD. Wear tests, impact toughness tests, and hardness tests were used to analyze mechanical properties. Following FSP and age hardening, the microhardness of SiC-reinforced composites increased from 143&#xa0;HV0.1 to 253&#xa0;HV0.1, indicating the greatest improvement. Wear loss decreased from 8.57&#xa0;mg to 5.49&#xa0;mg, and impact toughness increased from 15.8&#xa0;kJ to 27.5&#xa0;kJ. Precipitate evolution, Zener pinning, and grain refining were credited with the improvements. The best filler under the specified FSP and age-hardening conditions was SiC. Age-hardened SiC composites were used to produce nearly a two-fold improvement in hardness, as well as improvements in toughness and wear resistance shown in <xref ref-type="fig" rid="F25">Figure 25</xref> (<xref ref-type="bibr" rid="B72">Saeidi et al., 2015</xref>; <xref ref-type="bibr" rid="B52">Lebaal et al., 2017</xref>; <xref ref-type="bibr" rid="B36">Elangovan et al., 2009</xref>; <xref ref-type="bibr" rid="B3">Adetunla and Akinlabi, 2020</xref>; <xref ref-type="bibr" rid="B42">Harwani et al., 2023</xref>; <xref ref-type="bibr" rid="B27">Deore et al., 2019</xref>; <xref ref-type="bibr" rid="B29">Deore et al., 2022</xref>).</p>
<fig id="F24" position="float">
<label>FIGURE 24</label>
<caption>
<p>W-La<sub>2</sub>O instrument utilized for the experiment&#x2019;s actual photograph and drawing (<xref ref-type="bibr" rid="B27">Deore et al., 2019</xref>).</p>
</caption>
<graphic xlink:href="fmech-11-1656081-g024.tif">
<alt-text content-type="machine-generated">A technical drawing and photographs of a cylindrical metal component. The drawing shows a side view with dimensions of one hundred millimeters in length and three millimeters in width. The end view displays concentric circles with diameters twenty millimeters, six millimeters, and four millimeters. The photographs reveal the side and top views of the metal piece, exhibiting a shiny surface and precise machining.</alt-text>
</graphic>
</fig>
<fig id="F25" position="float">
<label>FIGURE 25</label>
<caption>
<p>
<bold>(a)</bold> Microstructure after FSP; <bold>(b)</bold> base metal AA7075 T6; <bold>(c)</bold> FSPed AA7075 stir zone without filler; <bold>(d)</bold> transition between FSPed stir zone and thermomechanically affected zone; <bold>(e)</bold> FSPed AA7075 stir zone with MWCNT filler; <bold>(f)</bold> FSPed AA7075 stir zone with Cu filler; <bold>(g)</bold> one of the FSPed AA7075s with SiC filler displayed in optical microstructures (<xref ref-type="bibr" rid="B27">Deore et al., 2019</xref>).</p>
</caption>
<graphic xlink:href="fmech-11-1656081-g025.tif">
<alt-text content-type="machine-generated">Image montage showing microscopic views of materials. Image a displays a sectional view with the SZ and TMAZ labeled. Images b and c show microstructures magnified to 500 micrometers. Image d highlights the boundary between SZ and TMAZ. Image e identifies an &#x22;Onion Ring Formation&#x22; area. Image f points out Cu particles, while image g highlights SiC particles, both at 500 micrometers.</alt-text>
</graphic>
</fig>
<p>Equations have been developed to model heat input from various FSP tool geometries and were validated using thermocouple data shown in <xref ref-type="fig" rid="F26">Figure 26</xref> (<xref ref-type="bibr" rid="B28">Deore et al., 2021</xref>; <xref ref-type="bibr" rid="B94">Wu et al., 2014</xref>; <xref ref-type="bibr" rid="B39">Gopan et al., 2018</xref>; <xref ref-type="bibr" rid="B46">Hofmann and Vecchio, 2007</xref>; <xref ref-type="bibr" rid="B19">Cavaliere and Squillace, 2005</xref>). Cooling curves were applied to the Derby&#x2013;Ashby model to predict the final grain size. Submerged friction stir processing (SFSP) was introduced to increase cooling rates and refine grain structure. Microstructures from FSP and SFSP were analyzed using transmission electron microscopy (<xref ref-type="bibr" rid="B43">Hasan Shojaeefard et al., 2015</xref>; <xref ref-type="bibr" rid="B75">Senthilkumar et al., 2019</xref>).</p>
<fig id="F26" position="float">
<label>FIGURE 26</label>
<caption>
<p>3D plot of FSW across the weld surface (<xref ref-type="bibr" rid="B46">Hofmann and Vecchio, 2007</xref>).</p>
</caption>
<graphic xlink:href="fmech-11-1656081-g026.tif">
<alt-text content-type="machine-generated">Three-dimensional graph showing temperature variations in degrees Celsius over time in seconds and across a weld cross-section. The peak represents the maximum temperature at the plunge area, with colors transitioning from blue to red to indicate temperature changes.</alt-text>
</graphic>
</fig>
</sec>
<sec sec-type="conclusion" id="s8">
<title>8 Conclusion</title>
<p>The study conducted on friction stir processing (FSP) for AA7075 to enhance its mechanical characteristics, including strength, hardness, and fatigue resistance. The uses of AA7075 in the structural, automotive, and aerospace industries are examined in addition to a comparative study of several light metal alloys. The effects of many FSP parameters on tool life, processing cost, joint quality, and overall process efficiency are investigated. The traverse speed, tilt angle, plunge depth, and tool rotation speed are some of these variables. The tool&#x2019;s material selection has a significant impact on the thermomechanical properties and material flow behavior during processing. Different tool-workpiece combinations are evaluated to identify the optimal options based on the operating temperature range and material compatibility.</p>
<p>The effect of FSP on microstructural evolution in different zones, including the stir zone, the thermomechanically affected zone (TMAZ), and the heat-affected zone (HAZ), is analyzed. The influence of grain refinement and precipitation hardening due to FSP is explored to understand property enhancements. The study also highlights advancements in process optimization, including multi-pass FSP and hybrid processing techniques. Additionally, challenges such as tool wear, defect formation, and heat management are addressed. Overall, the review provides insights into improving the efficiency and effectiveness of FSP for AA7075 through process modifications and material selection.</p>
<p>For FSP, a thermomechanical 3D FE model with CEL formulation was effectively created to model the process reaction. The three FSP steps&#x2014; plunging, dwelling, and stirring&#x2014;are replicated in ABAQUS/Explicit. The mass scaling technique is used to increase the efficiency of the computation. Both the retreating and advancing sides&#x2019; simulated temperature profiles matched the experiments quite well. Experimental validation is also performed on the contour plot and simulated force profile of a comparable plastic strain of the cross-section of the workpiece. The force profiles, strain rate, and process temperature during friction stir processing were all significantly impacted by the tool rotational speed, according to the simulation. The peak temperature in the stirring zone rose as the tool pin surface increased because of the increased frictional heat produced by the increasing frictional surface interaction between the tool and the work material. Temperature, strain, and material flow are evaluated during the FSP of AA7075 using a coupled Eulerian&#x2013;Lagrangian model.</p>
</sec>
</body>
<back>
<sec sec-type="author-contributions" id="s9">
<title>Author contributions</title>
<p>TP: Conceptualization, Software, Investigation, Resources, Supervision, Funding acquisition, Writing &#x2013; original draft, Project administration, Validation, Writing &#x2013; review and editing, Visualization, Data curation, Methodology, Formal Analysis. DW: Visualization, Data curation, Formal Analysis, Validation, Project administration, Resources, Methodology, Writing &#x2013; review and editing, Software, Investigation, Writing &#x2013; original draft, Conceptualization, Funding acquisition, Supervision. AP: Writing &#x2013; review and editing, Funding acquisition, Supervision, Investigation, Writing &#x2013; original draft, Software, Data curation, Validation, Resources, Project administration, Conceptualization, Methodology, Visualization, Formal Analysis. MN: Writing &#x2013; original draft, Writing &#x2013; review and editing. SSh: Writing &#x2013; review and editing, Writing &#x2013; original draft. SSa: Writing &#x2013; original draft, Formal Analysis, Project administration, Validation, Data curation, Visualization, Resources, Supervision, Conceptualization, Writing &#x2013; review and editing, Investigation, Software, Funding acquisition, Methodology.</p>
</sec>
<sec sec-type="funding-information" id="s10">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research and/or publication of this article.</p>
</sec>
<sec sec-type="COI-statement" id="s11">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="s12">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
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<sec sec-type="disclaimer" id="s13">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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