Optimization of process parameters in fabricating AA6082/Nip surface composite using friction stir processing technique
In this present study, an attempt was made to improve the Ultimate Tensile Strength (UTS) and Microhardness (MH) of friction stir-processed AA 6082 with Nip surface composites without affecting the ductility of the Base Metal (BM). Nip micron particle with an average size of 149 μm (99.99 purity) wa...
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description | In this present study, an attempt was made to improve the Ultimate Tensile Strength (UTS) and Microhardness (MH) of friction stir-processed AA 6082 with Nip surface composites without affecting the ductility of the Base Metal (BM). Nip micron particle with an average size of 149 μm (99.99 purity) was utilized as reinforcement and AA6082 as a matrix for fabricating the surface composites. Process parameters namely rotational speed, transverse speed, and volume fraction with three levels considered as input parameters for this study. Moreover, ultimate tensile strength, microhardness, and wear rate were determined as process output. For this study, experiments were conducted as per Taguchi’s L9 orthogonal array (OA) by repeating each trial three times and the average values were used for further analysis. ANOVA was performed to ensure the influential process parameter and the results exhibited that the volume fraction of Nip exhibited the most influential parameter among the three process parameters. Additionally, Grey relational analysis (GRA) was used to grade the rank of the experimental samples using the Grey Relation Coefficient (GRC). Based on this method, the optimal process parameters (Rotational Speed = 1250 rpm, Transverse Speed = 40 mm min−1, Volume Fraction = 18%) were chosen and the optimal sample (Rank 1) attained a UTS of 247 MPa and MH of 100 HV. The results revealed that the fabricated composite (AA6082/Nip) demonstrated an improvement in UTS (26.02%), MH (56.25%), and wear rate (57.38%) as compared to BM (AA6082). Eventually, the surfaces of the optimized samples were also analyzed by x-ray diffraction (XRD), energy dispersive x-ray analysis (EDAX), and field emission-scanning electron microscopy (FE-SEM) methods to confirm the composition of surface composite and the uniform distribution of particles. |
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Nip micron particle with an average size of 149 μm (99.99 purity) was utilized as reinforcement and AA6082 as a matrix for fabricating the surface composites. Process parameters namely rotational speed, transverse speed, and volume fraction with three levels considered as input parameters for this study. Moreover, ultimate tensile strength, microhardness, and wear rate were determined as process output. For this study, experiments were conducted as per Taguchi’s L9 orthogonal array (OA) by repeating each trial three times and the average values were used for further analysis. ANOVA was performed to ensure the influential process parameter and the results exhibited that the volume fraction of Nip exhibited the most influential parameter among the three process parameters. Additionally, Grey relational analysis (GRA) was used to grade the rank of the experimental samples using the Grey Relation Coefficient (GRC). Based on this method, the optimal process parameters (Rotational Speed = 1250 rpm, Transverse Speed = 40 mm min−1, Volume Fraction = 18%) were chosen and the optimal sample (Rank 1) attained a UTS of 247 MPa and MH of 100 HV. The results revealed that the fabricated composite (AA6082/Nip) demonstrated an improvement in UTS (26.02%), MH (56.25%), and wear rate (57.38%) as compared to BM (AA6082). Eventually, the surfaces of the optimized samples were also analyzed by x-ray diffraction (XRD), energy dispersive x-ray analysis (EDAX), and field emission-scanning electron microscopy (FE-SEM) methods to confirm the composition of surface composite and the uniform distribution of particles.</description><identifier>EISSN: 2053-1591</identifier><identifier>DOI: 10.1088/2053-1591/ad86a5</identifier><language>eng</language><publisher>Bristol: IOP Publishing</publisher><subject>Aluminum base alloys ; ANOVA ; Base metal ; Energy dispersive X ray analysis ; Field emission ; Friction stir processing ; Grey relational analysis ; micro-hardness ; Microhardness ; Orthogonal arrays ; Particulate composites ; Process parameters ; Taguchi method ; Tensile strength ; Ultimate tensile strength ; Variance analysis ; Wear ; Wear rate ; X ray analysis</subject><ispartof>Materials research express, 2024-10, Vol.11 (10), p.106518</ispartof><rights>2024 The Author(s). Published by IOP Publishing Ltd</rights><rights>2024 The Author(s). Published by IOP Publishing Ltd. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0000-0001-8309-0002 ; 0000-0003-1244-5472 ; 0000-0002-9736-8420</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://iopscience.iop.org/article/10.1088/2053-1591/ad86a5/pdf$$EPDF$$P50$$Giop$$Hfree_for_read</linktopdf><link.rule.ids>314,780,784,864,2102,27924,27925,38868,38890,53840,53867</link.rule.ids></links><search><creatorcontrib>S, Santhoshkumar</creatorcontrib><creatorcontrib>Kumar K L, Senthil</creatorcontrib><creatorcontrib>Rahiman M, Kalil</creatorcontrib><creatorcontrib>S, Manojkumar</creatorcontrib><title>Optimization of process parameters in fabricating AA6082/Nip surface composite using friction stir processing technique</title><title>Materials research express</title><addtitle>MRX</addtitle><addtitle>Mater. Res. Express</addtitle><description>In this present study, an attempt was made to improve the Ultimate Tensile Strength (UTS) and Microhardness (MH) of friction stir-processed AA 6082 with Nip surface composites without affecting the ductility of the Base Metal (BM). Nip micron particle with an average size of 149 μm (99.99 purity) was utilized as reinforcement and AA6082 as a matrix for fabricating the surface composites. Process parameters namely rotational speed, transverse speed, and volume fraction with three levels considered as input parameters for this study. Moreover, ultimate tensile strength, microhardness, and wear rate were determined as process output. For this study, experiments were conducted as per Taguchi’s L9 orthogonal array (OA) by repeating each trial three times and the average values were used for further analysis. ANOVA was performed to ensure the influential process parameter and the results exhibited that the volume fraction of Nip exhibited the most influential parameter among the three process parameters. Additionally, Grey relational analysis (GRA) was used to grade the rank of the experimental samples using the Grey Relation Coefficient (GRC). Based on this method, the optimal process parameters (Rotational Speed = 1250 rpm, Transverse Speed = 40 mm min−1, Volume Fraction = 18%) were chosen and the optimal sample (Rank 1) attained a UTS of 247 MPa and MH of 100 HV. The results revealed that the fabricated composite (AA6082/Nip) demonstrated an improvement in UTS (26.02%), MH (56.25%), and wear rate (57.38%) as compared to BM (AA6082). Eventually, the surfaces of the optimized samples were also analyzed by x-ray diffraction (XRD), energy dispersive x-ray analysis (EDAX), and field emission-scanning electron microscopy (FE-SEM) methods to confirm the composition of surface composite and the uniform distribution of particles.</description><subject>Aluminum base alloys</subject><subject>ANOVA</subject><subject>Base metal</subject><subject>Energy dispersive X ray analysis</subject><subject>Field emission</subject><subject>Friction stir processing</subject><subject>Grey relational analysis</subject><subject>micro-hardness</subject><subject>Microhardness</subject><subject>Orthogonal arrays</subject><subject>Particulate composites</subject><subject>Process parameters</subject><subject>Taguchi method</subject><subject>Tensile strength</subject><subject>Ultimate tensile strength</subject><subject>Variance analysis</subject><subject>Wear</subject><subject>Wear rate</subject><subject>X ray analysis</subject><issn>2053-1591</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>O3W</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>DOA</sourceid><recordid>eNpFkU1rGzEQhpdCISHNPUdBr3E9Gq1k7dGEfgRCc2nOYlYeJTLxaiPJlPbXVxun7UkwenhmXt6uu5LwSYK1awStVlIPck07a0i_687_jc66y1L2AICbQWk0593P-7nGQ_xNNaZJpCDmnDyXImbKdODKuYg4iUBjjr5B06PYbg1YXH-PsyjHHMiz8OkwpxIri2NZkNDgV2GpMf9VLh-V_dMUX478oXsf6Lnw5dt70T18-fzj5tvq7v7r7c32brVDbetKKh68GpUkQgosQfkeBxz0iGpQoDY4WkDULVuv-4CScfTeQiBtdyMrddHdnry7RHs353ig_Msliu51kPKjo1yjf2aH_QaADBuyvmfeDINRQYExbT2Dx-b6eHK1QC1CqW6fjnlq5zslEaDXppeNuj5RMc3_AQluacctVbilCndqR_0BSCuEVA</recordid><startdate>20241001</startdate><enddate>20241001</enddate><creator>S, Santhoshkumar</creator><creator>Kumar K L, Senthil</creator><creator>Rahiman M, Kalil</creator><creator>S, Manojkumar</creator><general>IOP Publishing</general><scope>O3W</scope><scope>TSCCA</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>KB.</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-8309-0002</orcidid><orcidid>https://orcid.org/0000-0003-1244-5472</orcidid><orcidid>https://orcid.org/0000-0002-9736-8420</orcidid></search><sort><creationdate>20241001</creationdate><title>Optimization of process parameters in fabricating AA6082/Nip surface composite using friction stir processing technique</title><author>S, Santhoshkumar ; Kumar K L, Senthil ; Rahiman M, Kalil ; S, Manojkumar</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-d258t-13e9c3b31aa2afe103c429295b23930372b80225591454f21e2bcc80fa58dbe33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Aluminum base alloys</topic><topic>ANOVA</topic><topic>Base metal</topic><topic>Energy dispersive X ray analysis</topic><topic>Field emission</topic><topic>Friction stir processing</topic><topic>Grey relational analysis</topic><topic>micro-hardness</topic><topic>Microhardness</topic><topic>Orthogonal arrays</topic><topic>Particulate composites</topic><topic>Process parameters</topic><topic>Taguchi method</topic><topic>Tensile strength</topic><topic>Ultimate tensile strength</topic><topic>Variance analysis</topic><topic>Wear</topic><topic>Wear rate</topic><topic>X ray analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>S, Santhoshkumar</creatorcontrib><creatorcontrib>Kumar K L, Senthil</creatorcontrib><creatorcontrib>Rahiman M, Kalil</creatorcontrib><creatorcontrib>S, Manojkumar</creatorcontrib><collection>IOP Publishing Free Content</collection><collection>IOPscience (Open Access)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>Materials Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Materials research express</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>S, Santhoshkumar</au><au>Kumar K L, Senthil</au><au>Rahiman M, Kalil</au><au>S, Manojkumar</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimization of process parameters in fabricating AA6082/Nip surface composite using friction stir processing technique</atitle><jtitle>Materials research express</jtitle><stitle>MRX</stitle><addtitle>Mater. Res. Express</addtitle><date>2024-10-01</date><risdate>2024</risdate><volume>11</volume><issue>10</issue><spage>106518</spage><pages>106518-</pages><eissn>2053-1591</eissn><abstract>In this present study, an attempt was made to improve the Ultimate Tensile Strength (UTS) and Microhardness (MH) of friction stir-processed AA 6082 with Nip surface composites without affecting the ductility of the Base Metal (BM). Nip micron particle with an average size of 149 μm (99.99 purity) was utilized as reinforcement and AA6082 as a matrix for fabricating the surface composites. Process parameters namely rotational speed, transverse speed, and volume fraction with three levels considered as input parameters for this study. Moreover, ultimate tensile strength, microhardness, and wear rate were determined as process output. For this study, experiments were conducted as per Taguchi’s L9 orthogonal array (OA) by repeating each trial three times and the average values were used for further analysis. ANOVA was performed to ensure the influential process parameter and the results exhibited that the volume fraction of Nip exhibited the most influential parameter among the three process parameters. Additionally, Grey relational analysis (GRA) was used to grade the rank of the experimental samples using the Grey Relation Coefficient (GRC). Based on this method, the optimal process parameters (Rotational Speed = 1250 rpm, Transverse Speed = 40 mm min−1, Volume Fraction = 18%) were chosen and the optimal sample (Rank 1) attained a UTS of 247 MPa and MH of 100 HV. The results revealed that the fabricated composite (AA6082/Nip) demonstrated an improvement in UTS (26.02%), MH (56.25%), and wear rate (57.38%) as compared to BM (AA6082). Eventually, the surfaces of the optimized samples were also analyzed by x-ray diffraction (XRD), energy dispersive x-ray analysis (EDAX), and field emission-scanning electron microscopy (FE-SEM) methods to confirm the composition of surface composite and the uniform distribution of particles.</abstract><cop>Bristol</cop><pub>IOP Publishing</pub><doi>10.1088/2053-1591/ad86a5</doi><tpages>17</tpages><orcidid>https://orcid.org/0000-0001-8309-0002</orcidid><orcidid>https://orcid.org/0000-0003-1244-5472</orcidid><orcidid>https://orcid.org/0000-0002-9736-8420</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Aluminum base alloys ANOVA Base metal Energy dispersive X ray analysis Field emission Friction stir processing Grey relational analysis micro-hardness Microhardness Orthogonal arrays Particulate composites Process parameters Taguchi method Tensile strength Ultimate tensile strength Variance analysis Wear Wear rate X ray analysis |
title | Optimization of process parameters in fabricating AA6082/Nip surface composite using friction stir processing technique |
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