A multi criteria decision making approach for process improvement in friction stir welding of aluminium alloy
•Multi criteria optimization of FSW parameter through GRA and TOPSIS.•The input parameters are rotational speed, welding speed and tool offset.•The output responses measured are tensile strength, hardness and impact toughness.•Higher rotational speed, lower welding speed and zero offset yields bette...
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| Veröffentlicht in: | Measurement : journal of the International Measurement Confederation 2017-10, Vol.108, p.1-8 |
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| container_title | Measurement : journal of the International Measurement Confederation |
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| creator | Sudhagar, S. Sakthivel, M. Mathew, Prince J. Daniel, S. Ajith Arul |
| description | •Multi criteria optimization of FSW parameter through GRA and TOPSIS.•The input parameters are rotational speed, welding speed and tool offset.•The output responses measured are tensile strength, hardness and impact toughness.•Higher rotational speed, lower welding speed and zero offset yields better result.•Comparison between GRA and TOPSIS has been done.
This work is an attempt to select the optimum process parameters for friction stir welding of aluminium 2024 alloy based on multiple criteria decision making approach. The friction stir welding experiments have been conducted according to L9 orthogonal array with preferred input parameters are tool rotational speed, welding speed and tool offset. The response parameters measured are ultimate tensile strength, impact toughness and hardness of welded joint that determines quality of joint. The multi criteria decision making techniques namely Grey Relational Analysis and Technique for Order Preference by Similarity to Ideal Solution are used to find the optimum process parameter which provides maximum value of all responses. Same result is obtained through both techniques and the optimum conditions are tool rotational speed of 1000rpm, welding speed of 80mm/min and tool offset at 0mm. |
| doi_str_mv | 10.1016/j.measurement.2017.05.023 |
| format | Article |
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This work is an attempt to select the optimum process parameters for friction stir welding of aluminium 2024 alloy based on multiple criteria decision making approach. The friction stir welding experiments have been conducted according to L9 orthogonal array with preferred input parameters are tool rotational speed, welding speed and tool offset. The response parameters measured are ultimate tensile strength, impact toughness and hardness of welded joint that determines quality of joint. The multi criteria decision making techniques namely Grey Relational Analysis and Technique for Order Preference by Similarity to Ideal Solution are used to find the optimum process parameter which provides maximum value of all responses. Same result is obtained through both techniques and the optimum conditions are tool rotational speed of 1000rpm, welding speed of 80mm/min and tool offset at 0mm.</description><identifier>ISSN: 0263-2241</identifier><identifier>EISSN: 1873-412X</identifier><identifier>DOI: 10.1016/j.measurement.2017.05.023</identifier><language>eng</language><publisher>London: Elsevier Ltd</publisher><subject>Aluminium ; Aluminum alloys ; Aluminum base alloys ; Decision analysis ; Decision making ; Decision making models ; Design of experiments ; Friction stir welding ; Grey relational analysis ; Impact strength ; Multi criteria decision making ; Multiple criterion ; Process parameters ; Rotation ; Studies ; Tensile strength ; TOPSIS ; Ultimate tensile strength ; Welded joints ; Welding ; Welding parameters</subject><ispartof>Measurement : journal of the International Measurement Confederation, 2017-10, Vol.108, p.1-8</ispartof><rights>2017 Elsevier Ltd</rights><rights>Copyright Elsevier Science Ltd. Oct 2017</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c349t-975f5912c3d3615c670f5c603e6ecb441d3afdabbbb52af15d76f0f763a2bae33</citedby><cites>FETCH-LOGICAL-c349t-975f5912c3d3615c670f5c603e6ecb441d3afdabbbb52af15d76f0f763a2bae33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0263224117302993$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Sudhagar, S.</creatorcontrib><creatorcontrib>Sakthivel, M.</creatorcontrib><creatorcontrib>Mathew, Prince J.</creatorcontrib><creatorcontrib>Daniel, S. Ajith Arul</creatorcontrib><title>A multi criteria decision making approach for process improvement in friction stir welding of aluminium alloy</title><title>Measurement : journal of the International Measurement Confederation</title><description>•Multi criteria optimization of FSW parameter through GRA and TOPSIS.•The input parameters are rotational speed, welding speed and tool offset.•The output responses measured are tensile strength, hardness and impact toughness.•Higher rotational speed, lower welding speed and zero offset yields better result.•Comparison between GRA and TOPSIS has been done.
This work is an attempt to select the optimum process parameters for friction stir welding of aluminium 2024 alloy based on multiple criteria decision making approach. The friction stir welding experiments have been conducted according to L9 orthogonal array with preferred input parameters are tool rotational speed, welding speed and tool offset. The response parameters measured are ultimate tensile strength, impact toughness and hardness of welded joint that determines quality of joint. The multi criteria decision making techniques namely Grey Relational Analysis and Technique for Order Preference by Similarity to Ideal Solution are used to find the optimum process parameter which provides maximum value of all responses. Same result is obtained through both techniques and the optimum conditions are tool rotational speed of 1000rpm, welding speed of 80mm/min and tool offset at 0mm.</description><subject>Aluminium</subject><subject>Aluminum alloys</subject><subject>Aluminum base alloys</subject><subject>Decision analysis</subject><subject>Decision making</subject><subject>Decision making models</subject><subject>Design of experiments</subject><subject>Friction stir welding</subject><subject>Grey relational analysis</subject><subject>Impact strength</subject><subject>Multi criteria decision making</subject><subject>Multiple criterion</subject><subject>Process parameters</subject><subject>Rotation</subject><subject>Studies</subject><subject>Tensile strength</subject><subject>TOPSIS</subject><subject>Ultimate tensile strength</subject><subject>Welded joints</subject><subject>Welding</subject><subject>Welding parameters</subject><issn>0263-2241</issn><issn>1873-412X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNqNUMFu2zAMFYoWWNr1HzTsbI-SLDk-FsG2DijQywbsJigy1TG17EyyM-Tvqyw99FgeyHd4j498jH0SUAsQ5suujujykjDiONcSRFuDrkGqC7YS61ZVjZC_L9kKpFGVlI34wK5z3gGAUZ1ZsXjH4zLMxH2iGRM53qOnTNPIo3um8Ym7_T5Nzv_hYUq8QI85c4oFHf6bchp5SOTnkybPlPg_HPqTcgrcDUukkZZY0DAdP7Kr4IaMt6_zhv369vXn5r56ePz-Y3P3UHnVdHPVtTroTkivemWE9qaFUDooNOi3TSN65ULvtqW0dEHovjUBQmuUk1uHSt2wz-e95cq_C-bZ7qYljcXSStBaQgtrWVjdmeXTlHPCYPeJoktHK8Ce0rU7-yZde0rXgrYl3aLdnLVY3jgQJps94eixp4R-tv1E79jyAnb7jGU</recordid><startdate>201710</startdate><enddate>201710</enddate><creator>Sudhagar, S.</creator><creator>Sakthivel, M.</creator><creator>Mathew, Prince J.</creator><creator>Daniel, S. Ajith Arul</creator><general>Elsevier Ltd</general><general>Elsevier Science Ltd</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>201710</creationdate><title>A multi criteria decision making approach for process improvement in friction stir welding of aluminium alloy</title><author>Sudhagar, S. ; Sakthivel, M. ; Mathew, Prince J. ; Daniel, S. Ajith Arul</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c349t-975f5912c3d3615c670f5c603e6ecb441d3afdabbbb52af15d76f0f763a2bae33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Aluminium</topic><topic>Aluminum alloys</topic><topic>Aluminum base alloys</topic><topic>Decision analysis</topic><topic>Decision making</topic><topic>Decision making models</topic><topic>Design of experiments</topic><topic>Friction stir welding</topic><topic>Grey relational analysis</topic><topic>Impact strength</topic><topic>Multi criteria decision making</topic><topic>Multiple criterion</topic><topic>Process parameters</topic><topic>Rotation</topic><topic>Studies</topic><topic>Tensile strength</topic><topic>TOPSIS</topic><topic>Ultimate tensile strength</topic><topic>Welded joints</topic><topic>Welding</topic><topic>Welding parameters</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sudhagar, S.</creatorcontrib><creatorcontrib>Sakthivel, M.</creatorcontrib><creatorcontrib>Mathew, Prince J.</creatorcontrib><creatorcontrib>Daniel, S. Ajith Arul</creatorcontrib><collection>CrossRef</collection><jtitle>Measurement : journal of the International Measurement Confederation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sudhagar, S.</au><au>Sakthivel, M.</au><au>Mathew, Prince J.</au><au>Daniel, S. Ajith Arul</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A multi criteria decision making approach for process improvement in friction stir welding of aluminium alloy</atitle><jtitle>Measurement : journal of the International Measurement Confederation</jtitle><date>2017-10</date><risdate>2017</risdate><volume>108</volume><spage>1</spage><epage>8</epage><pages>1-8</pages><issn>0263-2241</issn><eissn>1873-412X</eissn><abstract>•Multi criteria optimization of FSW parameter through GRA and TOPSIS.•The input parameters are rotational speed, welding speed and tool offset.•The output responses measured are tensile strength, hardness and impact toughness.•Higher rotational speed, lower welding speed and zero offset yields better result.•Comparison between GRA and TOPSIS has been done.
This work is an attempt to select the optimum process parameters for friction stir welding of aluminium 2024 alloy based on multiple criteria decision making approach. The friction stir welding experiments have been conducted according to L9 orthogonal array with preferred input parameters are tool rotational speed, welding speed and tool offset. The response parameters measured are ultimate tensile strength, impact toughness and hardness of welded joint that determines quality of joint. The multi criteria decision making techniques namely Grey Relational Analysis and Technique for Order Preference by Similarity to Ideal Solution are used to find the optimum process parameter which provides maximum value of all responses. Same result is obtained through both techniques and the optimum conditions are tool rotational speed of 1000rpm, welding speed of 80mm/min and tool offset at 0mm.</abstract><cop>London</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.measurement.2017.05.023</doi><tpages>8</tpages></addata></record> |
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| ispartof | Measurement : journal of the International Measurement Confederation, 2017-10, Vol.108, p.1-8 |
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| language | eng |
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| source | Elsevier ScienceDirect Journals Complete |
| subjects | Aluminium Aluminum alloys Aluminum base alloys Decision analysis Decision making Decision making models Design of experiments Friction stir welding Grey relational analysis Impact strength Multi criteria decision making Multiple criterion Process parameters Rotation Studies Tensile strength TOPSIS Ultimate tensile strength Welded joints Welding Welding parameters |
| title | A multi criteria decision making approach for process improvement in friction stir welding of aluminium alloy |
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