MIG welding process parameter optimisation of AISI 1026 steel using Taguchi-TOPSIS method
The weld joint quality is greatly influenced by the welding parameters. The right welding parameters must be used in order to get a weld of high quality. In this study, the Taguchi-based TOPSIS method is used to optimize the welding parameters for MIG welding on AISI 1026 mild steel. Welding current...
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Veröffentlicht in: | International journal on interactive design and manufacturing 2024-04, Vol.18 (3), p.1345-1357 |
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creator | Sharma, Swati Anitha, D. Chaturvedi, Vedansh Vimal, Jyoti Jayaswal, Pratesh Saxena, Kuldeep K. Aherwar, Amit Pathak, Vimal Kumar Abdullaev, Sherzod Shukhratovich |
description | The weld joint quality is greatly influenced by the welding parameters. The right welding parameters must be used in order to get a weld of high quality. In this study, the Taguchi-based TOPSIS method is used to optimize the welding parameters for MIG welding on AISI 1026 mild steel. Welding current, voltage, and wire feed rate are taken as input factors. For the design of experiments, Taguchi's L9 orthogonal array is applied and the MIG welding is carried out on mild steel. The experiments were done to test the hardness and strength of the joints. The specimen gets assigned by TOPSIS based on its performance score. As per the TOPSIS results, specimen 9 has the highest performance score and ranked 1 with process parameters of current, voltage and wire feed rate as 100 amps, 20 V and 2.5 m/min respectively. The analysis of variance (ANOVA) method is used to find the most significant parameter. The optimum parameters for MIG welded butt joint were found as 100 Amp, 20 V and 3 m/min. ANOVA results indicate that current is the most statistically significant factor with a percentage contribution of 68.2% followed by voltage and wire feed rate with 9.15% and 8.95% respectively. With the use of a regression equation, a mathematical model has been developed between the S/N ratio of performance score and process parameters. In order to validate the results, a confirmatory experiment with analysis-optimized parameters has also been carried out. Confirmation results are showing good agreement with the applied approach. |
doi_str_mv | 10.1007/s12008-023-01528-w |
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The right welding parameters must be used in order to get a weld of high quality. In this study, the Taguchi-based TOPSIS method is used to optimize the welding parameters for MIG welding on AISI 1026 mild steel. Welding current, voltage, and wire feed rate are taken as input factors. For the design of experiments, Taguchi's L9 orthogonal array is applied and the MIG welding is carried out on mild steel. The experiments were done to test the hardness and strength of the joints. The specimen gets assigned by TOPSIS based on its performance score. As per the TOPSIS results, specimen 9 has the highest performance score and ranked 1 with process parameters of current, voltage and wire feed rate as 100 amps, 20 V and 2.5 m/min respectively. The analysis of variance (ANOVA) method is used to find the most significant parameter. The optimum parameters for MIG welded butt joint were found as 100 Amp, 20 V and 3 m/min. ANOVA results indicate that current is the most statistically significant factor with a percentage contribution of 68.2% followed by voltage and wire feed rate with 9.15% and 8.95% respectively. With the use of a regression equation, a mathematical model has been developed between the S/N ratio of performance score and process parameters. In order to validate the results, a confirmatory experiment with analysis-optimized parameters has also been carried out. Confirmation results are showing good agreement with the applied approach.</description><identifier>ISSN: 1955-2513</identifier><identifier>EISSN: 1955-2505</identifier><identifier>DOI: 10.1007/s12008-023-01528-w</identifier><language>eng</language><publisher>Paris: Springer Paris</publisher><subject>Butt joints ; CAE) and Design ; Computer-Aided Engineering (CAD ; Design factors ; Design of experiments ; Electric potential ; Electronics and Microelectronics ; Engineering ; Engineering Design ; Feed rate ; Friction welding ; Gas flow ; Gas metal arc welding ; Gases ; Industrial Design ; Instrumentation ; Low carbon steels ; Mechanical Engineering ; Metals ; Optimization ; Original Paper ; Orthogonal arrays ; Process parameters ; Regression models ; Signal to noise ratio ; Taguchi methods ; Tensile strength ; Titanium alloys ; Variance analysis ; Voltage ; Welded joints ; Welding current ; Welding parameters ; Wire ; Yield stress</subject><ispartof>International journal on interactive design and manufacturing, 2024-04, Vol.18 (3), p.1345-1357</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag France SAS, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c347t-80d1fb418da482e9349b602ce2fd52914168e4cfbbed4404148db6864eb7fef93</citedby><cites>FETCH-LOGICAL-c347t-80d1fb418da482e9349b602ce2fd52914168e4cfbbed4404148db6864eb7fef93</cites><orcidid>0000-0003-3542-6530</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12008-023-01528-w$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12008-023-01528-w$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Sharma, Swati</creatorcontrib><creatorcontrib>Anitha, D.</creatorcontrib><creatorcontrib>Chaturvedi, Vedansh</creatorcontrib><creatorcontrib>Vimal, Jyoti</creatorcontrib><creatorcontrib>Jayaswal, Pratesh</creatorcontrib><creatorcontrib>Saxena, Kuldeep K.</creatorcontrib><creatorcontrib>Aherwar, Amit</creatorcontrib><creatorcontrib>Pathak, Vimal Kumar</creatorcontrib><creatorcontrib>Abdullaev, Sherzod Shukhratovich</creatorcontrib><title>MIG welding process parameter optimisation of AISI 1026 steel using Taguchi-TOPSIS method</title><title>International journal on interactive design and manufacturing</title><addtitle>Int J Interact Des Manuf</addtitle><description>The weld joint quality is greatly influenced by the welding parameters. The right welding parameters must be used in order to get a weld of high quality. In this study, the Taguchi-based TOPSIS method is used to optimize the welding parameters for MIG welding on AISI 1026 mild steel. Welding current, voltage, and wire feed rate are taken as input factors. For the design of experiments, Taguchi's L9 orthogonal array is applied and the MIG welding is carried out on mild steel. The experiments were done to test the hardness and strength of the joints. The specimen gets assigned by TOPSIS based on its performance score. As per the TOPSIS results, specimen 9 has the highest performance score and ranked 1 with process parameters of current, voltage and wire feed rate as 100 amps, 20 V and 2.5 m/min respectively. The analysis of variance (ANOVA) method is used to find the most significant parameter. The optimum parameters for MIG welded butt joint were found as 100 Amp, 20 V and 3 m/min. ANOVA results indicate that current is the most statistically significant factor with a percentage contribution of 68.2% followed by voltage and wire feed rate with 9.15% and 8.95% respectively. With the use of a regression equation, a mathematical model has been developed between the S/N ratio of performance score and process parameters. In order to validate the results, a confirmatory experiment with analysis-optimized parameters has also been carried out. Confirmation results are showing good agreement with the applied approach.</description><subject>Butt joints</subject><subject>CAE) and Design</subject><subject>Computer-Aided Engineering (CAD</subject><subject>Design factors</subject><subject>Design of experiments</subject><subject>Electric potential</subject><subject>Electronics and Microelectronics</subject><subject>Engineering</subject><subject>Engineering Design</subject><subject>Feed rate</subject><subject>Friction welding</subject><subject>Gas flow</subject><subject>Gas metal arc welding</subject><subject>Gases</subject><subject>Industrial Design</subject><subject>Instrumentation</subject><subject>Low carbon steels</subject><subject>Mechanical Engineering</subject><subject>Metals</subject><subject>Optimization</subject><subject>Original Paper</subject><subject>Orthogonal arrays</subject><subject>Process parameters</subject><subject>Regression models</subject><subject>Signal to noise ratio</subject><subject>Taguchi methods</subject><subject>Tensile strength</subject><subject>Titanium alloys</subject><subject>Variance analysis</subject><subject>Voltage</subject><subject>Welded joints</subject><subject>Welding current</subject><subject>Welding parameters</subject><subject>Wire</subject><subject>Yield stress</subject><issn>1955-2513</issn><issn>1955-2505</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNqFkMlOwzAQhi0EEqXwApwscQ6MlzjOsapYIhUVqeXAycoyblO1SbETVbw9LkFwg9PM4f9m-Qi5ZnDLAJI7zziAjoCLCFjMdXQ4ISOWxnHEY4hPf3omzsmF9xsApUHDiLw9Z4_0gNuqblZ079oSvaf73OU77NDRdt_Vu9rnXd02tLV0ki0yyoAr6jvELe39kVvmq75c19Fy_rLIFjSg67a6JGc233q8-q5j8vpwv5w-RbP5YzadzKJSyKSLNFTMFpLpKpeaYypkWijgJXJbxTxlkimNsrRFgZWUIJnUVaG0klgkFm0qxuRmmBuuf-_Rd2bT9q4JK40AqRIBSXj7nxSLU6F4SPEhVbrWe4fW7F29y92HYWCOos0g2gTR5ku0OQRIDJAP4WaF7nf0H9Qnc8B-8w</recordid><startdate>20240401</startdate><enddate>20240401</enddate><creator>Sharma, Swati</creator><creator>Anitha, D.</creator><creator>Chaturvedi, Vedansh</creator><creator>Vimal, Jyoti</creator><creator>Jayaswal, Pratesh</creator><creator>Saxena, Kuldeep K.</creator><creator>Aherwar, Amit</creator><creator>Pathak, Vimal Kumar</creator><creator>Abdullaev, Sherzod Shukhratovich</creator><general>Springer Paris</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0003-3542-6530</orcidid></search><sort><creationdate>20240401</creationdate><title>MIG welding process parameter optimisation of AISI 1026 steel using Taguchi-TOPSIS method</title><author>Sharma, Swati ; Anitha, D. ; Chaturvedi, Vedansh ; Vimal, Jyoti ; Jayaswal, Pratesh ; Saxena, Kuldeep K. ; Aherwar, Amit ; Pathak, Vimal Kumar ; Abdullaev, Sherzod Shukhratovich</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c347t-80d1fb418da482e9349b602ce2fd52914168e4cfbbed4404148db6864eb7fef93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Butt joints</topic><topic>CAE) and Design</topic><topic>Computer-Aided Engineering (CAD</topic><topic>Design factors</topic><topic>Design of experiments</topic><topic>Electric potential</topic><topic>Electronics and Microelectronics</topic><topic>Engineering</topic><topic>Engineering Design</topic><topic>Feed rate</topic><topic>Friction welding</topic><topic>Gas flow</topic><topic>Gas metal arc welding</topic><topic>Gases</topic><topic>Industrial Design</topic><topic>Instrumentation</topic><topic>Low carbon steels</topic><topic>Mechanical Engineering</topic><topic>Metals</topic><topic>Optimization</topic><topic>Original Paper</topic><topic>Orthogonal arrays</topic><topic>Process parameters</topic><topic>Regression models</topic><topic>Signal to noise ratio</topic><topic>Taguchi methods</topic><topic>Tensile strength</topic><topic>Titanium alloys</topic><topic>Variance analysis</topic><topic>Voltage</topic><topic>Welded joints</topic><topic>Welding current</topic><topic>Welding parameters</topic><topic>Wire</topic><topic>Yield stress</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sharma, Swati</creatorcontrib><creatorcontrib>Anitha, D.</creatorcontrib><creatorcontrib>Chaturvedi, Vedansh</creatorcontrib><creatorcontrib>Vimal, Jyoti</creatorcontrib><creatorcontrib>Jayaswal, Pratesh</creatorcontrib><creatorcontrib>Saxena, Kuldeep K.</creatorcontrib><creatorcontrib>Aherwar, Amit</creatorcontrib><creatorcontrib>Pathak, Vimal Kumar</creatorcontrib><creatorcontrib>Abdullaev, Sherzod Shukhratovich</creatorcontrib><collection>CrossRef</collection><jtitle>International journal on interactive design and manufacturing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sharma, Swati</au><au>Anitha, D.</au><au>Chaturvedi, Vedansh</au><au>Vimal, Jyoti</au><au>Jayaswal, Pratesh</au><au>Saxena, Kuldeep K.</au><au>Aherwar, Amit</au><au>Pathak, Vimal Kumar</au><au>Abdullaev, Sherzod Shukhratovich</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>MIG welding process parameter optimisation of AISI 1026 steel using Taguchi-TOPSIS method</atitle><jtitle>International journal on interactive design and manufacturing</jtitle><stitle>Int J Interact Des Manuf</stitle><date>2024-04-01</date><risdate>2024</risdate><volume>18</volume><issue>3</issue><spage>1345</spage><epage>1357</epage><pages>1345-1357</pages><issn>1955-2513</issn><eissn>1955-2505</eissn><abstract>The weld joint quality is greatly influenced by the welding parameters. The right welding parameters must be used in order to get a weld of high quality. In this study, the Taguchi-based TOPSIS method is used to optimize the welding parameters for MIG welding on AISI 1026 mild steel. Welding current, voltage, and wire feed rate are taken as input factors. For the design of experiments, Taguchi's L9 orthogonal array is applied and the MIG welding is carried out on mild steel. The experiments were done to test the hardness and strength of the joints. The specimen gets assigned by TOPSIS based on its performance score. As per the TOPSIS results, specimen 9 has the highest performance score and ranked 1 with process parameters of current, voltage and wire feed rate as 100 amps, 20 V and 2.5 m/min respectively. The analysis of variance (ANOVA) method is used to find the most significant parameter. The optimum parameters for MIG welded butt joint were found as 100 Amp, 20 V and 3 m/min. ANOVA results indicate that current is the most statistically significant factor with a percentage contribution of 68.2% followed by voltage and wire feed rate with 9.15% and 8.95% respectively. With the use of a regression equation, a mathematical model has been developed between the S/N ratio of performance score and process parameters. In order to validate the results, a confirmatory experiment with analysis-optimized parameters has also been carried out. Confirmation results are showing good agreement with the applied approach.</abstract><cop>Paris</cop><pub>Springer Paris</pub><doi>10.1007/s12008-023-01528-w</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0003-3542-6530</orcidid></addata></record> |
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subjects | Butt joints CAE) and Design Computer-Aided Engineering (CAD Design factors Design of experiments Electric potential Electronics and Microelectronics Engineering Engineering Design Feed rate Friction welding Gas flow Gas metal arc welding Gases Industrial Design Instrumentation Low carbon steels Mechanical Engineering Metals Optimization Original Paper Orthogonal arrays Process parameters Regression models Signal to noise ratio Taguchi methods Tensile strength Titanium alloys Variance analysis Voltage Welded joints Welding current Welding parameters Wire Yield stress |
title | MIG welding process parameter optimisation of AISI 1026 steel using Taguchi-TOPSIS method |
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