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Optimization of GMAW process parameters for dissimilar welding of SS202 and SS304.

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Title: Optimization of GMAW process parameters for dissimilar welding of SS202 and SS304.
Authors: Kumar, Sujeet1 (AUTHOR) sujeet731@gmail.com, Kumar, P. S. Satheesh2 (AUTHOR) pssatheesh@yahoo.com, Sri, Movva Naga Swapna3 (AUTHOR) mswapnasri@pvpsiddhartha.ac.in, Rajulapati, Amaleswari4 (AUTHOR) rajulapatiamaleswari2025@gmail.com, Reddy, M. Nomitha5 (AUTHOR) nomithareddym@gmail.com, Gupta, Deepak6 (AUTHOR) deepakgupta8@gmail.com
Source: Interactions (30050731). 3/28/2026, Vol. 247 Issue 1, p1-13. 13p.
Subjects: Gas metal arc welding, Dissimilar welding, Mathematical optimization, Stainless steel, Grey relational analysis, Mechanical behavior of materials, Taguchi methods
Abstract: The welding by Gas Metal Arc Welding (GMAW) of dissimilar stainless steels SS202 and SS304 is now very useful in making things that need to hold a strong structure, and to resist corrosion. The SS202 and SS304 have different chemical compositions and conduct heat at different rates, it's hard to get the best possible mechanical qualities in the area where they're welded together. This work was done to make the best of GMAW parameters welding current (from 140 to 200 A), arc voltage (from 18 to 26 V), and welding speed (from 3 to 7 mm/s) in order to raise the tensile and bend strength, and the micro hardness of the joined, different metals. A Taguchi L9 set of tests arranged in a specific way, was used to plan the tests, and Grey Relational Analysis was the method used to make the best of several responses at once. The best parameters turned out to be 200 A welding current, 22 V arc voltage, and 3 mm/s welding speed. Under these ideal conditions, the welded joint showed the greatest tensile strength of 612 MPa, a bending strength of 1.92 kN, and a microhardness of 248 HV in the weld area. It is found that welding current has the greatest effect on overall weld quality at 46.3% followed by welding speed which had a 39.7% and arc voltage which had 17.5%. [ABSTRACT FROM AUTHOR]
Copyright of Interactions (30050731) is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Optimization of GMAW process parameters for dissimilar welding of SS202 and SS304.
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  Data: <searchLink fieldCode="AR" term="%22Kumar%2C+Sujeet%22">Kumar, Sujeet</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> sujeet731@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Kumar%2C+P%2E+S%2E+Satheesh%22">Kumar, P. S. Satheesh</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> pssatheesh@yahoo.com</i><br /><searchLink fieldCode="AR" term="%22Sri%2C+Movva+Naga+Swapna%22">Sri, Movva Naga Swapna</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> mswapnasri@pvpsiddhartha.ac.in</i><br /><searchLink fieldCode="AR" term="%22Rajulapati%2C+Amaleswari%22">Rajulapati, Amaleswari</searchLink><relatesTo>4</relatesTo> (AUTHOR)<i> rajulapatiamaleswari2025@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Reddy%2C+M%2E+Nomitha%22">Reddy, M. Nomitha</searchLink><relatesTo>5</relatesTo> (AUTHOR)<i> nomithareddym@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Gupta%2C+Deepak%22">Gupta, Deepak</searchLink><relatesTo>6</relatesTo> (AUTHOR)<i> deepakgupta8@gmail.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Interactions+%2830050731%29%22">Interactions (30050731)</searchLink>. 3/28/2026, Vol. 247 Issue 1, p1-13. 13p.
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  Data: <searchLink fieldCode="DE" term="%22Gas+metal+arc+welding%22">Gas metal arc welding</searchLink><br /><searchLink fieldCode="DE" term="%22Dissimilar+welding%22">Dissimilar welding</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Stainless+steel%22">Stainless steel</searchLink><br /><searchLink fieldCode="DE" term="%22Grey+relational+analysis%22">Grey relational analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Mechanical+behavior+of+materials%22">Mechanical behavior of materials</searchLink><br /><searchLink fieldCode="DE" term="%22Taguchi+methods%22">Taguchi methods</searchLink>
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  Data: The welding by Gas Metal Arc Welding (GMAW) of dissimilar stainless steels SS202 and SS304 is now very useful in making things that need to hold a strong structure, and to resist corrosion. The SS202 and SS304 have different chemical compositions and conduct heat at different rates, it's hard to get the best possible mechanical qualities in the area where they're welded together. This work was done to make the best of GMAW parameters welding current (from 140 to 200 A), arc voltage (from 18 to 26 V), and welding speed (from 3 to 7 mm/s) in order to raise the tensile and bend strength, and the micro hardness of the joined, different metals. A Taguchi L9 set of tests arranged in a specific way, was used to plan the tests, and Grey Relational Analysis was the method used to make the best of several responses at once. The best parameters turned out to be 200 A welding current, 22 V arc voltage, and 3 mm/s welding speed. Under these ideal conditions, the welded joint showed the greatest tensile strength of 612 MPa, a bending strength of 1.92 kN, and a microhardness of 248 HV in the weld area. It is found that welding current has the greatest effect on overall weld quality at 46.3% followed by welding speed which had a 39.7% and arc voltage which had 17.5%. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Interactions (30050731) is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s10751-026-02432-x
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        Text: English
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      – SubjectFull: Gas metal arc welding
        Type: general
      – SubjectFull: Dissimilar welding
        Type: general
      – SubjectFull: Mathematical optimization
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      – SubjectFull: Stainless steel
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      – SubjectFull: Grey relational analysis
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      – SubjectFull: Mechanical behavior of materials
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      – SubjectFull: Taguchi methods
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              Text: 3/28/2026
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