A hybrid methodology for optimizing MIG welding process parametersin joining of dissimilar metals

Mohammad Saif, Sumita Chaturvedi
Page No: 59-72
Download PDFAbstract:
In this paper application of Taguchi and Grey relational analysis methodologies in determining optimal process parameters for MIG Welding are presented. Taguchi method is widely used in designing the optimal experiments, while grey relation analysis is useful in decision making when multiple criteria’s are considered, this combination serves as an effective tool in determining the optimal parameters of the pro- cess. In the present work welding current, voltage, speed, bevel angle were considered as input parameters in joining two dissimilar metals (AISI1044 & AISI1018), as these influence the output characteristics like tensile strength and hardness, these parameters need to be optimized. Selection and peer-review under responsibility of the scientific committee of the International Conference on Recent Advances in Materials, Manufacturing & Energy Systems.

Citations

APA: Mohammad Saif, Sumita Chaturvedi (2025). A hybrid methodology for optimizing MIG welding process parametersin joining of dissimilar metals. DOI: DOI:10.86493/OTJ.2534806

AMA: Mohammad Saif, Sumita Chaturvedi. A hybrid methodology for optimizing MIG welding process parametersin joining of dissimilar metals. 2025. DOI: DOI:10.86493/OTJ.2534806

Chicago: Mohammad Saif, Sumita Chaturvedi. "A hybrid methodology for optimizing MIG welding process parametersin joining of dissimilar metals." Published 2025. DOI: DOI:10.86493/OTJ.2534806

IEEE: Mohammad Saif, Sumita Chaturvedi, "A hybrid methodology for optimizing MIG welding process parametersin joining of dissimilar metals," 2025, DOI: DOI:10.86493/OTJ.2534806

ISNAD: Mohammad Saif, Sumita Chaturvedi. "A hybrid methodology for optimizing MIG welding process parametersin joining of dissimilar metals." DOI: DOI:10.86493/OTJ.2534806

MLA: Mohammad Saif, Sumita Chaturvedi. "A hybrid methodology for optimizing MIG welding process parametersin joining of dissimilar metals." 2025, DOI: DOI:10.86493/OTJ.2534806