Optimization of MIG welding parameters

Authors

  • Noor Hameed Majeed Mechanical Engineering Department ,College of Engineering, University of Thi-Qar ,Thi-Qar, Iraq
  • Hazim Esmaeel Radhi Mechanical Engineering Department ,College of Engineering, University of Thi-Qar ,Thi-Qar, Iraq
  • Hadier J. Abid Mechanical Engineering Department ,College of Engineering, University of Thi-Qar ,Thi-Qar, Iraq

DOI:

https://doi.org/10.31663/tqujes.11.2.382(2021)

Keywords:

MIG welding,, Taguchi method, Evolutionary Algorithms, TS,, AISI 1040.

Abstract

Welding is a technique used for joining metal parts usually during the application of heat. There are many types of welding, including an electric arc welding this means that welding is a process in which the electric arc forms a metal work piece and an electrode, which leads to this work to heat the metals and cause them to melt, and connect them with an inert metallic gas (MIG). This study clarifies the conclusion of welding parameters such as travel speed, current and wire feeding speed to medium carbon steel through Welding. Get the greatest parameters as it gives nature to alteration of the strength and the quality of product and its impact on tensile strength, and hardness at studies the conduct of AISI 1040 steel by using the Taguchi method in this experimental procedure and analysis of variance in Minitab software and Optimization method (OptiY program / Evolutionary Algorithms). It was found that the increase in current leads to an increase in the amount of tensile strength(TS) and hardness of the material. Also, decreasing the welding speed during the welding process leads to an increase in the tensile strength and hardness of the welding area. While, the effect of the input welding wire feed values ??on the welding region, specifications are largely dependent on the welding current and welding speed values chosen

 

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Published

2021-07-11 — Updated on 2021-12-01

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How to Cite

Optimization of MIG welding parameters. (2021). University of Thi-Qar Journal for Engineering Sciences, 11(2), 1-7. https://doi.org/10.31663/tqujes.11.2.382(2021) (Original work published 2022)

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