A STUDY ON MULTI-OBJECTIVE OPTIMIZATION OF PULSED TIG WELDING PARAMETERS AND THEIR EFFECT ON JOINT PROPERTIES OF HIGH MANGANESE STEELS USING TAGUCHI-BASED GRA APPROACH

A. Sahoo, S. Tripathy and D.â K. Tripathy
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A. Sahoo: Department of Mechanical Engineering, Institute of Technical Education and Research, Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India
S. Tripathy: Department of Mechanical Engineering, Institute of Technical Education and Research, Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India
D.â K. Tripathy: ��Ex-Professor Emeritus, IIT Kharagpur, West Bengal, India

Surface Review and Letters (SRL), 2024, vol. 31, issue 11, 1-13

Abstract: This investigation focuses on the study of the effect of process parameters like peak current (Ip), base current (Ib), pulse frequency (F), shielding gas flow rate (Q) on mechanical properties like yield strength (YS), ultimate tensile strength (UTS) and flexural strength (FS) of the welded joints during pulsed TIG welding of SAILMA 450 and EN14 B steels. Taguchi’s L25 orthogonal array has been used for conducting the tests. Multi-objective optimization has been performed using Grey relational analysis (GRA) in order to maximize the mechanical strength and to find out the optimal set of parameters. The optimum parametric combination is obtained at a peak current of 220Amps, base current of 120Amps, pulse frequency of 5Hz and shielding gas flow rate of 17l/min. Analysis of variance (ANOVA) is used to predict the significant process parameters. It has been observed from the ANOVA analysis that peak current and pulse frequency have more influence on the output responses than the shielding gas flow rate and base current. The results of the confirmatory test show an improvement of 0.5801 in the GRG, which is satisfactory. A microstructure study has been performed using scanning electron microscopy (SEM) for the optimal set of process parameters.

Keywords: Pulse TIG; SAILMA 450; EN14 B; Taguchi; GRA; SEM (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1142/S0218625X24500859

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