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International Journal on Interactive Design and Manufacturing (IJIDeM)

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01-08-2023 | Original Paper

Optimization of process parameters for autogenous TIG welding of austenitic stainless-steel SS-304

Authors: Anand Baghel, Chaitanya Sharma, Vikas Upadhyay, Rajat singh

Published in: International Journal on Interactive Design and Manufacturing (IJIDeM) | Issue 9/2024

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Abstract

This work presents the effect of process parameters viz., current, speed, gas flow rate, and arc gap on characteristics of austenitic stainless steel SS304 bead-on plate welds and determines the optimal combination of parameters. Experiments were conducted as per Taguchi L9 orthogonal array and the effect of process parameters on weld bead profile, penetration depth, bead width, microstructure, and hardness were analysed. An optimum value was obtained for each process parameter to maximize penetration depth and hardness and minimize the bead width and HAZ. It was found that heat input per unit weld length is crucial in controlling the weld characteristics. Stronger inward flow patterns were responsible for beads with a narrower width and deeper penetration because of higher heat input however, excessive heat input was detrimental and produced wider beads and HAZ. Current and speed were most dominant in deciding weld characteristics than gas flow rate and arc gap. Predicted results are in close agreement with the confirmation experiments.

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Title: Optimization of process parameters for autogenous TIG welding of austenitic stainless-steel SS-304
Authors: Anand Baghel
Chaitanya Sharma
Vikas Upadhyay
Rajat singh
Publication date: 01-08-2023
Publisher: Springer Paris
Published in: International Journal on Interactive Design and Manufacturing (IJIDeM) / Issue 9/2024
Print ISSN: 1955-2513
Electronic ISSN: 1955-2505
DOI: https://doi.org/10.1007/s12008-023-01455-w

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Optimization of process parameters for autogenous TIG welding of austenitic stainless-steel SS-304

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Other articles of this Issue 9/2024

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Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Artifical intelligence inspired approach to numerically investigate chip morphology in machining AISI630

Multiscale RVE modeling for assessing effective elastic modulus of HDPE based polymer matrix nanocomposite reinforced with nanodiamond

Modeling and optimization of bead geometry and hardness of bead on plate TIG welds of Stainless Steel SS202

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Optimisation of the swinging jaw design for a single toggle jaw crusher using finite element analysis

Newly applied practices to alleviate design uncertainty: a case study of a design scheme based on the DEMATEL–ANP–VIKOR theory