Statistical modelling and optimization of TIG welding process parameters using Taguchi’s method

S. Omprakasam (Author), Kathiresan Marimuthu (Author), R. Raghu (Author), T. Velmurugan (Author)

Abstract

This current research focuses on optimizing the welding process parameters and penetration of 5052 alloys using a TIG welding process based on the Taguchi methods. Process parameters such as current, voltage, and speed with three different levels were taken to form the L27 orthogonal array using the design of experiments. Analysis of variance, signal-to-noise ratio analysis, and regression analysis were performed. The regression analysis indicated that the developed model has greater adequacy in predicting the reinforcement form factor (RFF), penetration shape factor (PSF) and hardness of the weld specimens. In addition, the optimized parametric condition for the welded specimen was found to be current, voltage, and speed of 140 A, 18 V, and 300 mm/min, respectively.

Keywords

TIG welding;aluminium;5052 alloys;hardness;reinforcement form factor;penetration shape factor;Taguchi methods;

Data

Language:	English
Year of publishing:	2022
Typology:	1.01 - Original Scientific Article
Organization:	UL FS - Faculty of Mechanical Engineering
UDC:	621.791
COBISS:	105891331
ISSN:	0039-2480
Views:	92
Downloads:	45
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	Slovenian
Secondary title:	Statistično modeliranje in optimizacija parametrov varjenja po postopku TIG z metodo Taguchi
Secondary keywords:	TIG varjenje;aluminij;zlitina AA5052;trdota;metoda Taguchi;faktor oblike ojačitve;faktor oblike prevaritve;
Type (COBISS):	Article
Pages:	str. 200-209
Volume:	ǂVol. ǂ68
Issue:	ǂno. ǂ3
Chronology:	Mar. 2022
DOI:	10.5545/sv-jme.2021.7414
ID:	15163251