eprintid: 16103
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/61/03
datestamp: 2023-12-19 03:22:40
lastmod: 2023-12-19 03:22:40
status_changed: 2023-12-19 03:05:39
type: article
metadata_visibility: show
creators_name: Soomro, I.A.
creators_name: Pedapati, S.R.
creators_name: Awang, M.
creators_name: Soomro, A.A.
creators_name: Alam, M.A.
creators_name: Bhayo, B.A.
title: Optimization and Modelling of Resistance Spot Welding Process Parameters for Quality Improvement Using Taguchi Method and Artificial Neural Network
ispublished: pub
note: cited By 0
abstract: This paper investigated the optimization, modeling, and effect of welding parameters on the tensile shear load-bearing capacity of double pulse resistance spot-welded DP590 steel. Optimization of welding parameters was performed using the Taguchi design of experiment method. A relationship between input welding parameters i.e., second pulse welding current, second pulse welding current time, and first pulse holding time and output response i.e, tensile shear peak load was established using regression and neural network. Results showed that the maximum average tensile shear peak load of 26.47 was achieved at optimum welding parameters i.e., second pulse welding current of 7.5 kA, second pulse welding time of 560 ms, and first pulse holding time of 400 ms. It was also found that the ANN model predicted the tensile shear load with higher accuracy than the regression model. © 2022, Iran University of Science and Technology. All rights reserved.
date: 2022
publisher: Iran University of Science and Technology
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144139703&doi=10.22068%2fijmse.2709&partnerID=40&md5=aa407d0363324fd43f4fa816ad00d9ab
id_number: 10.22068/ijmse.2709
full_text_status: none
publication: Iranian Journal of Materials Science and Engineering
volume: 19
number: 4
pagerange: 1-10
refereed: TRUE
issn: 17350808
citation:   Soomro, I.A. and Pedapati, S.R. and Awang, M. and Soomro, A.A. and Alam, M.A. and Bhayo, B.A.  (2022) Optimization and Modelling of Resistance Spot Welding Process Parameters for Quality Improvement Using Taguchi Method and Artificial Neural Network.  Iranian Journal of Materials Science and Engineering, 19 (4).  pp. 1-10.  ISSN 17350808