relation: https://khub.utp.edu.my/scholars/8070/
title: Optimum welding parameter for GMA welding using soft computing techniques
creator: Pedapati, S.R.
creator: Shasidaran
creator: Kamal, S.
creator: Rani, A.M.A.
description: In this paper, a study on the welding parameters for pipeline is done by application of Metal Inert Gas (MIG) welding by taking into account welding speed and wire feed rate as the parameters. These parameters are important to determine the tensile strength and weld bead penetration of the welded specimen. Large data sets are necessary to train the Neural Network using Matlab ANN tool and hence enable to predict the desired output. The predicted output is validated by comparing with experimental data. © 2017 Author(s).
publisher: American Institute of Physics Inc.
date: 2017
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Pedapati, S.R. and Shasidaran and Kamal, S. and Rani, A.M.A.  (2017) Optimum welding parameter for GMA welding using soft computing techniques.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85038358071&doi=10.1063%2f1.5010509&partnerID=40&md5=f9028a723c9a5585b12c008705dd4692
relation: 10.1063/1.5010509
identifier: 10.1063/1.5010509