Predicting the Effects of Process Parameters on Weld Bead Geometry in Mig Welding using ANN
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Authors
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Kushtia Polytechnic Institute, Kushtia ,BD
Subrata Saha -
Department of Mechanical Engineering, Khulna University of Engineering and Technology, Khulna ,BDNaseem Ahmed
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Department of Electrical and Electronic Engineering, Khulna University of Engineering and Technology, Khulna ,BDMd. Abdur Rafiq
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Department of Mechanical Engineering, Khulna University of Engineering and Technology, Khulna ,BDTarapada Bhowmick
DOI:
https://doi.org/10.22486/iwj/2014/v47/i3/141128Abstract
Bead-on-plate experiments were conducted using a semi-automatic MIG welding machine to determine the effects of process parameters like wire diameter, wire feed rate, welding current, welding speed etc. on weld bead geometry like bead height, bead width, depth of penetration etc. An artificial neural network based modeling had successfully been done to correlate the effects of process parameters on weld bead geometry.
