Indian Welding Journal

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Predicting the Effects of Process Parameters on Weld Bead Geometry in Mig Welding using ANN


Affiliations
1 Kushtia Polytechnic Institute, Kushtia, Bangladesh
2 Department of Mechanical Engineering, Khulna University of Engineering and Technology, Khulna, Bangladesh
3 Department of Electrical and Electronic Engineering, Khulna University of Engineering and Technology, Khulna, Bangladesh
     

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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.
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  • Predicting the Effects of Process Parameters on Weld Bead Geometry in Mig Welding using ANN

Abstract Views: 479  |  PDF Views: 4

Authors

Subrata Saha
Kushtia Polytechnic Institute, Kushtia, Bangladesh
Naseem Ahmed
Department of Mechanical Engineering, Khulna University of Engineering and Technology, Khulna, Bangladesh
Md. Abdur Rafiq
Department of Electrical and Electronic Engineering, Khulna University of Engineering and Technology, Khulna, Bangladesh
Tarapada Bhowmick
Department of Mechanical Engineering, Khulna University of Engineering and Technology, Khulna, Bangladesh

Abstract


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.


DOI: https://doi.org/10.22486/iwj%2F2014%2Fv47%2Fi3%2F141128