A Fuzzy Logic Based Model to Predict Weld Width – A Case Study of Hard Facing Process Using MIG Welding on Dual Plate Check Valve

Abstract:

Welding input parameters play a very significant role in determining the quality of a weld joint. The joint quality can be defined in terms of weld-bead geometry. The 2³ replication with 4 center points experiments are performed on non-return valve material WCB by varying various MIG Welding process parameters. Here welding current, welding speed and gas flow rate are considered as input parameters with two levels. A fuzzy model is developed to predict the weld width in context of these input parameters. Fuzzy model uses fuzzy expert rules, triangular membership function and centroid area method for defuzzyfication process using MATLAB fuzzy logic tool box. The developed model is validated by performing experiments at center points. The result shows prediction may lie in the range of 95.18-100%.

• Periodical: Applied Mechanics and Materials (Volumes 592-594)
• Pages: 8-12
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.592-594.8
• Online since: July 2014
• Authors: Saurin Sheth, Bhavin S. Modi*, Tejas Patel, P.M. George
• Keywords: Fuzzy Logic, MIG Welding, Weld Width

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DOI: 10.4028/www.scientific.net/amm.592-594.8

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