Abstract—Fuzzy logic technique contains a potential to give a simplified control of various engineering and non-engineering applications. The rule-based character of fuzzy models allows for a model interpretation in a way that is similar to the one humans use to describe reality. Conventional methods for statistical validation based on numerical data can be complemented by the human expertise that often involves heuristic knowledge and intuition. In the present work the modelling of the effect of weld speed on the weld bead profile i.e. on depth of penetration, weld bead width, reinforcement height, the effect of weld speed on the weld bead dilution i.e. penetration area and reinforcement area has been done using Fuzzy Inference System (FIS). In this experiment the MIG butt welds of IS 2062 E250 mild steel plates to be welded using CO2 as shielding gas. Welding speed is select as process variable while arc voltage, welding current, wire feed rate distance between the nozzle and the plates are fixed in this experiment.

Index Terms—Adaptive Fuzzy Inference System (ANFIS), Clustering, Sugeno Fuzzy Inference, Mig-Welding, Weld Bead

Cite: Gurcharan Singh and Harwinder Lal, "Fuzzy Model Prediction for Effect of Welding Speed on Weld Bead Profile and Dilution of IS 2062 E250A Steel in Mig Welding," International Journal of Mechanical Engineering and Robotics Research, Vol.3, No. 4, pp. 86-100, October 2014.