The use of fuzzy logic in the Taguchi method for the optimisation of the submerged arc welding process

The rise of fuzzy logic in the Taguchi method to optimise the submerged are welding process with multiple performance characteristics is reported in this paper. An orthogonal array, the signal-to-noise ratio, multiresponse performance index, and analysis of variance are employed to study the performance characteristics in the submerged are welding process. The process parameters, namely are current, are voltage, welding speed, electrode protrusion, and preheat temperature are optimised with considerations of the performance characteristics, including deposition rate and dilution. Experimental results are provided to confirm the effectiveness of this approach.