Optimization of electrochemical polishing of stainless steel by grey relational analysis

Grey relational analysis is useful for the multi-input, discrete data and uncertain experimental study. Developed in this paper is the application of the grey relational analysis for optimizing the electropolishing of 316L stainless steel with multiple performance characteristics. The processing parameters (temperature, current density, and electrolyte composition) are optimized with considerations of the multiple performance characteristics (surface roughness and passivation strength). The conducted experiments approve the effectiveness of the grey relational analysis.