Optimization of control parameters for mechanical and wear properties of carburized mild steel using grey relational analysis

摘要

This paper presents the optimization of carburization process parameters for mild steel by using the Grey based Taguchi method. Design of experiments was done on the basis of an orthogonal array L9 (34). Nine experiments were performed and mechanical & wear properties were selected as the quality target. An optimized parameter combination of the carburizing process was obtained via Grey relational analysis. By analyzing the Grey relational grade we find the degree of influence of each factor on the quality target. By this study we found that carburizing temperature was the most dominated factor, which mostly influences the mechanical and wear properties of carburized mild steel. At last, a confirmation test was conducted according to predicted optimal parameter setting and found the successful implementation of grey Taguchi approach.