Optimization of camshaft grinding parameters based on response surface method and NSGA2

Abstract

In order to improve the grinding quality and efficiency of 20CrMo steel camshaft, response surface method was used to conduct grinding tests. The influence of grinding process parameters on surface roughness was analyzed, and the corresponding regression model was established. Based on the shape characteristics of the workpiece, the instantaneous material removal rate calculation model of the weak part of the workpiece was established. The model of surface roughness and material removal rate was taken as the optimization objective. The second generation of non-dominated sorting genetic algorithm was used to optimize the combination of multi-objective process parameters and test verification was carried out. The results show that the optimal combination of process parameters, namely the linear speed of the grinding wheel 60 m/s, the workpiece speed 96 r/min and the grinding depth 30 μm, can effectively improve the grinding efficiency under the premise of ensuring that the surface roughness of the weak part meets the machining requirements.

Keywords

• camshaft grinding
• response surface methodology
• nsga2
• parameter optimization