Abstract: In ultra-precision turning process, the modeling of surface roughness and the optimization of cutting parameters are the key factors to improve the quality of products and rise the efficiency of equipment. The accurate prediction of surface roughness and optimal cutting parameters are urgently required with the progress in ultra-precision manufacturing. To meet the requirement, the application of genetic algorithm for the surface roughness prediction model and cutting parameters optimization in ultra-precision turning is proposed by a practical example. Mathematics model is introduced and optimal results are given. The prediction model and optimal cutting parameters using genetic algorithm are compared with least square method and traditional optimal results. Comparison shows that genetic algorithm is more suitable than traditional optimal methods in terms of modeling and guaranteeing prediction accuracy and cutting parameters optimization.

Key words: Cutting parameters, Genetic algorithm, optimization, Surface roughness prediction model, Ultra-precision turning