Study Of Cutting Parameters Optimization In Turning Base On Genetic Algorithm

The correct and reasonable choice cutting parameters is of great sigificance to guarantee the processing quality, raises the productivity and the economic efficiency.This paper first obtains from the research metal cutting theory, through the brazing carbide lathe tool cutting the medium-carbon steel experiment,research influence rule of the cutting parameters to the surface roughness. The feed has the most tremendous influence to the surface roughness,next is the cutting speed, the last is the turning depth. The feed increases, the surface roughness increases, The cutting speed increases, the surface roughness reduces. This basic identically with cutting specifications to turning process influence rule.Uses Multiple linear regression method, has established the surface roughness return has established the surface roughness return exponential model model, and carries on the significance examination to the model.Take processing efficiency and the surface roughness as optimization goal. The research of the cutting parameters choiced on the cutting, the workpiece, the cutting tool. Establish mathematics model of the cutting parameters optimization.In based on the research of the genetic algorithm's turning parameters single or double goal optimization, used Matlab the GADS genetic algorithm toolbox to carry on the programming, the development has established the cutting parameters optimized system.Confirmating the optimization result through the cutting experiment, indicated finally: Under steady state cutting condition ,obtains the statisfactory optimited result . It has the strong reliability and the accuracy based on cutting parameters optimization system of the genetic algorithm.