Cutting Parameter Optimization Based on Particle Swarm Optimization

In metal cutting process, in order to improve the quality of product and raise the efficiency of equipment, new optimizations of cutting parameters method were put forward. Using three targets control parameters, machining time, machining accuracy and machining cost, multiple targets nonlinear programming model was established. The multiple targets nonlinear constraint program problem was transformed to single target nonlinear no constraint program problem. Based on the model, the optimal cutting parameters are generated with particle swarm optimization (PSO). An example shows that the optimal cutting parameters are easier to satisfy the optimizing object than the empirical ones, and PSO is applicable for solving complicated nonlinear problem. It provided a scientific method for the reasonable choice of cutting quantity.