Methods of optimization of milling parameters based on genetic algorithm

摘要

In this paper, the genetic algorithm is used to optimize the milling parameters in the milling process so that the tool life can be enhanced and processing costs can be reduced. LABVIEW is used as software development platform to program, monitor the tool wear and determine the tool life. Through the method of orthogonal experiment to design experiment and then the measured data is dealt with by MATLAB, and a mathematical formula is established between milling parameters and tool life. Using mathematical formula and production cost process as a mathematical model. At last, dealing with the mathematical model through the application of genetic algorithms, the most optimized milling parameters is obtained. Experiment proves the practicality of the genetic algorithm in the optimization of milling parameters.