Parameters Optimization and Experimental Analysis in High Speed Machining
First of all, in the cutting parameters optimization, according to the different processing conditions, optimization variables selection is different, including production efficiency the objective function and the constraint conditions of the machine tool. And then using genetic algorithm to build a high-speed processing parameters optimization model. The mathematical model explores the best solution through the software Matlab, and gets the optimal combination between the parameters of each cutting; high speed machining cutting parameters provides the reference for the choice of the user. Through the optimization of the comparison of the before and after that, using genetic algorithm cutting parameters optimization, mach inability got obvious improvement, in order to ensure the quality of processing also achieve the maximization of the production efficiency.
Liangchi Zhang, Chunliang Zhang, Jeng-Haur Horng and Zichen Chen
H. Lin et al., "Parameters Optimization and Experimental Analysis in High Speed Machining", Advanced Materials Research, Vols. 591-593, pp. 480-483, 2012