Study On The Optimization Of Cutting Parameters

In today’s manufacturing environment, more and more companies in metal cuttingindustry have introduced manufacturing and management technologies to adapt to theever competitive market. Machining parameter optimization plays an important role inproducing required parts with low costs. It usually involves an optimal selection ofcutting speed, feed rate and depth of cut, i.e., the three elements of the cutting regime.The values of these parameters have an effect on production cost and efficiency.Advanced manufacturing requires economic machining. That is to shorten the machiningtime and maximize the profit in a cutting process. Multi-objective optimization ofmachining parameters for face-milling operations is studied in this research.The process of face-milling operation is analyzed, and a mathematical model is built.The unit production cost, unit machining time and profit rate are the objective functionsin the model. At the same time, the cutting equipment, cutting conditions, workpiecequality requirement and other technical conditions limit the selection of cutting parametervalues. In this study, the reasonable cutting parameter range, tool life, surface finish,cutting force, cutting power and roughing and finishing parameter relations areconsidered as constraints. The purpose of establishing mathematical optimization modelsis to reduce production cost and time and increase profit to realize economic machining.Uniform design and Genetic Algorithms (GAs) are used as optimization methodscoupled with MATLAB programming. The solutions of the optimization models for thegiven machining example are obtained for various tool replacement time and GA factors.The solutions are compared with those obtained by non-linear programming and by theliterature. In the paper, the author has made plentiful research on the multi-objectiveoptimization of machining parameters for face-milling operations and some valuableconclusions have been obtained. In addition, an outlook into the future work has beengiven to the optimization of cutting parameters in this thesis.