State-Of-The-Art Optimization Techniques for Complex Machining Processes: A Review

Abstract

The main objective in machining operation is to produce a product with high quality and competitive price. Machining of advance materials is an important topic in current researchers on manufacturing processes. To determine an optimum cutting parameters is the prime requirement in the machinability study of super alloys. To improve quality of machined surface, the cutting tool must have its ability to retain severe cutting conditions all the times. To keep tool in a good condition, parametric optimization of spindle speed, feed rate, tool geometry is on the top priority. The industry has a demand of new materials like super alloys which are hard in nature and are difficult to machine. Effective machining without compromise product surface quality by specific manufacturing processes showed a new direction to the industrial world. Many conventional and unconventional manufacturing processes are used by the industrial sectors like marine, nuclear, petrochemical, aerospace, medical etc. These processes are having many process parameters and to select particular parameter is very critical task as it has considerable impact on process performance. As the process parameters are in large, random selection of parameters will not give desired output. If the desired objectives are in a large number, then it is very crucial situation. The advance optimization techniques can handle such situation effectively for process parametric optimization. In this paper, advance optimization techniques of parametric optimization for complex manufacturing processes have been discussed.