Multiobjective Optimization of Grinding Process Parameters Using Particle Swarm Optimization Algorithm
作者： P. J. Pawar , R. V. Rao , J. P. Davim
DOI: 10.1080/10426910903124860
关键词:
摘要: Grinding is one of the very important machining operations in engineering industries. Optimization grinding processes still remains as most challenging problems because its high complexity and non-linearity. This makes application traditional optimization algorithms quite limited. Hence, there a need to apply recent powerful techniques get desired accuracy optimum solution. In this paper, recently developed nontraditional technique, particle swarm (PSO) algorithm presented find optimal combination process parameters process. The objectives considered present work are, production cost, rate, surface finish subjected constraints thermal damage, wheel wear, machine tool stiffness. variables for are speed, workpiece depth dressing, lead dressing. results compared with previously pu...
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