Development of the process model for plunge grinding and optimization of grinding process

Abstract

This article presents improved grinding roughness model established for cylindrical plunge grinding though analysing the existing roughness models. The proposed roughness model is to consider the uncertain effects of grinding, such as changes of grinding conditions and circumstance, as grinding procedure is progressed. In order to consider the uncertain effect of grinding, the time delay between programmed and actual infeed rate of grinding table is selected as weighting factor of the proposed roughness model. The developed roughness model is also used for the optimization algorithm of grinding procedure. Optimization algorithm in this study is constructed to minimize the grinding cost and to obtain the optimized dressing and grinding conditions under grinding constraints such as no-burn condition, limitation of roughness of workpiece, grinding power, etc. The optimized results also give an optimized dressing interval in batch production. The used optimization algorithm is an Evolutionary Strategy algorithm, and performance of the proposed algorithm was evaluated with experiments.