Optimization study by combining grinding quality and efficiency

ZHAO Xia1，GUO Jian-liang2，CHI Jun2，CHEN Lian-qing2

（1. School of Haitian，Ningbo Polytechnic，Ningbo 315800，China；2. School of Mechanical Engineering，Ningbo University of Technology，Ningbo 315016，China）

Abstract：Aiming at the shortcoming that grinding quality is emphasized much more than grinding efficiency in the literature，the combined optimization approach was studied in which both the machining quality and efficiency were considered. Through the analysis of the main objective and influencing factors for outer- diameter grinding operation，a nonlinear optimization model was proposed by combining the surface roughness model and the material removal rate model. The parameter region from design manual and the technical requirements on engineering drawings was incorporated into the model as several constraints. Based on the experimental data on

orthogonal design of grinding experiments，the proposed model was trained by using the sequential quadratic programming algorithm. Under the given grinding condition in this work，the optimal parameters predicted by the model are a grinding depth of 0.011 mm，a workpiece velocity of 30 m/min，and a longitudinal feed rate of 20 mm/r. Finally，a series of verification experiments were carried out with random grinding parameter combinations. The results indicate that，the maximum prediction error is not over 16% and the predicted optimal parameters are helpful in programming the practical grinding process.