The Grinding Parameter Optimization under the Carbon Benefit Objective

Abstract

Grinding is a high carbon emission process in processing technology. To improve the energy efficiency of the grinding process and reduce the carbon emissions and costs of the grinding process, the concept of carbon efficiency is proposed. The study takes the maximisation of carbon benefit in the grinding process as the optimization objective. The linear speed of the grinding wheel, the feed speed of the workpiece and the radial feed speed of the grinding wheel are taken as the optimization variables. Considering the grinding performance of the grinding wheel, taking the performance of the machine tool and the machining requirements of the workpiece as constraints, a multi-objective optimization model of the grinding process is established. The model is optimized by a genetic algorithm, and the effectiveness of this method is verified by a case.