关键词: 低碳制造, 刀具几何参数, 车削加工, 自适应遗传算法

Abstract: To realize the low-carbonization of turning machining process and to improve the machining quality,based on analyzing the relation among energy consuming,cutting temperature and cutting tool geometry parameters in the machining process,by considering the constraints such as machine tool property and processing quality,the tool geometric parameters optimization model for low-carbon turning which took the cutting tool rake angle and cutting tool edge angle as the optimization variables was built.An adaptive genetic algorithm was proposed and applied to solve the proposed model.The case analysis indicated that the carbon emissions and cutting temperature were reduced by 12% and 17% than the original tool parameters by taking carbon emission as the optimization model,the cutting temperature,machine tool property and processing quality as the constraints.The proposed model and method could provide support for the manufacturing enterprise selecting optimal low-carbon turning tool geometry parameters in response to low-carbon requirements.

Key words: low-carbon manufacturing, tool geometric parameter, turning machining, daptive genetic algorithm