Optimization of Milling Cutting Parameters under Carbon Efficiency Target

Abstract

In order to improve the energy efficiency of the CNC milling process and reduce the carbon emissions during the milling process, this paper presents a method for cutting parameters selection by considering both materials remove rate and carbon emissions. First, a metric called carbon emissions efficiency is proposed with consideration of the materials remove rate and carbon emissions. Second, the carbon emissions evaluation model for NC milling process is built based on the input-output flows. Third, an optimization model for the parameters used in a milling operation is built where the spindle speed and feed rate are taken into account as optimization variables. Constraints are proposed based on the machine tool performance parameters and the quality requirements of the workpiece. A genetic algorithm is employed to solve the optimization problem. A case is studied to validate the model.