As the manufacturing industry is facing increasingly serious environmental problems,because of which carbon tax policies are being implemented,choosing the optimum cutting parameters during the machining process is crucial for automobile panel dies in order to achieve synergistic minimization of the environment impact,product quality,and processing efficiency.This paper presents a processing task-based evaluation method to optimize the cutting parameters,considering the trade-off among carbon emissions,surface roughness,and processing time.Three objective models and their relationships with the cutting parameters were obtained through input-output,response surface,and theoretical analyses,respectively.Examples of cylindrical ting were applied to achieve a central composite design (CCD),and relative validation experiments were applied to evaluate the proposed method.The experiments were conducted on the CAK50135di lathe cutting of AISI1045 steel,and NSGA-Ⅱ was used to obtain the Pareto fronts of the three objectives.Based on theTOPSIS method,the Pareto solution set was ranked to find the optimal solution to evaluate and select the optimal cutting parameters.An S/N ratio analysis and contour plots were applied to analyze the influence of each decision variable on the optimization objective.Finally,the changing rules of a single factor for each objective were analyzed.The results demonstrate that the proposed method is effective in finding the trade-off among the three objectives and obtaining reasonable application ranges of the cutting parameters from Pa reto fronts.