ABSTRACT Carbon emissions caused by CNC machining attract increasing attentions. It has been proved that carbon emissions and processing time are jointly affected by process routes and cutting parameters. Cutting parameters and process routes optimization, however, are traditionally carried out separately and sequentially, limiting the potential of carbon emissions reduction. To further reduce carbon emissions, an integrated approach of features processing sequence and cutting parameters optimization is proposed to minimize the carbon emissions and processing time. Firstly, a multi-objective optimization model for minimizing carbon emissions and processing time is proposed. Secondly, an NAGS-II algorithm is designed to solve the proposed model. Then, case studies are conducted to verify the feasibility and validity of the proposed integrated optimization approach. Case studies and comparative analysis with other literature show that: i) integrated optimization of features processing sequence and cutting parameters can achieve more carbon emissions savings than features processing sequence optimization with preset cutting parameters; ii) the proposed multi-objective integrated optimization method can strike a trade-off between carbon emissions and processing time.

中文翻译：

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一种综合的多目标优化方法，以确定数控加工碳排放量的最佳特征加工顺序和切削参数

摘要 CNC 加工引起的碳排放越来越受到关注。已经证明，碳排放和加工时间受工艺路线和切割参数的共同影响。然而，切割参数和工艺路线优化传统上是分开和顺序进行的，限制了碳减排的潜力。为了进一步减少碳排放，提出了特征加工顺序和切削参数优化的综合方法，以最大限度地减少碳排放和加工时间。首先，提出了最小化碳排放和处理时间的多目标优化模型。其次，设计了一种NAGS-II算法来解决所提出的模型。然后，进行案例研究以验证所提出的集成优化方法的可行性和有效性。案例研究和与其他文献的对比分析表明：i) 特征加工顺序和切削参数的综合优化比预设切削参数的特征加工顺序优化可以实现更多的碳减排；ii) 提出的多目标综合优化方法可以在碳排放和处理时间之间进行权衡。