面向低碳低成本的法兰盘钻削工艺参数优化  

Optimized Process Parameters for Low-Carbon and Low-Cost Flange Drilling

作　　者：曹宪硕 李仁旺[1] 

机构地区：[1]浙江理工大学机械工程学院,浙江 杭州

出　　处：《建模与仿真》2023年第4期3396-3406,共11页Modeling and Simulation

摘　　要：为了响应国家的双碳政策,降低制造业的碳排放势在必行,本文从钻削加工中碳排放和加工成本影响因素出发,结合约束条件建立以低碳低成本为目标的法兰盘钻削加工优化模型。对传统灰狼优化算法收敛速度慢、精度不高、容易过早陷入局部优化的缺点进行改进,选用法兰盘的钻削加工过程作为研究对象,使用改进后的灰狼优化算法结合Matlab得出优化结果,并与传统灰狼优化算法优化结果作对比验证算法改进的有效性与准确性。最终得到的优化结果较未优化前碳排放量最大可降低13.1%,加工成本最大可降低26.8%。本文所建立的模型和工艺参数优化方法可为企业低碳低成本制造提供一种可行方案。In order to respond to the national dual carbon policy, it is imperative to reduce the carbon emis-sions of the manufacturing industry, starting from the factors influencing carbon emissions and processing costs in drilling processing, and combining the constraints to establish an optimization model of flange drilling with low carbon and low cost as the goal. The shortcomings of the traditional gray wolf optimization algorithm are slow convergence, low precision, and easy to fall into local op-timization too early, and the drilling process of flange is selected as the research object, and the op-timization results of the improved gray wolf optimization algorithm are obtained by combining with Matlab, and the effectiveness and accuracy of the algorithm improvement are verified by comparing the optimization results with the traditional gray wolf optimization algorithm. The resulting opti-mization results can reduce carbon emissions by up to 13.1% and processing costs by up to 26.8% compared with before optimization. The model and process parameter optimization method estab-lished in this paper can provide a feasible scheme for low-carbon and low-cost manufacturing.

关 键 词：灰狼优化算法 局部优化 钻削加工 算法改进 法兰盘 低成本制造 碳排放 低碳 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]