面向功率和制孔质量的CFRP钻削工艺参数多目标优化方法  

Multi-objective Optimization Method of CFRP Drilling Process Parameters for Power and Drilling Quality

作　　者：马峰 黄顺虎 刘培基 张华[1,3] MA Feng;HUANG Shunhu;LIU Peiji;ZHANG Hua(Key Laboratory of Metallurgical Equipment and Control Technology,Ministry of Education,Wuhan University of Science and Technology,Wuhan 430081;Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering,Wuhan University of Science and Technology,Wuhan 430081;Precision Manufacturing Institute,Wuhan University of Science and Technology,Wuhan 430081;Department of Industrial and Systems Engineering,The Hong Kong Polytechnic University,Hong Kong 999077)

机构地区：[1]武汉科技大学冶金装备及其控制教育部重点实验室,武汉430081 [2]武汉科技大学机械传动与制造工程湖北省重点实验室,武汉430081 [3]武汉科技大学精密制造研究院,武汉430081 [4]香港理工大学工业和系统工程系,中国香港999077

出　　处：《机械工程学报》2023年第11期290-299,共10页Journal of Mechanical Engineering

基　　金：国家自然科学基金(52105527,52105507);湖北省重点研发计划(2022BAD127);襄阳市重点科技计划(2022ABH005666)资助项目。

摘　　要：航空、航天等高端制造领域碳纤维增强复合材料(CFRP)使用比例大幅增长,CFRP构件大规模生产已经展开,虽可降低CFRP成本,但所面临的降耗减排与质量提升等问题也会日渐突出。为提高CFRP构件质量,同时降低加工过程中的能源消耗和碳排放,开展针对CFRP构件钻削工艺加工参数的多目标优化研究。首先,确定以主轴转速、进给速度和复材层铺顺序为优化变量,以钻削过程钻削功率和CFRP构件孔口处分层因子为目标的多目标优化模型;然后,通过全因子实验,利用仪器采集钻削功率和分层因子数据;进而,基于响应曲面法,分析各加工参数对钻削功率和分层因子的影响;最后,再利用多项式拟合和NSGA-Ⅱ算法对多目标模型进行优化求解。研究结果表明:构建的多目标优化模型和提出的优化方法能够获得最优参数组合,优化结果可显著提高加工质量和钻削功率。The proportion of carbon fiber reinforced composites(CFRP)used in high-end manufacturing fields such as aviation and aerospace has increased significantly.The large-scale production of CFRP components has been launched.Although the cost of CFRP can be reduced,problems such as consumption reduction,emission reduction and quality improvement will become increasingly prominent.In order to improve the quality of CFRP components and reduce the energy consumption and carbon emissions during the machining process,a multi-objective optimization study on the machining parameters of the drilling process for CFRP components is carried out.First,a multi-objective optimization model with spindle speed,feed rate and layer laying sequence of composite materials as optimization variables,drilling power during drilling and delamination factor at the orifice of CFRP components as objectives is determined;then,through full factor experiments,using the instrument to collect drilling power and delamination factor data;Furthermore,based on the response surface method,the influence of each machining parameter on the drilling power and delamination factor is analyzed;finally,the multi-objective model is optimized by using polynomial fitting and NSGA-II algorithm.The research results show that the constructed multi-objective optimization model and the proposed optimization method can obtain the optimal parameter combination,and the optimization results can significantly improve the machining quality and drilling power.

关 键 词：数控加工系统 高效低碳加工 多目标优化 碳纤维增强复合材料 

分 类 号：TH166[机械工程—机械制造及自动化]