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考虑刀具磨损影响的CFRP复合材料钻削轴向力预测
引用本文:陈逸佳,陈燕,晏超仁,范文涛,谢松峰.考虑刀具磨损影响的CFRP复合材料钻削轴向力预测[J].复合材料学报,2021,38(7):2207-2217.
作者姓名:陈逸佳  陈燕  晏超仁  范文涛  谢松峰
作者单位:南京航空航天大学  机电学院,南京 210016
基金项目:国家自然科学基金(51875284)
摘    要:在碳纤维增强树脂(CFRP)复合材料钻削过程中,随着刀具磨损量的累积,轴向力会逐渐增加,轴向力过大会导致CFRP复合材料一系列的加工缺陷。为实现在CFRP复合材料钻削过程中随刀具磨损量的累积轴向力变化的有限元分析及预测,建立了CFRP复合材料钻削仿真模型,通过对ABAQUS仿真软件二次开发,利用Python语言开发子程序,将考虑磨损量累积的轴向力预测模型导入仿真软件,运用ABAQUS软件对CFRP复合材料钻削中轴向力进行研究,实现了随着刀具磨损量累积轴向力变化的预测功能。随后通过CFRP复合材料钻削试验,分析了轴向力随钻削孔数的变化规律,以验证轴向力的预测结果。结果表明:3D钻削有限元模型能够良好地预测实际加工过程中刀具未磨损时轴向力的大小,其误差为9.10%;在考虑磨损量累积后,轴向力预测模型能够较准确地预测实际加工过程轴向力的大小,其最大误差不超过10%。 

关 键 词:CFRP复合材料    钻削    有限元模型    刀具磨损    轴向力预测模型    ABAQUS二次开发
收稿时间:2020-08-13

Prediction of thrust force in CFRP composite drilling considering tool wear effect
Affiliation:College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Abstract:In the drilling process of carbon fiber reinforced polymer (CFRP) composite, the thrust force gradually increases with the accumulation of tool wear. Excessive thrust force can cause a series of machining defects in CFRP composite. In order to realize the finite element analysis and prediction of the thrust force changing with the accumulation of tool wear in the process of CFRP composite drilling, the simulation model of CFRP composite drilling was established. Through the secondary development of the ABAQUS simulation software, the thrust force prediction model considering the wear accumulation was imported into the simulation software by using the Python language development subroutine. The thrust force in the CFRP composite drilling was studied by using the ABAQUS software, and the prediction function of thrust force change with tool wear was realized. Then, through CFRP composite drilling experiments, the changes in thrust force with the number of drilling holes were analyzed to verify the prediction results of the model. The results show that the 3D finite element model of drilling without considering the change of wear can well predict the thrust force in the actual machining process, with the error of 9.10%. After considering the wear accumulation, the thrust force prediction model can predict the thrust force in the actual machining process, with the maximum error less than 10%. 
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