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基于渐进损伤模型的机床复合材料传动轴扭转性能分析
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国家自然科学基金青年科学基金项目(11602237);广西机电职业技术学院科研项目(2021YKYZ002)


Torsional Performance Analysis of the Composite Transmission Shaft of Machine Tool Based on Progressive Damage Model
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    摘要:

    利用考虑就地效应的Hashin失效准则和刚度非线性退化方法,并且引入Cohesive界面单元,采用ABAQUS有限元分析软件的子程序UMAT编写面内和层间渐进损伤模型,建立实体单元和Cohesive界面单元结合的实体模型,对纤维增强复合材料传动轴的扭转屈曲和后屈曲性能进行研究。利用模型对该项目试验结果进行验证,对某文献中的碳纤维复合材料轴进行有限元分析,并与试验数据进行比对,验证有限元模型的可靠性。结果表明:所建立的渐进损伤模型对拉伸载荷作用下的层合板失效强度的计算精度较高;压缩载荷作用下,利用该模型进行屈曲和后屈曲分析时的计算结果和试验结果吻合度较高;利用所提出的渐进损伤模型对碳纤维复合材料传动轴进行扭转屈曲和后屈曲失效分析,所得结果与试验结果吻合度较好。

    Abstract:

    By using Hashin failure criterion and nonlinear stiffness degradation method, and by introducing Cohesive interface element, the Cohesive damage models were developed by using subroutine UMAT of ABAQUS finite element analysis software. A solid model combining solid element with Cohesive interface element was established to study the buckling and post buckling performance of a fiber reinforced composite drive shaft. The model was used to verify the test results of the project, the finite element analysis was carried out on the carbon fiber composite shaft in a literature, and the results were compared with the test data to verify the reliability of the finite element model. The results show that the established progressive damage model has a high calculation accuracy for the failure strength of laminates under tensile loading; the buckling and post buckling analysis of the model under this compression load has a good agreement with the test results; the proposed progressive damage model was used to analyze the torsional buckling and post buckling failure of the carbon fiber composite transmission shaft, and the results were in good agreement with the experimental results.

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李玺,林显新,苏茜,陈宏,刘宁夫.基于渐进损伤模型的机床复合材料传动轴扭转性能分析[J].机床与液压,2021,49(23):136-142.
LI Xi, LIN Xianxin, SU Qian, CHEN Hong, LIU Ningfu. Torsional Performance Analysis of the Composite Transmission Shaft of Machine Tool Based on Progressive Damage Model[J]. Machine Tool & Hydraulics,2021,49(23):136-142

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  • 在线发布日期: 2023-04-25
  • 出版日期: 2021-12-15