基于响应面法的颗粒增强黏结接头参数优化及断裂失效分析
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昆明理工大学机电工程学院,昆明 650500

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TG495

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国家自然科学基金 (51565022;52065034)


Parameter Optimization and Fracture Failure Analysis of Particle-reinforced Adhesive Bonding Joints Based on Response Surface Method
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Mechanical and Electrical Engineering College,Kunming University of Science and Technology,Kunming 650500

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    摘要:

    基于Box-Behnken Design (BBD)设计方法,开展Al2O3颗粒增强黏结工艺试验研究。建立了黏结特征参数(颗粒粒径、黏结层厚度、质量分数)与响应值(失效载荷、能量吸收值)之间的多元回归模型,并通过实验对模型进行了验证。建立了黏结层的代表性体积单元(Representative volume element,RVE)有限元分析模型,探讨胶层断裂失效机理。结果表明,颗粒粒径对接头破坏载荷的影响最大。对能量吸收值影响最大的是颗粒质量分数。最佳工艺参数颗粒粒径为46 μm,胶层厚度为0.6 mm,质量分数为5%。有限元分析表明,Al2O3颗粒的加入改变了裂纹扩展路径,增加了裂纹长度,使得胶层的断裂能增加,进而提高了黏结接头的力学性能。

    Abstract:

    Based on Box-Behnken Design (BBD) method, the experimental research of alumina particles reinforced bonding was carried out. The multivariate regression models between bond characteristic parameters (particle size, adhesive layer thickness and mass fraction) and response values (failure load, energy absorption value) were established, and the models were verified by experiments. The RVE (representative volume element) model was established to verify the failure mechanism of adhesive layer fracture. The results indicate that the greatest impact on the failure load of the joint is particle size. The greatest impact on energy absorption value of the joint is particle mass fraction. The optimal process parameters are particle size of 46 μm, adhesive layer thickness of 0.6 mm and mass fraction of 5%. Finite element analysis shows that the addition of alumina particles changes the cracks propagation path, which increases the crack length and the fracture energy of adhesive layer, thus enhance the mechanical properties of adhesive joints.

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王玉涛,曾凯,张洪申,邢保英.基于响应面法的颗粒增强黏结接头参数优化及断裂失效分析[J].宇航材料工艺,2024,54(5):81-86.

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  • 收稿日期:2022-06-14
  • 最后修改日期:2024-08-20
  • 录用日期:2022-08-08
  • 在线发布日期: 2024-12-03
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