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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TG495

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    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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History
  • Received:June 14,2022
  • Revised:August 20,2024
  • Adopted:August 08,2022
  • Online: December 03,2024
  • Published:
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