Simulation Prediction and Control Verification of Curing Deformation on Typical Composite Structure
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1.Aerospace Research Institute of Materials & Processing Technology,Beijing 100076;2.College of Mechanical and Electronic Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016

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TB332

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    Abstract:

    In response to the problem of difficult control of deformation during the curing process of typical composite material structures,the curing deformation of typical composite structures was simulated and predicted, and the curing deformation was controlled and verified from two aspects:curing process and die compensation.In terms of curing process, the optimal curing process curve was determined based on the deformation data of each design point. In terms of mold compensation, a method of adaptive adjustment of the finite element model of the component was proposed. A collaborative control method based on global compensation was adopted to comprehensively consider the curing process parameters and mold surface compensation.The results show that the solidification deformation error of L-shaped components through simulation is 12.4%. The optimal solidification process curve of L-shaped components obtained by response surface optimization algorithm has a deviation of no more than 3.3% between the predicted solidification deformation value and the minimum maximum deformation value at each experimental design point. After adaptive adjustment of the T-shaped reinforced wall panel finite element model, the maximum relative error between the numerical simulation value and the experimental measurement value for the deviation distance between the lower surface and the target profile is 17.20%.The mold of the semi cylindrical wall panel is compensated by the collaborative control method of global compensation, and the maximum curing deformation is reduced by nearly 90% compared with the traditional single mold surface compensation control method.

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History
  • Received:November 17,2023
  • Revised:April 17,2024
  • Adopted:March 12,2024
  • Online: April 29,2024
  • Published: