<p>This study proposes an adaptive deformable mold platform (AMP) for composite material surface forming, and solves its key design parameter optimization problem through theoretical modeling, numerical simulation, and experimental verification system. Based on Timoshenko beam theory, the optimal control point spacing was determined to be 100&#xa0;mm, and under this condition, the forming error was reduced by 48.2%. By combining response surface analysis with the Mooney Rivlin hyperelastic material model, the optimal configuration of a 6× 6 actuator array and a 50&#xa0;A hardness rubber panel was optimized. Based on the above parameters, an AMP prototype platform was constructed, and the forming accuracy was evaluated through 3D scanning. The results showed that under the condition of a target surface height difference of 88&#xa0;mm, the maximum forming error was 4.11&#xa0;mm, and the relative error was controlled within 4.6%, meeting the requirements of engineering applications.</p>

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Design and accuracy verification of multi curve panel adaptive forming mold platform

  • Junjun Wu,
  • Zhikun Chen,
  • Qingjiang Hou,
  • Huaming Zhou,
  • Zhigao Huang

摘要

This study proposes an adaptive deformable mold platform (AMP) for composite material surface forming, and solves its key design parameter optimization problem through theoretical modeling, numerical simulation, and experimental verification system. Based on Timoshenko beam theory, the optimal control point spacing was determined to be 100 mm, and under this condition, the forming error was reduced by 48.2%. By combining response surface analysis with the Mooney Rivlin hyperelastic material model, the optimal configuration of a 6× 6 actuator array and a 50 A hardness rubber panel was optimized. Based on the above parameters, an AMP prototype platform was constructed, and the forming accuracy was evaluated through 3D scanning. The results showed that under the condition of a target surface height difference of 88 mm, the maximum forming error was 4.11 mm, and the relative error was controlled within 4.6%, meeting the requirements of engineering applications.