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Modeling and Experimental Validation of the VARTM Process for Thin-Walled Preforms
Da Wu1, Ragnar Larsson1, Mohammad S Rouhi2
1Division of Material and Computational Mechanics, Department of Industrial and Materials Science, Chalmers University of Technology, SE-412 96 Göteborg, Sweden.
A new shell model enhances Vacuum-assisted Resin Transfer Molding (VARTM) simulations by simplifying 3D problems to 2D. This advanced model accurately predicts resin flow and preform deformation for large, thin-walled structures, improving process efficiency.
Area of Science:
- Materials Science
- Composite Manufacturing
- Computational Mechanics
Background:
- Vacuum-assisted Resin Transfer Molding (VARTM) is a widely used composite manufacturing process.
- Accurate simulation of VARTM is crucial for process optimization and defect reduction.
- Existing models often face challenges with computational efficiency for large-scale structures.
Purpose of the Study:
- To develop and validate an advanced shell model for VARTM simulations.
- To enhance computational efficiency for simulating large-scale, thin-walled composite structures.
- To provide insights for simulation-based optimization of the VARTM process.
Main Methods:
- A novel shell model is developed by simplifying the 3D resin flow and preform deformation problem to a 2D problem.
- The model incorporates assumptions of neglected through-thickness flow and restricted normal preform deformation.
- The model's accuracy and efficiency are validated against experimental VARTM processes.
Main Results:
- The simplified 2D shell model achieves high computational efficiency compared to 3D models.
- The model demonstrates excellent agreement with experimental results for the VARTM process.
- The simulation accurately captures nonlinear and coupled resin flow and preform deformation.
Conclusions:
- The advanced shell model offers a computationally efficient and accurate method for VARTM simulations.
- The model is suitable for analyzing large-scale, thin-walled composite structures.
- This approach facilitates simulation-based optimization of VARTM process parameters, such as gate/vent placement and deformation reduction.
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