Predicting Curing Distortion in Composite Manufacturing
Author Information
Author(s): Zhang Yongming, An Luling, Zhao Cong
Primary Institution: Collage of Mechanical & Electrical Engineering, Nanjing University of Aeronautics and Astronautics
Hypothesis
Can simplified numerical methods accurately predict curing distortion in composite structures?
Conclusion
The proposed second simplified method effectively predicts curing distortion with high accuracy and significantly improves computational efficiency.
Supporting Evidence
- The second simplified method reduced computation time by 90.8% compared to traditional methods.
- The maximum prediction error for curing distortion was only 9.8% when compared to experimental results.
- The study provides a new solution for the rapid iterative design of large-scale composite structures.
Takeaway
This study found a faster way to predict how composite materials will change shape when they are made, which helps save time and money in manufacturing.
Methodology
Two simplified numerical methods were developed to predict curing distortion in composite structures, focusing on reducing grid elements and improving computational efficiency.
Limitations
The study may have measurement errors and input parameter inaccuracies that could affect prediction accuracy.
Digital Object Identifier (DOI)
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