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Predicting Composite Curing Properties by phuochaiduong84 is a document available to read on EtoBox.
This study introduces a real-time system for predicting the mechanical properties of composite prepregs during the curing process using two models: Genetic Algorithm-Artificial Neural Network (GA-ANN) and Auto-Encoder with short-cut mechanism (AESC). The GA-ANN model achieves a minimum mean relative error of 3.84% in 26 seconds, while AESC offers a prediction with a minimum mean relative error of 10.11% in just 2.5 seconds. This approach addresses the limitations of traditional methods by providing efficien
- Author
- phuochaiduong84
- Language
- EN