Application of Neural Networks to Optimization of Cure Cycles for the Manufacture of Composites

8/19/99


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Table of Contents

Application of Neural Networks to Optimization of Cure Cycles for the Manufacture of Composites

Overview

Autoclave Processing

Thermochemical Process Model

Process Optimization

NLP Optimization Approach

Numerical Model Validation

Optimization Results (Rai and Pitchumani, Polymer Composites, 1997)

This is dandy, but…

Neural Networks

Neural Network-based Process Simulator

Data Comparisons—Cure Time

Data Comparisons—Max. Laminate Temperature

Data Comparisons—Max. Temperature Difference

Data Comparisons—Max. Temperature Gradient

Data Comparisons—Minimum Degree of Cure

Combined NLP-ANN Optimization

Optimal Cure Cycle Comparisons

Computational Time Comparisons

Generalized Neural Network (Rai and Pitchumani, J. Composite Materials, 1996)

Data Comparisons—Cure Time

Data Comparisons—Max. Laminate Temperature

Data Comparisons—Max. Temperature Difference

Data Comparisons—Max. Temperature Gradient

Data Comparisons—Minimum Degree of Cure

Summary