Prediction and Optimization of Cure Cycle of Thick Fiber Reinforced Composite Parts Using Artificial Neural Networks, M.Sc. Thesis Sharif University of Technology ; Shojaei, Akbar (Supervisor) ; Pishvaie, Mahmoud Reza (Supervisor)
Abstract
The Curing of thick thermoset parts of composites Experience substantial temperature overshoot, especially at the center of those thick parts and large temperature gradient exists through the whole part due to large amount of released heat, thickness and low conductivity of the composite.this leads to non-uniformity of cure, residual stress and consequently composite cracks and possibly degradation of the polymer. In this thesis, first a thick cubic geometery of glass/epoxy composite is modeled with the help ofa commercial CFd packageand sensitivity to different effective parameters of this process is investigated with the help of this model.This model is then substituted by a trained...
Cataloging briefPrediction and Optimization of Cure Cycle of Thick Fiber Reinforced Composite Parts Using Artificial Neural Networks, M.Sc. Thesis Sharif University of Technology ; Shojaei, Akbar (Supervisor) ; Pishvaie, Mahmoud Reza (Supervisor)
Abstract
The Curing of thick thermoset parts of composites Experience substantial temperature overshoot, especially at the center of those thick parts and large temperature gradient exists through the whole part due to large amount of released heat, thickness and low conductivity of the composite.this leads to non-uniformity of cure, residual stress and consequently composite cracks and possibly degradation of the polymer. In this thesis, first a thick cubic geometery of glass/epoxy composite is modeled with the help ofa commercial CFd packageand sensitivity to different effective parameters of this process is investigated with the help of this model.This model is then substituted by a trained...
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