| CPC G05B 13/027 (2013.01) [B29C 70/22 (2013.01); B29C 70/54 (2013.01); B29K 2105/0845 (2013.01); B29K 2307/04 (2013.01); B29K 2309/08 (2013.01)] | 17 Claims |
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1. A molding system for fabricating a fiber reinforcement polymer (FRP) composite article, comprising:
a detector, configured to capture a graph of a woven fiber from a top view;
a resin dispenser, configured to provide a resin to the woven fiber to form a FRP;
a processing module, configured to receive the graph and a plurality of parameters of the FRP, wherein the processing module comprises a convolutional neural network (CNN) model, and further configured to use the CNN model to obtain a plurality of predicted mechanical properties of the FRP according to the graph and the plurality of parameters of the FRP; and
a molding machine, configured to mold the FRP to fabricate the FRP composite article according to the plurality of predicted mechanical properties,
wherein the processing module is further configured to train the CNN model by using a plurality of training sets,
wherein each of the plurality of training sets comprises a training graph, a plurality of training parameters, and a plurality of training mechanical properties.
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