Shrinkage and Warpage Prediction of Injection-Molded Thin-Wall Parts Using Artificial Neural Networks.

Presents a study conducted by researchers from National Chung Cheng University, Taiwan on shrinkage and warpage prediction of injection-molded thin-wall parts using artificial neural networks. Analysis on the potency of black-propagation artificial neural networks (BPANN); Effects of structural parameters of a BPANN on determining optimal process condition; Comparison on the efficacy of BPANN and C-Model software in determining optimal process condition.