Study of Application of Taguchi’s Method and Neural Networks to Molding Characteristics Predictions

Author:

Wu Dian-Ru1,Ong Jia-Bin1,Chen Yen-Ju1,Li Jui-Chan1,Peng Hsin-Shu1,Wei Li-Ju1

Affiliation:

1. Feng Chia Univ.,Dept. of Mech. and Computer-Aided Engineering,Taichung,Taiwan

Publisher

IEEE

Reference11 articles.

1. An effective approach to measuring real-time mold deflection during injection molding

2. Adaptive online quality control for injection-molding by monitoring and controlling mold separation

3. Optimization of Plastic Injection Molding Process by Combination of Artificial Neural Network and Genetic Algorithm;Meiabadi;Journal of Optimization in Industrial Engineering,2013

4. An Optimization of Shrinkage in Injection Molding Parts by Using Taguchi Method;Radhwan;Journal of Advanced Research in Applied Mechanics,2015

5. Shrinkage behavior and optimization of injection molded parts studied by the taguchi method

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