7 Papers
76 Citations
Min-Wen Wang is an academic researcher from National Kaohsiung University of Applied Sciences. The author has contributed to research in topics: Taguchi methods & Process control. The author has an hindex of 7, co-authored 7 publications.
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Papers
A neural network-based approach for dynamic quality prediction in a plastic injection molding process
TL;DR: Experimental results showed that such a neural network-based quality prediction system for a plastic injection molding process can accurately predict the product quality (weight) and can likely be used for various practical applications.
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A Knowledge-Based Engineering System for Assembly Sequence Planning
TL;DR: The results show that the proposed KBE system can facilitate feasible assembly sequences and allow designers to recognize contact relationships, assembly difficulties, and assembly constraints of three-dimensional components in a virtual environment type.
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An optimization system for LED lens design
TL;DR: This study proposed a two-stage LED lens design optimization system, and used the viewing angle and the luminance uniformity as the optical quality objective and the Genetic Algorithm with the quality predictor to find the optimum design parameter combination of overall size according to the required quality objective.
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An integrated parameter optimization system for MISO plastic injection molding
TL;DR: In this article, a parameter optimization system that integrates mold flow analysis, the Taguchi method, analysis of variance (ANOVA), back-propagation neural networks (BPNNs), genetic algorithms (GAs), and the Davidon-Fenton-Powell (DFP) method to generate optimal process parameter settings for multiple-input single-output plastic injection molding is presented.
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Microceramic injection molding of a multilayer micropatterned micropart
TL;DR: In this paper, a multilayer micropart with zirconia (ZrO2) feedstock was developed and applied to develop a multi-exposure multi-development UV-Lithographie, Galvanoformung, Abformung (LIGA), µCIM, variothermal temperature control, and Taguchi experimental method are integrated and applied.
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