Computer Modeling for Injection Molding: Simulation, by Huamin Zhou

By Huamin Zhou

This e-book covers a variety of functions and makes use of of simulation and modeling thoughts in polymer injection molding, filling a obvious hole within the literature of layout, production, and using plastics injection molding. The authors aid readers clear up difficulties within the complicated keep an eye on, simulation, tracking, and optimization of injection molding strategies. The e-book offers a device for researchers and engineers to calculate the mildew filling, optimization of processing regulate, and caliber estimation earlier than prototype molding.Content:
Chapter 1 advent (pages 1–24): Huamin Zhou
Chapter 2 history (pages 25–47): Huamin Zhou
Chapter three Mathematical types for the Filling and Packing Simulation (pages 49–70): Huamin Zhou, Zixiang Hu and Dequn Li
Chapter four Numerical Implementation for the Filling and Packing Simulation (pages 71–128): Huamin Zhou, Zixiang Hu, Yun Zhang and Dequn Li
Chapter five Cooling Simulation (pages 129–156): Yun Zhang and Huamin Zhou
Chapter 6 Residual tension and Warpage Simulation (pages 157–193): Fen Liu, Lin Deng and Huamin Zhou
Chapter 7 Microstructure and Morphology Simulation (pages 195–236): Huamin Zhou, Fen Liu and Peng Zhao
Chapter eight improvement and alertness of Simulation software program (pages 237–254): Zhigao Huang, Zixiang Hu and Huamin Zhou
Chapter nine Noniterative Optimization tools (pages 255–282): Peng Zhao, Yuehua Gao, Huamin Zhou and Lih?Sheng Turng
Chapter 10 clever Optimization Algorithms (pages 283–292): Yuehua Gao, Peng Zhao, Lih?Sheng Turng and Huamin Zhou
Chapter eleven Optimization tools in response to Surrogate types (pages 293–312): Yuehua Gao, Lih?Sheng Turng, Peng Zhao and Huamin Zhou
Chapter 12 suggestions keep watch over (pages 313–337): Yi Yang and Furong Gao
Chapter thirteen studying keep watch over (pages 339–353): Yi Yang and Furong Gao
Chapter 14 Multivariate Statistical method keep watch over (pages 355–375): Yuan Yao and Furong Gao
Chapter 15 Direct qc (pages 377–389): Yi Yang and Furong Gao

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Extra info for Computer Modeling for Injection Molding: Simulation, Optimization, and Control

Example text

119 Tan and Yuen120 proposed a fuzzy multipleobjective approach to set up the process for minimizing injection molding defects. In their study, the defects were expressed by a scale number through fuzzy functions. The relationship between the severities of the defects and the machine variables was approximated by a set of quadratic polynomials via regression analysis. Chiang and Chang121 applied a gray-fuzzy logic approach for the optimization of machining parameters to an injection-molded part with a thin shell feature.

Modern Plastics, 1960. 38(4): 117–120. 12. , Numerical simulation of injection mold filling. Polymer Engineering and Science, 1970. 10(4): 209–214. 13. , Mold-filling studies for the injection molding of thermoplastic materials. Part II: The transient flow of plastic materials in the cavities of injectionmolding dies. Polymer Engineering and Science, 1975. 15(8): 569–582. 14. , Mold-filling studies for the injection molding of thermoplastic materials. Part I: The flow of plastic materials in hot- and cold-walled circular channels.

111. 112. 113. 114. 115. 21 Conference Proceedings. 1996, Indianapolis, Indiana, USA: Society of Plastic Engineers. 537–543. , A BP-neural network predictor model for plastic injection molding process. Journal of Materials Processing Technology, 2000. 103(3): 411–416. , Automated process parameter resetting for injection moulding: A fuzzy-neuro approach. Journal of Intelligent Manufacturing, 1998. 9(1): 17–27. , Control of properties in injection molding by neural networks. Engineering Applications of Artificial Intelligence, 2001.

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