Automated process parameters tuning for an injection moulding machine with soft computing
Author:
Publisher
Zhejiang University Press
Subject
General Engineering
Link
http://link.springer.com/content/pdf/10.1631/jzus.A1000357.pdf
Reference11 articles.
1. Bozdana, A., Eyercolu, O., 2002. Development of an expert system for the determination of injection moulding parameters of thermoplastic materials: EX-PIMM. Journal of Materials Processing Technology, 128(1–3):113–122. [doi:10.1016/S0924-0136(02)00436-3]
2. Chen, M., Tzeng, H., Chen, Y., Chen, S., 2008. The application of fuzzy theory for the control of weld line positions in injection-molded part. ISA transactions, 47(1):119–126. [doi:10.1016/j.isatra.2007.07.001]
3. Chen, W., Tai, P., Wang, M., Deng, W., Chen, C., 2008. A neural network-based approach for dynamic quality prediction in a plastic injection molding process. Expert Systems with Applications, 35(3):843–849. [doi:10.1016/j.eswa.2007.07.037]
4. Chen, Z.B., Turng, L.S., 2005. A review of current developments in process and quality control for injection molding. Advances in Polymer Technology, 24(3):165–182. [doi: 10.1002/adv.20046]
5. He, W., Zhang, Y.F., Lee, K.S., Liu, T.I., 2001. Development of a fuzzy-neuro system for parameter resetting of injection molding. Journal of manufacturing science and engineering, 123(1):110–118. [doi:10.1115/1.1286732]
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