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Intelligent methods for the process parameter determination of plastic injection molding

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Abstract

Injection molding is one of the most widely used material processing methods in producing plastic products with complex geometries and high precision. The determination of process parameters is important in obtaining qualified products and maintaining product quality. This article reviews the recent studies and developments of the intelligent methods applied in the process parameter determination of injection molding. These intelligent methods are classified into three categories: Case-based reasoning methods, expert system- based methods, and data fitting and optimization methods. A framework of process parameter determination is proposed after comprehensive discussions. Finally, the conclusions and future research topics are discussed.

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Acknowledgements

The authors would like to acknowledge the financial support from the National Natural Science Foundation of China (Grant Nos. 51675199 and 51635006) and the National Program on Key Basic Research Project (Grant No. 2013CB035805).

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  1. State Key Laboratory of Material Processing and Die & Mould Technology, Huazhong University of Science and Technology, Wuhan, 430074, China

    Huang Gao, Yun Zhang, Xundao Zhou & Dequn Li

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  1. Huang Gao
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Correspondence to Dequn Li.

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Gao, H., Zhang, Y., Zhou, X. et al. Intelligent methods for the process parameter determination of plastic injection molding. Front. Mech. Eng. 13, 85–95 (2018). https://doi.org/10.1007/s11465-018-0491-0

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