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Injection molding manufacturing process: review of case-based reasoning applications

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Abstract

Although manufacturing technology has been developing rapidly, injection molding is still widely used for fabricating plastic parts with complex geometries and precise dimensions. Since the occurrence of faults in injection molding is inevitable, process optimization is desirable. Artificial intelligence (AI) methods are being successfully used for optimization in different branches of science and technology. In this paper, we review the application of one such method, case-based reasoning (CBR), to injection molding. CBR is an AI approach for knowledge representation and manipulation which considers successful solutions of past problems that are likely to serve as candidate solutions for a given problem. This method is being used increasingly in academic and industrial applications. Here, we review CBR systems that are used in injection molding for different purposes, such as process design, processing parameters, fault diagnose, and enhancement of quality control. In addition, we discuss trends for utilization of CBR in different phases of injection molding. The most significant challenges associated with application of CBR to injection molding are also discussed. Finally, the review is concluded by contemplating on some open research areas and future prospects.

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Authors and Affiliations

  1. Chair of Solid Mechanics, University of Siegen, Paul-Bonatz-Str. 9-11, 57068, Siegen, Germany

    Mohammad Reza Khosravani

  2. Department of Electrical Engineering and Computer Science, University of Siegen, Hölderlinstr. 3, 57076, Siegen, Germany

    Sara Nasiri

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  1. Mohammad Reza Khosravani
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  2. Sara Nasiri
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Correspondence to Mohammad Reza Khosravani.

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Khosravani, M.R., Nasiri, S. Injection molding manufacturing process: review of case-based reasoning applications. J Intell Manuf 31, 847–864 (2020). https://doi.org/10.1007/s10845-019-01481-0

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