Optimization of Resin Molding Process by Functional Evaluation Method Focusing on Melting Energy Related to Resin Filling Characteristics

  • Eiji TOMA National Institute of Technology, Tomakomai College
  • Hiroshi TANAKA Aichi Institute of Technology
  • Shinichi Ikeda National Institute of Tech- nology, Tomakomai College


In recent years, along with the increasing demand for plastic products and the deepening of academics, mass production, weight reduction, and higher precision are progressing. In the field of design development and production technology, there is an increasing need for analysis technology related to resin flow and behavior in order to solve problems related to quality assurance such as molding defects and product strength. Especially in the resin molding process, it is an important issue to create a quality function that applies the analysis of complex multidimensional information because of the high degree of freedom in product shape and mold structure. In order to solve the quality issues regarding the strength and dimensional stability of resin materials, it is effective to apply the “Functionality Evaluation Method” in robust design which is an analytical evaluation method. In this study, we focus on the function of managing the resin filling density in the mold (the input/output relationship of the melting energy related to the resin filling characteristics) for the optimization of resin strength and dimensional stability. We propose a functional evaluation method with the ideal function of stabilizing the resin filling density based on the original definition of material mechanics. As a result of verification of the proposed method, it was clarified that it is extremely important to make the resin filling density in the mold uniform to stabilize the strength of the resin injection molded product.


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How to Cite
TOMA, E., TANAKA, H., & Ikeda, S. (2020). Optimization of Resin Molding Process by Functional Evaluation Method Focusing on Melting Energy Related to Resin Filling Characteristics. Journal of the Institute of Industrial Applications Engineers, 8(4), 122. https://doi.org/10.12792/jiiae.8.122