The Proceedings of Mechanical Engineering Congress, Japan
Online ISSN : 2424-2667
ISSN-L : 2424-2667
2022
Session ID : J131-11
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Extraction of viscosity feature quantities using an in-mold sensor and evaluation of temperature dependence
*Daisuke YAGIRyotaro SHIMADAHiroki NAKATSUCHIKan KOBAYASHI
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Abstract

Plastic is a material for which resource circulation should be strongly required, and the replacement of virgin materials with recycled materials is accelerating. Controlling the viscosity of molten resin is important during material changes in the injection molding process. In this study, the technology to extract the feature quantities that correlate with resin viscosity by using an in-mold sensor has been developed to expand the application of recycled materials. Several feature quantities were extracted from pressure sensor data. By evaluating the response of those features to changes in the temperature of the molten resin, the integral value of the pressure from the start of injection to the peak time was clarified to have the highest validity. It was confirmed that there was a positive correlation between the selected feature quantity and measured viscosity by a capillary rheometer, and that it represents differences in intrinsic viscosity between resins.

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© 2022 The Japan Society of Mechanical Engineers
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