Author:
Fukushima Yoshio, ,Kawada Naoki
Abstract
Based on the rapid advancement of IoT technology, it has become pervasive in various industries for promoting effective production, including the plastic injection molding industry. In this study, a fundamental investigation of mold deformation was conducted to develop a monitoring system. Mahalanobis distance (MD), which is calculated from mold strain data, was adopted in this monitoring system. We determined that the simple MD index is helpful for judging between normal and abnormal mold states. This index is expected to be a key component of future IoT applications.
Publisher
Fuji Technology Press Ltd.
Subject
Industrial and Manufacturing Engineering,Mechanical Engineering
Reference21 articles.
1. Cabinet office government of Japan, “Outline of the Fifth Science and Technology Basic Plan.” https://www8.cao.go.jp/cstp/english/basic/5thbasicplan_outline.pdf [Accessed April 16, 2020]
2. T. Naganuma and K. Hashimoto, “Estimation of operation mode from the clamping force variation of injection molding machine,” Trans. of the JSME, Vol.84, No.857, 17-00417, 2018 (in Japanese).
3. T. Naganuma and K. Hashimoto, “Anomaly detection of the injection molding clamping unit,” Trans. of the JSME, Vol.85, No.851, 18-00258, 2019 (in Japanese).
4. T. Naganuma and K. Hashimoto, “Anomaly detection of injection molding machine using mold clamping force changes,” J. of the Japan Society of Polymer Processing, Vol.32, No.4, pp. 134-137, 2020 (in Japanese).
5. S. Otobe, M. Urano, K. Oizumi, T. Hayashi, A. Ishigami, C. Natthapong, and H. Ito, “Development of “Expertized AI” and “IoT-Based Mold” in mold manufacturing SME,” J. of the Japan Society of Polymer Processing, Vol.31, No.12, pp. 452-455, 2019 (in Japanese).
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