Clarifying the Timing of Mold Maintenance in Resin Molding

- Quantification of Gas Burning Conditions -

Abstract

Gas burning that occurs during the resin molding process is fundamentally due to the improper venting of gas. However, finding a solution is extremely difficult as the phenomenon arises from a complex interplay of numerous factors. In the maintenance of molding machines and molds, carrying out regular inspections, replacing parts, cleaning, and maintaining the machine condition are practical and effective measures. During quality control, it is important to perform maintenance at the appropriate timing, but the timing is often determined based on experience and intuition, meaning that there is a lack of clear standards. This paper proposes a method using a deep learning classification model to clarify the timing at which maintenance should be performed based on the perspectives of quality and efficiency. In the proposed method, first, the cosine similarity between images of an initially molded product, which serves as a standard, and images of each subsequent product is calculated. Then, transfer learning of the deep learning model is performed in which classification is performed based on similarity. Finally, fine-tuning is performed. Emphasis is placed on the utilization of a loss function that directly controls the feature values during the fine-tuning.