Automotive press manufacturing

Japanese

Chinese

Research Topic: AI-Based Automotive Press Manufacturing Technology

In automotive production, the press process, which is part of the manufacturing workflow, uses press machinery to shape steel sheets into parts. However, a major issue arises when defects occur due to variations in production conditions during the pressing of steel sheets. To address this problem, product sampling inspections are commonly conducted, but performing quality checks on all products remains a challenge.
This research has focused on developing a method for diagnosing anomalies in the shaped steel sheets by utilizing pressure sensors, which are standardly installed in press machines. Among these methods, frequency analysis of pressure signals using a 1D Convolutional Neural Network (CNN) has demonstrated high-precision diagnostic results. Additionally, as a new sensor, a camera has been integrated into the press machine to capture images, and a diagnostic method using an Autoencoder, focusing on the flow of the steel sheet after shaping, has been proposed. The effectiveness of this approach has been verified using actual data.