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arXiv · 2305.16866

Automation of Trimming Die Design Inspection by Zigzag Process Between AI and CAD Domains

Jinsub Lee·Tae-Hyun Kim·Sang-Hwan Jeon·Sung-Hyun Park·Sang-Hi Kim·Eun-Ho Lee·Jee-Hyong Lee
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Abstract

Quality control in the manufacturing industry has improved with the use of artificial intelligence (AI). However, the manual inspection of trimming die designs, which is time-consuming and prone to errors, is still done by engineers. This study introduces an automatic design inspection system for automobile trimming dies by integrating AI modules and computer-aided design (CAD) software. The AI modules replace engineers' judgment, and the CAD software carries out operations requested by the AI modules. The inspection process involves a zigzag interaction between the AI modules and CAD software, enabling one-click operation without expert intervention. The AI modules are CAD-independent and data-efficient, making them adaptable to other CAD software. They achieve high performance even with limited training data, with an average length measurement error of only 2.4%. The inspection time is reduced to approximately one-fifth of the time required for manual inspection by experts.

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Jinsub Lee, Tae-Hyun Kim, Sang-Hwan Jeon, Sung-Hyun Park, Sang-Hi Kim, Eun-Ho Lee, Jee-Hyong Lee. 2023-05-26. Automation of Trimming Die Design Inspection by Zigzag Process Between AI and CAD Domains. https://arxiv.org/abs/2305.16866

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