Defect Identification of 316L Stainless Steel in Selective Laser Melting Process Based on Deep Learning
Wei Yang,
Xinji Gan,
Jinqian He
Abstract:In additive manufacturing, such as Selective Laser Melting (SLM), identifying fabrication defects poses a significant challenge. Existing identification algorithms often struggle to meet the precision requirements for defect detection. To accurately identify small-scale defects in SLM, this paper proposes a deep learning model based on the original YOLOv5 network architecture for enhanced defect identification. Specifically, we integrate a small target identification layer into the network to improve the recog… Show more
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