Simultaneous Pore Detection and Morphological Features Extraction in Laser Powder Bed Fusion with Image Processing
Jiaming Li,
Xiaoxun Zhang,
Fang Ma
et al.
Abstract:Internal pore defects are inevitable during laser powder bed fusion (LPBF), which have a significant impact on the mechanical properties of the parts. Therefore, detecting pores and obtaining their morphology will contribute to the quality of LPBF parts. Currently, supervised models are used for defect image detection, which requires a large amount of LPBF sample data, image labeling, and computing power equipment during the training process, resulting in high detection costs. This study extensively collected … Show more
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