Page 49 - IJAMD-2-2
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International Journal of AI for
Materials and Design ML-driven optimization in additive manufacturing
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Figure 6. Process monitoring for melt pool detection. (A) In situ process development pipeline using high-speed imaging to capture molten pool dynamics,
classify defects, and generate variability maps for process stability assessment. Reproduced with permission from Guirguis et al. Copyright © 2024
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Springer Nature. (B) You Only Look Once (YOLO) architecture integrating an additional segmentation branch for simultaneous object detection and
segmentation. Reproduced with permission from Asadi et al. Copyright © 2024 Elsevier.
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Volume 2 Issue 2 (2025) 43 doi: 10.36922/IJAMD025130010
