Page 41 - IJAMD-2-2

International Journal of AI for
Materials and Design ML-driven optimization in additive manufacturing

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Figure 3. Process optimizations for polymer 3D printing. (A) Fused deposition modeling printer nozzle with an integrated monitoring system and
corresponding images representing four nozzle height conditions. Reproduced with permission from Jin et al. Copyright © 2020 Wiley. (B) Bioprinting
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platform combined with an anomaly detection system, along with representative images distinguishing normal and anomalous cases. Reproduced
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with permission from Jin et al. Copyright © 2023 American Chemical Society. (C) Digital light processing printer and optimized printed structures.
Reproduced with permission from Wang et al. Copyright © 2024 Taylor & Francis.
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an ML-based approach for real-time anomaly detection interlayer discontinuities and nonuniformities, while data
in bioprinting processes. By employing the ResNeXt-50 augmentation techniques were implemented to enhance
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CNN, the model effectively classified irregularities such as its generalization performance. Experimental results

Volume 2 Issue 2 (2025) 35 doi: 10.36922/IJAMD025130010