Measurement of laser-based powder bed fusion surfaces using light scattering and one-class support vector machines

Mingyu Liu; Nicola Senin; Richard Leach

doi:10.1117/12.2621172

20 May 2022 Measurement of laser-based powder bed fusion surfaces using light scattering and one-class support vector machines

Mingyu Liu, Nicola Senin, Richard Leach

Author Affiliations +

Proceedings Volume 12137, Optics and Photonics for Advanced Dimensional Metrology II; 1213706 (2022) https://doi.org/10.1117/12.2621172
Event: SPIE Photonics Europe, 2022, Strasbourg, France

Abstract

Measurement of laser-based powder bed fusion (PBF-LB) surfaces provides a promising solution for closed-loop quality control of the final parts. This paper presents a light scattering method to measure PBF-LB surfaces combined with oneclass support vector machines (SVMs) for anomaly (defect) detection during the manufacturing process. With the oneclass SVM method, datasets from solely reference (acceptable) surfaces are used to fit a classification model. Experimental results show that the method is fast and has higher accuracy than our previous work, which is promising for integration into next-generation PBF-LB machines for process quality monitoring.

Conference Presentation

Citation Download Citation

Mingyu Liu, Nicola Senin, and Richard Leach "Measurement of laser-based powder bed fusion surfaces using light scattering and one-class support vector machines", Proc. SPIE 12137, Optics and Photonics for Advanced Dimensional Metrology II, 1213706 (20 May 2022); https://doi.org/10.1117/12.2621172

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