Online quality inspection using Bayesian classification in powder-bed additive manufacturing from high-resolution visual camera images

Author:

Aminzadeh MasoumehORCID,Kurfess Thomas R.

Funder

Edison Welding Institute

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering,Software

Reference35 articles.

1. Aminzadeh, M., & Kurfess, T. (2015a). In-situ monitoring of dimensional accuracy in additive manufacturing by layerwise detection of geometric errors. In Proceedings of the ASPE spring topical meetings. American Society of Precision Engineering.

2. Aminzadeh, M., & Kurfess, T. (2015b). Layerwise automated visual inspection in laser powder-bed additive manufacturing. In ASME 2015 international manufacturing science and engineering conference (pp. V002T004A011-V002T004A011). American Society of Mechanical Engineers.

3. Aminzadeh, M., & Kurfess, T. (2016a). Vision-based inspection system for dimensional accuracy in powder-bed additive manufacturing. In ASME 2016 international manufacturing science and engineering conference. American Society of Mechanical Engineers.

4. Aminzadeh, M. & Kurfess, T. (2016b). In-situ quality inspection of laser powder-bed fusion using high-resolution visual camera images. In Paper presented at the solid freeform fabrication 2016: Proceedings of the 26th annual international solid freeform fabrication symposium—an additive manufacturing conference.

5. Bayle, F., & Doubenskaia, M. (2008). Selective laser melting process monitoring with high speed infra-red camera and pyrometer. Fundamentals of Laser Assisted Micro- and Nanotechnologies, 6985, 98505–98505. https://doi.org/10.1117/12.786940 .

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