Using image data for Quality Assurance in Additive Manufacturing

Abstract

Additive Manufacturing (AM) processes currently suffer from high failure rates, which can amount to immense danger when the AM parts are incorporated in complex systems used by the public, i.e. cars, airplanes, or construction. Most current AM Quality Assurance (QA) methods are conducted post production, though ultrasonic testing may also be conducted while… (More)

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Cite this paper

@article{Forbes2017UsingID, title={Using image data for Quality Assurance in Additive Manufacturing}, author={Victoria Forbes and J. Andr{\'e}s {\'A}lvarez and Raad M. Califa and Samuel J. Ezersky and Guny Alain Lucana Quiroz and Kevin Zeng and Gregory C. Lewin}, journal={2017 Systems and Information Engineering Design Symposium (SIEDS)}, year={2017}, pages={225-230} }