Anomaly detection and classification in a laser powder bed additive manufacturing process using a trained computer vision algorithm-Reference-Cited by-同舟云学术

Anomaly detection and classification in a laser powder bed additive manufacturing process using a trained computer vision algorithm

Published:2018-01 Issue: Volume:19 Page:114-126
ISSN:2214-8604
Container-title:Additive Manufacturing
language:en
Short-container-title:Additive Manufacturing

Author:

Scime Luke,Beuth Jack

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Engineering (miscellaneous),General Materials Science,Biomedical Engineering

Reference37 articles.

1. Roadmap for additive manufacturing: identifying the future of freeform processing;Bourell,2009

2. Electron beam freeform fabrication for cost effective near-net shape manufacturing;Taminger;NATO/RTOAVT-139 Specialist’s Metting on Cost Effective Manufacturing via Net Shape Processing,2006

3. U.S. Navy, Shipboard additive manufacturing (AM)/3D printing SBIR 2016.1 − N161-038, 2016. http://www.navysbir.com/n16_1/N161-038.htm (Accessed 01, January 2016).

4. In-process sensing in selective laser melting (SLM) additive manufacturing;Spears;Integr. Mater. Manuf. Innov.,2016

5. A review on process monitoring and control in metal-based additive manufacturing;Tapia;J. Manuf. Sci. Eng.,2014

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