Heterogeneous sensor data fusion for multiscale, shape agnostic flaw detection in laser powder bed fusion additive manufacturing-Reference-Cited by-同舟云学术

Heterogeneous sensor data fusion for multiscale, shape agnostic flaw detection in laser powder bed fusion additive manufacturing

Author:

Bevans Benjamin¹,Barrett Christopher²,Spears Thomas²,Gaikwad Aniruddha³,Riensche Alex¹,Smoqi Ziyad³,Halliday Harold (Scott)⁴,Rao Prahalada¹

Affiliation:

1. Industrial and Systems Engineering, Virginia Polytechnical Institute, Blacksburg, VA, USA

2. Open Additive, LLC, Beavercreek, OH, USA

3. Mechanical and Materials Engineering, University of Nebraska-Lincoln, Lincoln, NE, USA

4. Center for Advanced Manufacturing, Navajo Technical University, Crownpoint, NM, USA

Funder

National Science Foundation

CMMI

ECCS

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Computer Graphics and Computer-Aided Design,Modeling and Simulation,Signal Processing

Link

Reference62 articles.

3. Chung, F. R. 1997. Spectral Graph Theory. Fresno California: American Mathematical Society.

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