Journal Published Online: 19 November 2018
Volume 2, Issue 1

Defect Detection and Monitoring in Metal Additive Manufactured Parts through Deep Learning of Spatially Resolved Acoustic Spectroscopy Signals

CODEN: SSMSCY

Abstract

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Author Information

Williams, Jacob
Computer Science and Engineering Department, University of Nebraska-Lincoln, Lincoln, NE, USA
Dryburgh, Paul
Advanced Component Engineering Laboratory (ACEL), University of Nottingham, England, UK
Clare, Adam
Advanced Component Engineering Laboratory (ACEL), University of Nottingham, England, UK
Rao, Prahalada
Department of Mechanical and Materials Engineering, University of Nebraska-Lincoln, Lincoln, NE, USA
Samal, Ashok
Computer Science and Engineering Department, University of Nebraska-Lincoln, Lincoln, NE, USA
Pages: 23
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Stock #: SSMS20180035
ISSN: 2520-6478
DOI: 10.1520/SSMS20180035