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Title: Layer-wise anomaly detection and classification for powder bed additive manufacturing processes: A machine-agnostic algorithm for real-time pixel-wise semantic segmentation

Journal Article · · Additive Manufacturing

Not Available

Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE); USDOE Office of Nuclear Energy (NE)
Grant/Contract Number:
AC05-00OR22725
OSTI ID:
1638745
Journal Information:
Additive Manufacturing, Journal Name: Additive Manufacturing Journal Issue: C Vol. 36; ISSN 2214-8604
Publisher:
ElsevierCopyright Statement
Country of Publication:
Netherlands
Language:
English

References (4)

Economics of additive manufacturing for end-usable metal parts journal February 2012
ImageNet Large Scale Visual Recognition Challenge journal April 2015
Laser powder-bed fusion additive manufacturing: Physics of complex melt flow and formation mechanisms of pores, spatter, and denudation zones journal April 2016
Deep learning journal May 2015