Defect detection in selective laser melting technology by acoustic signals with deep belief networks
Defect detection in selective laser melting technology by acoustic signals with deep belief networks
About this item
Full title
Author / Creator
Publisher
London: Springer London
Journal title
Language
English
Formats
Publication information
Publisher
London: Springer London
Subjects
More information
Scope and Contents
Contents
Selective laser melting (SLM) is one of the most important and successfully additive manufacturing processes in 3D metal printing technologies. Critical quality issues such as porosity, surface roughness, crack, and delamination continue to present challenges within SLM-manufactured parts. Monitoring and in-process defect diagnosis are the key to i...
Alternative Titles
Full title
Defect detection in selective laser melting technology by acoustic signals with deep belief networks
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2490864556
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2490864556
Other Identifiers
ISSN
0268-3768
E-ISSN
1433-3015
DOI
10.1007/s00170-018-1728-0
