Physics based compressive sensing to enable digital twins of additive manufacturing processes
author
Lu, Yanglong
Ševtšenko, Eduard
Wang, Yan
statement of authorship
Yanglong Lu, Eduard Shevtshenko, Yan Wang
source
Journal of computing and information science in engineering
publisher
American Society of Mechanical Engineers (ASME)
journal volume number month
vol. 21, 3
year of publication
2021
pages
031009, 30 p
url
https://doi.org/10.1115/1.4050377
subject term
monitoorimine
e-keskkond
tootmise planeerimine
tootmine
keyword
process monitoring
digital twins
compressed sensing
physics-based compressive sensing
PDE constrained optimization
computational foundations for additive manufacturing
inverse methods for engineering applications
process modeling for engineering applications
ISSN
1530-9827
notes
Bibliogr.: 62 ref
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
https://www.scopus.com/sourceid/20952
https://www.scopus.com/record/display.uri?eid=2-s2.0-85108012293&origin=inward&txGid=9c913612377f94ee24fb757418d85b32
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=J%20COMPUT%20INF%20SCI%20ENG&year=2022
https://www.webofscience.com/wos/woscc/full-record/WOS:000651510900016
category (general)
Computer science
Arvutiteadus
Engineering
Tehnika
category (sub)
Computer science. Computer graphics and computer-aided design
Arvutiteadus. Arvutigraafika ja arvutipõhine disain
Engineering. Industrial and manufacturing engineering
Tehnika. Tööstus- ja tootmistehnika
Computer science. Computer science applications
Arvutiteadus. Arvutiteaduse rakendused
Computer science. Software
Arvutiteadus. Tarkvara
quartile
Q2
TalTech department
mehaanika ja tööstustehnika instituut
language
inglise
Reserch Group
Research group of logistics and transport
Smart industry