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
Journal metrics at Scopus
Article at Scopus
WOS
Journal metrics at WOS
Article at WOS
category (general)
Computer science
en
Arvutiteadus
et
Engineering
en
Tehnika
et
category (sub)
Computer science. Computer graphics and computer-aided design
en
Arvutiteadus. Arvutigraafika ja arvutipõhine disain
et
Engineering. Industrial and manufacturing engineering
en
Tehnika. Tööstus- ja tootmistehnika
et
Computer science. Computer science applications
en
Arvutiteadus. Arvutiteaduse rakendused
et
Computer science. Software
en
Arvutiteadus. Tarkvara
et
kvartiil
Q2
TTÜ department
mehaanika ja tööstustehnika instituut
language
inglise
Uurimisrühm
Research group of logistics and transport
Smart industry