Digital twins in mechanical and aerospace engineering.
Journal
Nature computational science
ISSN: 2662-8457
Titre abrégé: Nat Comput Sci
Pays: United States
ID NLM: 101775476
Informations de publication
Date de publication:
Mar 2024
Mar 2024
Historique:
received:
22
01
2024
accepted:
20
02
2024
medline:
27
3
2024
pubmed:
27
3
2024
entrez:
27
3
2024
Statut:
ppublish
Résumé
Digital twins bring value to mechanical and aerospace systems by speeding up development, reducing risk, predicting issues and reducing sustainment costs. Realizing these benefits at scale requires a structured and intentional approach to digital twin conception, design, development, operation and sustainment. To bring maximal value, a digital twin does not need to be an exquisite virtual replica but instead must be envisioned to be fit for purpose, where the determination of fitness depends on the capability needs and the cost-benefit trade-offs.
Identifiants
pubmed: 38532138
doi: 10.1038/s43588-024-00613-8
pii: 10.1038/s43588-024-00613-8
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
178-183Subventions
Organisme : U.S. Department of Energy (DOE)
ID : DE-SC0021239
Organisme : United States Department of Defense | United States Air Force | AFMC | Air Force Office of Scientific Research (AF Office of Scientific Research)
ID : FA9550-21-1-0084
Organisme : United States Department of Defense | United States Air Force | AFMC | Air Force Office of Scientific Research (AF Office of Scientific Research)
ID : FA9550-22-1-0419
Informations de copyright
© 2024. Springer Nature America, Inc.
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