2020年9月
Digital Twin of Artifact Systems: Models Assimilated with Monitoring Data from Material Microstructures to Social Systems
INTERNATIONAL JOURNAL OF AUTOMATION TECHNOLOGY
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- 巻
- 14
- 号
- 5
- 開始ページ
- 700
- 終了ページ
- 712
- 記述言語
- 英語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.20965/ijat.2020.p0700
- 出版者・発行元
- FUJI TECHNOLOGY PRESS LTD
In contemporary society, where changes in the environment surrounding artifacts as well as changes in the purpose and operating conditions of artifacts occur frequently, it is necessary to equip artifacts with resilience and plasticity, and to incorporate this knowledge in the succeeding generation of artifacts. For this purpose, we propose digital twin of artifact systems (DTAS) that focuses on structural materials, from their microstructure to the environment and social systems in which the artifacts are used. The realization of DTAS requires the development of modelling and monitoring technologies from the atomic scale to the social system, the development of technologies to operate these technologies in multiscale in an integrated way, and the development of technologies for model uncertainty assessment. In the future, the information on models and monitoring of artifact systems stored in DTAS is expected to be shared and utilized not only by designers but also among various stakeholders, contributing to the realization of a framework for cocreative development and consensus building through interaction between designers and users.
- リンク情報
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- DOI
- https://doi.org/10.20965/ijat.2020.p0700
- Web of Science
- https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000566810300004&DestApp=WOS_CPL
- Scopus
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85090958599&origin=inward
- Scopus Citedby
- https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85090958599&origin=inward
- URL
- https://www.fujipress.jp/main/wp-content/themes/Fujipress/phyosetsu.php?ppno=IJATE001400050003
- ID情報
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- DOI : 10.20965/ijat.2020.p0700
- ISSN : 1881-7629
- eISSN : 1883-8022
- SCOPUS ID : 85090958599
- Web of Science ID : WOS:000566810300004