論文

査読有り
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
  • Taira Okita
  • ,
  • Tomoya Kawabata
  • ,
  • Hideaki Murayama
  • ,
  • Nariaki Nishino
  • ,
  • Masaatsu Aichi

14
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
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
  • DOI : 10.20965/ijat.2020.p0700
  • ISSN : 1881-7629
  • eISSN : 1883-8022
  • SCOPUS ID : 85090958599
  • Web of Science ID : WOS:000566810300004

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