Digital Twin to Digital Triplet: Machine Learning, Additive Manufacturing and Computational Fluid Dynamics Simulations

Masahiro Furuya*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In general, digital twin refers to a digital replica of physical process or systems. We have proposed the digital twin concept of a mother design for twin children (experiment and simulation) with a help of the additive manufacturing technology. Moreover, the digital triplet concept to derive the regressive and well-correlated design on the basis of knowledge and experiences with a help of machine learning and statistics. The paper addresses our developed technologies of powder production, powder metallurgy, three-dimensional modelling, additive manufacturing to expand material variations for broadening the application of additive manufacturing. Devised additive-manufacturing method is devoted for complex structures with scalable measurement and control systems, including wide variety of thermal-hydraulic applications together with computational multi-fluid dynamic simulations in terms of the nuclear safety.

Original languageEnglish
Title of host publication8th Annual International Seminar on Trends in Science and Science Education, AISTSSE 2021
EditorsFauziyah Harahap, Jamalum Purba, Ani Sutiani, Moondra Zubir, Said Iskandar Al Idrus
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735442566
DOIs
Publication statusPublished - 2022 Nov 29
Event8th Annual International Seminar on Trends in Science and Science Education, AISTSSE 2021 - Medan, Indonesia
Duration: 2021 Nov 3 → …

Publication series

NameAIP Conference Proceedings
Volume2659
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference8th Annual International Seminar on Trends in Science and Science Education, AISTSSE 2021
Country/TerritoryIndonesia
CityMedan
Period21/11/3 → …

ASJC Scopus subject areas

  • Physics and Astronomy(all)

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