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A Method for the Support of the Design for Digital Twin Solution and Its Application on a Gearbox System

Published online by Cambridge University Press:  26 May 2022

Y. Koch ,
S. Husung ,
F. Röhnert ,
A. Mahboob ,
M. G. Frank  and
E. Kirchner
Y. Koch*
Affiliation:
Technical University of Darmstadt, Germany
S. Husung
Affiliation:
Technische Universität Ilmenau, Germany
F. Röhnert
Affiliation:
Technische Universität Ilmenau, Germany
A. Mahboob
Affiliation:
Technische Universität Ilmenau, Germany
M. G. Frank
Affiliation:
Technical University of Darmstadt, Germany
E. Kirchner
Affiliation:
Technical University of Darmstadt, Germany
*
[email protected]

Abstract

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The information from Real Twins are increasingly used to construct Digital Twins. Acquisition of information from the Real Twin or in other words performing measurements on the Real Twin may lead to effects in the working of Real Twin. For instance, the introduction of sensors may impair certain functions of a Real Twin. Therefore, it is important to analyse the effect of any change that is performed on the Real Twin for achieving the Digital Twin. In this paper, a method for Digital Twin solution is presented that address these aspects as well as its use is demonstrated by a case example.

Keywords

design methodsdesign for x (DfX)product developmentdigital twin solutionsensing machine elements
Type
Article
Information
Proceedings of the Design Society , Volume 2: DESIGN2022 , May 2022 , pp. 1609 - 1618
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2022.

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