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The International Journal of Advanced Manufacturing Technology

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31-12-2022 | ORIGINAL ARTICLE

Reconfigured lightweight model design method for DT-based mechatronics equipment

Authors: Yongli Wei, Tianliang Hu, Pengjun Yue, Xin Wang, Songhua Ma

Published in: The International Journal of Advanced Manufacturing Technology | Issue 11/2024

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Abstract

Digital twin (DT) technology, as one of the top strategic technology trends for 2020, has received widespread attention and has gradually been widely used in the smart manufacturing field. DT-based mechatronics equipment emphasizes the timeliness of online simulation decision-making and the promptness of model response. However, the established DT model covering all elements of mechatronics equipment involves multi-domain, multi-scale, and multi-dimensional. If this model is directly used for simulation analysis of specific applications, it will make the solution tedious and complicated and bring a waste of computational resources. Motivated by this need, an application-oriented reconfigured lightweight DT model design method for mechatronics equipment is studied in this paper. The method starts with an application-oriented analysis of the system decomposition, decomposition scheme evaluation, and core module identification criteria. Then, the above criteria are used as a guide to identifying the core system modules for this application, and the core system modules are optimized based on the idea of inheritance. Finally, the optimal system modules are validated and analyzed to ensure that the model-solving efficiency is improved as much as possible without losing this model’s necessary behavioral characteristics and dominant effects. A case study of virtual machining dynamic performance test bench (VM-TB) design scheme validation is carried out to show the implementation flow of the proposed method and verify its operability and effectiveness.

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Title: Reconfigured lightweight model design method for DT-based mechatronics equipment
Authors: Yongli Wei
Tianliang Hu
Pengjun Yue
Xin Wang
Songhua Ma
Publication date: 31-12-2022
Publisher: Springer London
Published in: The International Journal of Advanced Manufacturing Technology / Issue 11/2024
Print ISSN: 0268-3768
Electronic ISSN: 1433-3015
DOI: https://doi.org/10.1007/s00170-022-10707-0

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