4.6 Article

A construction method of digital twin model for contact characteristics of assembly interface

Journal

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
Volume 113, Issue 9-10, Pages 2685-2699

Publisher

SPRINGER LONDON LTD
DOI: 10.1007/s00170-021-06751-x

Keywords

Assembly interface; Contact characteristics; Digital twin; Thin-layer elements

Funding

  1. National Natural Science Foundation of China [52005081]

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This paper studies the accurate modeling of assembly interface and updates of the digital twin model, proposing a method based on virtual thin-layer elements. It achieves dynamic updating and performance analysis, demonstrating higher accuracy than traditional methods.
The paper aims to study the accurate modeling of the assembly interface and the update of the digital twin model to keep the consistency of physical and digital information. It purposes a construction method of the digital twin model of assembly interface contact characteristics, based on the interface virtual thin-layer element with nonuniform and replaceable attribute parameters. Firstly, the general framework of the digital twin model of assembly interface contact characteristics is given. Secondly, the typical assembly interface characteristics are analyzed. Aiming at the precise modeling of the assembly interface, the interface gradient virtual material thin-layer element is developed by integrating the measured data. Based on the surrogate model and genetic algorithm, the real-time assimilation and fusion of test data and simulation data are carried out. The thin-layer element parameters are optimized, and the dynamic updating of the assembly digital twin model is realized. Finally, the twin data model is applied to the dynamic performance analysis of the machining center and compared with the Takashi Yoshimura method. The results show that the analysis results of the twin data model are in good agreement with the test data, and the analysis accuracy is higher than that of the Takashi Yoshimura method, which verifies the feasibility of the digital twin model modeling method for assembly contact characteristics. The twin data model of contact characteristics can be extended and used to predict the mechanical performance of multiple joint structures in real time.

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