Research on the evolution method of digital twin parametric model of screw conveyor

Hongyu Li; Xianmin Kang; Afen Xie; Yao Chen; Guangrun Huang

doi:10.1117/12.3005285

25 September 2023 Research on the evolution method of digital twin parametric model of screw conveyor

Hongyu Li, Xianmin Kang, Afen Xie, Yao Chen, Guangrun Huang

Proceedings Volume 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023); 1278845 (2023) https://doi.org/10.1117/12.3005285
Event: Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 2023, Kuala Lumpur, Malaysia

Abstract

Based on the basic concept of digital twin and combined with the optimization idea of feedback iteration, a digital twin parameter model optimization method is proposed, in which three parts are included: parameter model acquisition, parameter model evaluation and parameter model optimization. Taking the electromechanical product shield screw conveyor as an example, the evaluation results of the conveying quality and deformation data obtained from the simulation of the screw shaft are used to determine whether feedback iteration is needed, and the feasibility of the product digital twin model optimization method is completed and verified.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Hongyu Li, Xianmin Kang, Afen Xie, Yao Chen, and Guangrun Huang "Research on the evolution method of digital twin parametric model of screw conveyor", Proc. SPIE 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 1278845 (25 September 2023); https://doi.org/10.1117/12.3005285

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