Rapid simplification of 3D geometry model of mechanisms in the digital twins-driven manufacturing system design

Jiewu Leng, Zisheng Lin, Zhiqiang Huang, Ruijun Ye, Qiang Liu () and Xin Chen
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Jiewu Leng: Guangdong University of Technology
Zisheng Lin: Guangdong University of Technology
Zhiqiang Huang: Guangdong University of Technology
Ruijun Ye: Guangdong University of Technology
Qiang Liu: Guangdong University of Technology
Xin Chen: Guangdong University of Technology

Journal of Intelligent Manufacturing, 2024, vol. 35, issue 6, No 17, 2765-2786

Abstract: Abstract With the development of simulation technology, more and more manufacturers have begun to use the digital twin to design workshops and factories. For these design scenarios under real-time interaction requirements with an excessive amount of model data, if the rendering is stuck, it will reduce the work efficiency. It is a key enabling technology to simplify and switch the geometry models with different resolutions, according to the distance of the viewpoint or the motion state to reduce the computational complexity. Existing model simplification methods emphasize the universality and efficiency under various scenarios, while the simplification performance in the 3D geometry models of industrial mechanisms is poor. This paper proposes a rapid simplification approach to the 3D geometry model of mechanisms in the digital twins-driven manufacturing system design context. A novel Vertex Saliency-oriented Classified Edge Collapse (VS-CEC) algorithm is proposed to simplify the shape feature of the 3D geometry model of mechanisms. It especially emphasizes solving the sharp shape preservation issues in the mechanical design scenario rather than a universal things design scenario. A vertex saliency factor is defined and integrated with the region boundary information obtained from the processing of detailed features to ensure visual fidelity as well as shape preservation such as sharp edges. Experiments show that this approach reduces the data model complexity more reasonably to speed up the rendering. It ensures that the digital twin model interacts quickly with the physical manufacturing system, and thus realizes the low-latency visual effect of cyber-physical synchronization.

Keywords: Rapid simplification; 3D geometry model; Digital twin; Quadric error matrices; Manufacturing system design (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10845-023-02178-1

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