Study on the GPU-driven mesh generation algorithm for machining simulation

Xian Cao; Wenlei Xiao; Gang Zhao; Lianyu Zheng

doi:10.1117/12.2681295

23 May 2023 Study on the GPU-driven mesh generation algorithm for machining simulation

Xian Cao, Wenlei Xiao, Gang Zhao, Lianyu Zheng

Proceedings Volume 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023); 126453V (2023) https://doi.org/10.1117/12.2681295
Event: International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 2023, Hangzhou, China

Abstract

Machining simulation is often used to verify the rationality of NC (Numerical Control) machining toolpath and is the core function of CAM software. In order to improve computational efficiency, machining simulation algorithm is usually designed based on the discrete geometric model of workpiece, which is widely used in engineering. With the discrete geometric model as input, machining simulation algorithm is difficult to generate real-time changing 3D rendering visualization for workpiece. This paper proposed a GPU-driven mesh generation method for machining simulation. This method improves the traditional conversion method based on Marching Cube algorithm and uses the parallel computing capability of GPU to improve the efficiency of mesh generation. The method proposed in this paper supports real-time user interaction and may also be applied to virtual engraving modeling and digital twin for NC machining.

Citation Download Citation

Xian Cao, Wenlei Xiao, Gang Zhao, and Lianyu Zheng "Study on the GPU-driven mesh generation algorithm for machining simulation", Proc. SPIE 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 126453V (23 May 2023); https://doi.org/10.1117/12.2681295

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