IntroductionĬentrifugal pump has strong rotation and large curvature, which usually requires a large-scale mesh of hundreds of millions of scales to reveal the complex turbulent flow. The double-vortex structure which is obtained by PIV experiment is captured by the large-scale mesh.
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The proposed algorithm not only ensures high grid quality with the serial grid algorithm but also accurately simulates the flow law in the centrifugal pump. The results show that the algorithm can generate 10 8 3D unstructured grid elements in 5 minutes, and the parallel efficiency can achieve 80%. PIV (particle image velocimetry) internal flow experiment is comparatively analyzed with the numerical simulation of large-scale mesh. Finally, the centrifugal pump is tested for verifying the parallel mesh algorithm in the Tianhe-2 supercomputer. In addition, in order to ensure the consistency of the interface mesh and to avoid the boundary mesh intersection overlap error, a parallel constrained Delaunay mesh generation algorithm based on region numbering is proposed, which can improve the quality and efficiency of the generated parallel mesh. A uniform boundary mesh is generated and is divided into different subregions. Then, the S-H (Sutherland–Hodgman) algorithm for cropping and segmenting these grid point sets on the surface is employed. First, a grid point set for the 3D Delaunay triangular mesh on the surface of the centrifugal pump is generated. A large-scale parallel mesh generation algorithm of a centrifugal pump for high-performance computers is presented in this paper. However, the mesh generated by the serial grid algorithm cannot meet the calculation requirements due to the huge amount of time. In order to reveal the details of the internal flow in a centrifugal pump, a large-scale mesh is needed.
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