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Publishing Language: Chinese | Open Access

Automatic computing framework and implementation for supersonic flow

Jun LIU1( )Jie CHEN1Junyu LU2Ji WANG3Chunguang XU2
School of Aeronautics and Astronautics, Dalian University of Technology, Dalian 116024, China
School of Aeronautics and Astronautics, Sun Yat-sen University, Shenzhen 510275, China
School of Naval Architecture & Ocean Engineering, Dalian University of Technology, Dalian 116024, China
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Abstract

The process of grid generation and flow field simulation in CFD calculation can be automated to enhance the efficiency of CFD simulation, which has a great potential for applications. An Auto-CFD technology framework based on the tie-dye algorithm which can generate grids automatically and initiate inviscid supersonic flow field calculation quickly without geometry clean-up after inputting solid models. A 2D numerical example verifies that the calculation accuracy of this technology is comparable to that of the unstructured finite volume method, but with a significant improvement in calculation efficiency. An Auto-CFD software that can start the calculation in real time based on hand-drawn models was developed in theory, which can automatically simulate any two-dimensional irregular shape. The Auto-CFD technology was also extended from 2D to 3D space, and the irregular point cloud obtained by laser scanning the car was used as the solid model to demonstrate the adaptability of this technology to complex shape problems. The Auto-CFD technology framework developed based on the tie-dye algorithm is compatible with mainstream difference schemes and has good mesh adaptability, which is expected to solve the technical problems existing in existing Auto-CFD software.

CLC number: V211.3 Document code: A Article ID: 1001-2486(2025)01-083-11

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Journal of National University of Defense Technology
Pages 83-93

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Cite this article:
LIU J, CHEN J, LU J, et al. Automatic computing framework and implementation for supersonic flow. Journal of National University of Defense Technology, 2025, 47(1): 83-93. https://doi.org/10.11887/j.cn.202501008

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Received: 23 September 2022
Published: 28 February 2025
© 2025 Journal of National University of Defense Technology

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).