Automatic computing framework and implementation for supersonic flow
CSTR:
Author:
Affiliation:

1.School of Aeronautics and Astronautics, Dalian University of Technology, Dalian 116024 , China ; 2.School of Aeronautics and Astronautics, Sun Yat-sen University, Shenzhen 510275 , China ; 3.School of Naval Architecture & Ocean Engineering, Dalian University of Technology, Dalian 116024 , China

Clc Number:

V211.3

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    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.

    Reference
    Related
    Cited by
Get Citation

刘君, 陈洁, 卢俊宇, 等. 全自动超声速流动计算架构及实现[J]. 国防科技大学学报, 2025, 47(1): 83-93.

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:September 23,2022
  • Revised:
  • Adopted:
  • Online: January 20,2025
  • Published:
Article QR Code