Volume 40 Issue 9
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CHEN Feitong, WANG Xuede. N-S/DSMC coupling method using three-dimensional unstructured mesh for complex interfaces[J]. Journal of Aerospace Power, 2025, 40(9):20240329 doi: 10.13224/j.cnki.jasp.20240329
Citation: CHEN Feitong, WANG Xuede. N-S/DSMC coupling method using three-dimensional unstructured mesh for complex interfaces[J]. Journal of Aerospace Power, 2025, 40(9):20240329 doi: 10.13224/j.cnki.jasp.20240329

N-S/DSMC coupling method using three-dimensional unstructured mesh for complex interfaces

doi: 10.13224/j.cnki.jasp.20240329
  • Received Date: 2024-05-21
    Available Online: 2025-01-09
  • In view of the highly conformable and adaptive nature of unstructured mesh to complex geometries and the demand in engineering for efficient and versatile computational methods, a new implementation of the N-S (Navier-Stokes)/DSMC (direct simulation Monte Carlo) coupling method using tetrahedral unstructured mesh for complex interfaces was presented with the aim of resolving the fluctuations in the positioning of the coupling interfaces in most N-S/DSMC coupling method for multi-scale transitional flows in the near-continuum regime. This implementation utilized local Knudsen number as a continuum breakdown parameter to partition the continuum/rarefied regions and generate three-dimensional complex N-S/DSMC coupling interfaces. Along each side of the interface, one or multiple layers of interface information transfer meshes were advanced, and information coupling was achieved by the state-based approach. According to this method, there was no need for smoothing or reshaping treatments applied to complex irregular interfaces, with the general applicability to numerical simulations of complex transitional flow regions. Simulations of three-dimensional hypersonic flow around a sphere and a blunt cone showed that, compared with the DSMC method, the shock wave and wall characteristics were in close agreement, with a maximum error of less than 8%. At the same time, computational efficiency was improved by 1.74 and 2.28 times, respectively, validating the method’s accuracy and efficiency.

     

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