Analysis of hydrodynamic characteristics of double helix structure under different Reynolds numbers

Zhenhan Chu; Zhaocai Wang; Liulin Yang

doi:10.1117/12.3007007

25 October 2023 Analysis of hydrodynamic characteristics of double helix structure under different Reynolds numbers

Zhenhan Chu, Zhaocai Wang, Liulin Yang

Proceedings Volume 12801, Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023); 128012F (2023) https://doi.org/10.1117/12.3007007
Event: Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023), 2023, Dalian, China

Abstract

In this paper, the winding motion of a double helix structure was simulated using fluent for Re=200 and Re=3900 using the laminar flow model and SST k-ω model respectively. The results show that the drag coefficient of the double helix is reduced by about 23.39% at Re=200 compared to that of the single cylinder, while the drag coefficients of the single cylinder and the double helix are almost identical at Re=3900. In addition, the double helix spreading direction tail vortex changes from large scale vortex to small scale vortex more rapidly at Re=200; the double helix spreading direction tail vortex is Carmen vortex - non-dislodged free shear layer - Carmen vortex respectively from top to bottom at Re=3900. The velocity cloud is symmetrically distributed for Re=3900 when the spiral rotates at 90° and asymmetrically for Re=200. The results of the study can provide some help in the analysis of the winding characteristics of the mesh nodules.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhenhan Chu, Zhaocai Wang, and Liulin Yang "Analysis of hydrodynamic characteristics of double helix structure under different Reynolds numbers", Proc. SPIE 12801, Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023), 128012F (25 October 2023); https://doi.org/10.1117/12.3007007

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KEYWORDS

Numerical simulations

Numerical analysis

Clouds

Simulations

Data modeling

Turbulence

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