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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2512.14215 |
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| _version_ | 1866908714594729984 |
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| author | Cao, Gengshou Shaqarin, Tamir Jiang, Zhutao Liu, Yutong Li, Yiqing Gao, Nan He, Xiaozhou Noack, Bernd R. |
| author_facet | Cao, Gengshou Shaqarin, Tamir Jiang, Zhutao Liu, Yutong Li, Yiqing Gao, Nan He, Xiaozhou Noack, Bernd R. |
| contents | Fan array wind generators (FAWG) are designed to generate a rich set of turbulent flows reminiscent of those found in natural environments. In this study, we experimentally investigate a square FAWG consisting of 10x10 individually controllable fans with 4 cm width and a maximum velocity of 17 m/s. The goal is to maximize the turbulence intensity in the test region. Two approaches for fan operation are investigated: first, geometric texturing of the duty cycle distribution, and second, maximization of the turbulence intensity at selected hot-wire sensors with particle-swarm optimization. We find that geometric texturing (specifically a checkerboard pattern) yields a robust, uniform turbulence field (Tu ~ 0.14) driven by jet interactions. Conversely, particle swarm optimization achieves higher local turbulence (Tu ~ 0.28) but significantly sacrifices spatial uniformity. This study underscores the trade-off between local maximization and global uniformity in active turbulence generation. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_14215 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Turbulence enhancement of a fan array wind generator using geometric texturing and optimization-based control Cao, Gengshou Shaqarin, Tamir Jiang, Zhutao Liu, Yutong Li, Yiqing Gao, Nan He, Xiaozhou Noack, Bernd R. Fluid Dynamics Fan array wind generators (FAWG) are designed to generate a rich set of turbulent flows reminiscent of those found in natural environments. In this study, we experimentally investigate a square FAWG consisting of 10x10 individually controllable fans with 4 cm width and a maximum velocity of 17 m/s. The goal is to maximize the turbulence intensity in the test region. Two approaches for fan operation are investigated: first, geometric texturing of the duty cycle distribution, and second, maximization of the turbulence intensity at selected hot-wire sensors with particle-swarm optimization. We find that geometric texturing (specifically a checkerboard pattern) yields a robust, uniform turbulence field (Tu ~ 0.14) driven by jet interactions. Conversely, particle swarm optimization achieves higher local turbulence (Tu ~ 0.28) but significantly sacrifices spatial uniformity. This study underscores the trade-off between local maximization and global uniformity in active turbulence generation. |
| title | Turbulence enhancement of a fan array wind generator using geometric texturing and optimization-based control |
| topic | Fluid Dynamics |
| url | https://arxiv.org/abs/2512.14215 |