Noise Reduction Effect of Superhydrophobic Surfaces with Streamwise Strip of Channel Flow
Superhydrophobic surface is a promising technology, but the effect of superhydrophobic surface on flow noise is still unclear. Therefore, we used alternating free-slip and no-slip boundary conditions to study the flow noise of superhydrophobic channel flows with streamwise strips. The numerical calc...
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MDPI AG
2021-04-01
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author | Chen Niu Yongwei Liu Dejiang Shang Chao Zhang |
author_facet | Chen Niu Yongwei Liu Dejiang Shang Chao Zhang |
author_sort | Chen Niu |
collection | DOAJ |
description | Superhydrophobic surface is a promising technology, but the effect of superhydrophobic surface on flow noise is still unclear. Therefore, we used alternating free-slip and no-slip boundary conditions to study the flow noise of superhydrophobic channel flows with streamwise strips. The numerical calculations of the flow and the sound field have been carried out by the methods of large eddy simulation (LES) and Lighthill analogy, respectively. Under a constant pressure gradient (CPG) condition, the average Reynolds number and the friction Reynolds number are approximately set to 4200 and 180, respectively. The influence on noise of different gas fractions (GF) and strip number in a spanwise period on channel flow have been studied. Our results show that the superhydrophobic surface has noise reduction effect in some cases. Under CPG conditions, the increase in GF increases the bulk velocity and weakens the noise reduction effect. Otherwise, the increase in strip number enhances the lateral energy exchange of the superhydrophobic surface, and results in more transverse vortices and attenuates the noise reduction effect. In our results, the best noise reduction effect is obtained as 10.7 dB under the scenario of the strip number is 4 and GF is 0.5. The best drag reduction effect is 32%, and the result is obtained under the scenario of GF is 0.8 and strip number is 1. In summary, the choice of GF and the number of strips is comprehensively considered to guarantee the performance of drag reduction and noise reduction in this work. |
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spelling | doaj.art-d58992306fb74c30a4b13e27c3566a3e2023-11-21T17:03:37ZengMDPI AGApplied Sciences2076-34172021-04-01119386910.3390/app11093869Noise Reduction Effect of Superhydrophobic Surfaces with Streamwise Strip of Channel FlowChen Niu0Yongwei Liu1Dejiang Shang2Chao Zhang3Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001, ChinaAcoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001, ChinaAcoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001, ChinaAcoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001, ChinaSuperhydrophobic surface is a promising technology, but the effect of superhydrophobic surface on flow noise is still unclear. Therefore, we used alternating free-slip and no-slip boundary conditions to study the flow noise of superhydrophobic channel flows with streamwise strips. The numerical calculations of the flow and the sound field have been carried out by the methods of large eddy simulation (LES) and Lighthill analogy, respectively. Under a constant pressure gradient (CPG) condition, the average Reynolds number and the friction Reynolds number are approximately set to 4200 and 180, respectively. The influence on noise of different gas fractions (GF) and strip number in a spanwise period on channel flow have been studied. Our results show that the superhydrophobic surface has noise reduction effect in some cases. Under CPG conditions, the increase in GF increases the bulk velocity and weakens the noise reduction effect. Otherwise, the increase in strip number enhances the lateral energy exchange of the superhydrophobic surface, and results in more transverse vortices and attenuates the noise reduction effect. In our results, the best noise reduction effect is obtained as 10.7 dB under the scenario of the strip number is 4 and GF is 0.5. The best drag reduction effect is 32%, and the result is obtained under the scenario of GF is 0.8 and strip number is 1. In summary, the choice of GF and the number of strips is comprehensively considered to guarantee the performance of drag reduction and noise reduction in this work.https://www.mdpi.com/2076-3417/11/9/3869channel flowsuperhydrophobic surfaceflow noiseflow control |
spellingShingle | Chen Niu Yongwei Liu Dejiang Shang Chao Zhang Noise Reduction Effect of Superhydrophobic Surfaces with Streamwise Strip of Channel Flow Applied Sciences channel flow superhydrophobic surface flow noise flow control |
title | Noise Reduction Effect of Superhydrophobic Surfaces with Streamwise Strip of Channel Flow |
title_full | Noise Reduction Effect of Superhydrophobic Surfaces with Streamwise Strip of Channel Flow |
title_fullStr | Noise Reduction Effect of Superhydrophobic Surfaces with Streamwise Strip of Channel Flow |
title_full_unstemmed | Noise Reduction Effect of Superhydrophobic Surfaces with Streamwise Strip of Channel Flow |
title_short | Noise Reduction Effect of Superhydrophobic Surfaces with Streamwise Strip of Channel Flow |
title_sort | noise reduction effect of superhydrophobic surfaces with streamwise strip of channel flow |
topic | channel flow superhydrophobic surface flow noise flow control |
url | https://www.mdpi.com/2076-3417/11/9/3869 |
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