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CLC number: TB126

On-line Access: 2019-08-05

Received: 2019-04-23

Revision Accepted: 2019-07-20

Crosschecked: 2019-07-23

Cited: 0

Clicked: 559

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Chun-bao Liu

https://orcid.org/0000-0002-8265-2875

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Journal of Zhejiang University SCIENCE A 2019 Vol.20 No.8 P.553-563

http://doi.org/10.1631/jzus.A1900165


Scale-resolving simulation and particle image velocimetry validation of the flow around a marine propeller


Author(s):  Chun-bao Liu, Jing Li, Yuan Li, Tong-jian Wang

Affiliation(s):  School of Mechanical and Aerospace Engineering, Jilin University, Changchun 130022, China; more

Corresponding email(s):   wangtj@jlu.edu.cn

Key Words:  Propeller, Numerical simulation, Scale-resolving simulation (SRS), Particle image velocimetry (PIV) test


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Chun-bao Liu, Jing Li, Yuan Li, Tong-jian Wang. Scale-resolving simulation and particle image velocimetry validation of the flow around a marine propeller[J]. Journal of Zhejiang University Science A, 2019, 20(8): 553-563.

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Abstract: 
There are many unresolved issues in Reynolds-averaged Navier-Stokes (RANS) calculations of marine propeller performance, especially in the treatment of complex flow phenomena such as boundary-layer development, scale effects, and tip and hub vortices. The particular focus of this study was to apply three scale-resolving simulation (SRS) methods, i.e. dynamic large eddy simulation (DLES), delayed detached-eddy simulation (DDES), and stress-blended eddy simulation (SBES), to improve the prediction of flow characteristics. Firstly, the effectiveness of the SRS methods was verified by comparing numerical results with experimental data. The external performance of rotating machinery is determined by internal flow structures. Particle image velocimetry (PIV) measurement is established as a visualization tool to analyze the wake evolution of a scaled propeller by velocity and vorticity contours in a specified cross-section plane. We found that SRS methods, especially the SBES model, performed well in predicting characteristic parameters and capturing flow field information via quantitative and qualitative analyses. The ability to accurately predict flow characteristics can make computational tools more effective in meeting the needs of modern propeller design and analysis.

Three scale resolving simulation methods were used in the manuscript to obtain the flow structure near the propeller. The topic is interesting. The manuscript applied three scale-resolving simulation (SRS) methods, i.e., dynamic large eddy simulation (DLES), delayed detached-eddy simulation (DDES) and stress-blended eddy simulation (SBES), to describe the irregular and multi-scale turbulence structures of the propeller flow field. The authors verified the effectiveness of the SRS methods by comparing the numerical results with experimental data. They also used particle image velocimetry (PIV) measurement to analyze the real flow flied of a scaled propeller and found that SRS methods performed well in predicting characteristic parameters and capturing flow field information via quantitative and qualitative analyses, especially the SBES model.

船用螺旋桨流动尺度解析模拟与粒子图像测速验证

目的:船用螺旋桨性能评估中常用的雷诺平均方法(RANS)存在许多难题,特别是在处理边界层发展、尺度效应、翼尖和轮毂涡等复杂流动现象时. 本文使用动态大涡模拟(DLES)、延迟分离涡模拟(DDES)和应力混合涡模拟(SBES)三种尺度解析模拟(SRS)方法,以提高流动特性预测的准确性.
创新点:1. 通过SRS方法详细地描述螺旋桨流场的不规则和多尺度湍流结构; 2. 通过粒子图像测速(PIV)试验,分析缩比螺旋桨的真实流场.
方法:1. 考虑叶片的周期分布和计算消耗,提取1/5的螺旋桨计算区域,并采用局部网格细化方法,获得分辨率足够高的网格模型(图1); 通过仿真结果与已有试验数据的对比,验证SRS方法在螺旋桨性能预测方面的可行性与有效性(图3). 2. 通过搭建PIV试验装置(图4),得到缩比螺旋桨在特定横截面上的速度和涡量分布情况下的尾流演变(图9和10),从而分析SRS方法对流场结构的捕捉能力.
结论:1. 通过定量和定性分析发现,SRS方法在预测特征参数和捕捉流场信息方面表现良好,特别是值得重点关注的SBES模型; 2.作为一种可视化流场分析工具,PIV测量方法可以为螺旋桨等旋转机械的设计和性能改进提供一定的参考依据.

关键词:螺旋桨; 数值模拟; 尺度分辨模拟; PIV试验

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