[1]姚国英,柯永胜.RANS方法预报对转桨非定常水动力性能研究[J].应用科技,2019,46(03):7-12.[doi:10.11991/yykj.201808001]
 YAO Guoying,KE Yongsheng.Using RANS method to predict the unsteady hydrodynamic performance of contra-rotating propellers[J].Applied science and technology,2019,46(03):7-12.[doi:10.11991/yykj.201808001]
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RANS方法预报对转桨非定常水动力性能研究(/HTML)
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《应用科技》[ISSN:1009-671X/CN:23-1191/U]

卷:
第46卷
期数:
2019年03期
页码:
7-12
栏目:
船舶与海洋工程
出版日期:
2019-04-29

文章信息/Info

Title:
Using RANS method to predict the unsteady hydrodynamic performance of contra-rotating propellers
作者:
姚国英 柯永胜
海军研究院, 北京 100161
Author(s):
YAO Guoying KE Yongsheng
Naval Research Academy, Beijing 100161, China
关键词:
对转螺旋桨非定常激振力水动力性能预报网格计算流体力学RANS方法
Keywords:
contra-rotating propellersunsteadyexciting forcehydrodynamic performancepredictionmeshcomputational fluid dynamicsRANS method
分类号:
U661.1
DOI:
10.11991/yykj.201808001
文献标志码:
A
摘要:
对转螺旋桨的非定常激振力直接影响着对转桨的噪声性能及振动特性,准确预报对转桨的非定常性能可以更好地为对转桨设计工作服务。基于计算流体力学(CFD)中雷诺平均纳维-斯托克斯(RANS)方法,对对转桨非定常水动力性能预报方法进行研究。通过对前后桨区域及交界面处网格精细划分,结合滑移网格特点,考虑每一时间步内旋转角度的对应性,进行合理的计算设置,提高对转桨的非定常性能预报精度。进行了2对对转桨方案的非定常水动力性能数值模拟,与试验数据的比较分析验证了预报方法的准确性和可行性。
Abstract:
The unsteady exciting force of contra-rotating propellers (CRPs) can generate line-spectrum noise and vibration. Predicting unsteady hydrodynamic performance of CRPs precisely is important for the design of CRPs. A numerical method to predict CRPs unsteady hydrodynamic performance is developed based on the solution of RANS equations with the SST k-ω turbulence model, using the sliding mesh model to simulate the unsteady interaction between the forward and aft propeller. To improve the prediction accuracy, meshes around the interface of the forward and aft propeller are generated with a refined strategy, combining the sliding mesh’s characteristics, besides, the calculation is set up reasonably by considering the correspondence of rotating angle in every calculating time-step. Numerical predictions were carried out for two sets of CRPs, and results were compared with model test data. Comparison and analysis indicate that the prediction method developed in this article yields more accurate results and this method is effective.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2018-08-01。
作者简介:姚国英,女,工程师;柯永胜,男,硕士研究生
通讯作者:柯永胜,E-mail:317073482@qq.com
更新日期/Last Update: 2019-04-29