Practical numerical method for erosion risk prediction on ship propellers

被引:1
|
作者
Shin, Keun Woo [1 ]
Andersen, Poul [2 ]
机构
[1] MAN Energy Solut, Frederikshavn, Denmark
[2] Tech Univ Denmark DTU, Lyngby, Denmark
关键词
Ship propeller; cavitation; erosion; CFD; DES; CAVITATION; AGGRESSIVENESS; SIMULATION; PRESSURE; WAVES;
D O I
10.3233/ISP-201002
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
It is important to make predictions of cavitation-induced erosion risk on ship propellers in the design phase. Since a cavitation tunnel test on a propeller model coated by soft paint, that is, a standard experimental method for evaluating erosion risk, is costly and time-consuming, numerical methods are necessary for erosion risk predictions. DES is made for cavitating flows around the propeller with a numerically modelled hull wake at the inflow. After achieving a converged solution, an erosion risk index is computed in each cell connecting to the blade surface and accumulated over a propeller rotation. Cavitation simulations are made for two propellers designed for a single-screw ship, of which one showed an erosion indication and the other showed no indication after cavitation tunnel tests with soft paint coating. Three index formulations are compared with the experiment result. The high value region of Index 1 based on the potential energy density of collapsing bubbles corresponds better with the eroded spot indicated by partial and complete paint removals in the experiment than those of the other indices. The maximum value of Index 1 for the non-eroded propeller is lower by more than an order of magnitude than that for the eroded one, whereas the maximum values of the other indices are of the same order of magnitude for both propellers. The validation of Index 1 is in agreement with the criterion that the maximum index needs to be below 1,000 J/m(3) for erosion-free propeller designs. The design evolution based on the erosion risk index and propulsive efficiency from CFD shows that it can be a practical tool for a quantitative evaluation of blade surface erosion risk in the propeller design phase.
引用
收藏
页码:199 / 220
页数:22
相关论文
共 50 条
  • [41] Prediction of Open-Water Characteristics of Ship Propellers Based on Machine Learning Surrogate Model
    Qiang, Yiming
    Chen, Shinan
    Chen, Yihong
    Chu, Xuesen
    Ship Building of China, 2022, 63 (05) : 181 - 188
  • [42] Numerical prediction of vibration-induced cavitation erosion in high-speed gears using erosion risk indicators
    Mo, Xiaoyu
    Wang, Jinxiang
    Cheng, Liang
    Ouyang, Tiancheng
    TRIBOLOGY INTERNATIONAL, 2023, 179
  • [43] Prediction of hydrodynamic characteristics of combined propellers based on CFD method
    Su, Shichuan
    Wang, Shengsen
    Cao, Jiabin
    Feng, Desheng
    3RD INTERNATIONAL CONFERENCE ON FLUID MECHANICS AND INDUSTRIAL APPLICATIONS, 2019, 1300
  • [44] A simple and practical method for ICCP design of ship
    Liu, Ying-Wei
    Zhou, Zi-Jie
    Zhang, Yang
    Surface Technology, 2019, 48 (07): : 309 - 315
  • [45] A PRACTICAL METHOD FOR THE RATIONAL DESIGN OF SHIP STRUCTURES
    HUGHES, OF
    MISTREE, F
    ZANIC, V
    JOURNAL OF SHIP RESEARCH, 1980, 24 (02): : 101 - 113
  • [46] A practical method for stability assessment of a damaged ship
    Sun, Xiaofeng
    Ni, Yingang
    Liu, Chunlei
    Wang, Zhizhou
    Yin, Yong
    OCEAN ENGINEERING, 2021, 222
  • [47] A practical method for stability assessment of a damaged ship
    Sun, Xiaofeng
    Ni, Yingang
    Liu, Chunlei
    Wang, Zhizhou
    Yin, Yong
    Ocean Engineering, 2021, 222
  • [48] NUMERICAL PREDICTION OF EROSION FOR SUSPENSION FLOW DUCT
    SATO, S
    SHIMIZU, A
    YOKOMINE, T
    WEAR, 1995, 186 (01) : 203 - 209
  • [49] Numerical prediction of particle erosion of pipe bends
    Lain, S.
    Sommerfeld, M.
    ADVANCED POWDER TECHNOLOGY, 2019, 30 (02) : 366 - 383
  • [50] Numerical simulation of erosion prediction in π-shaped tube
    Wang, Yan-Hua
    Wu, Yu-Guo
    Zhang, Shao-Chuan
    Zhang, Wan-Ying
    Surface Technology, 2020, 49 (12): : 259 - 266