Design Method of Controllable Blade Angle and Orthogonal Optimization of Pressure Rise for a Multiphase Pump

被引:79
|
作者
Liu, Ming [1 ]
Tan, Lei [1 ]
Cao, Shuliang [1 ]
机构
[1] Tsinghua Univ, Dept Energy & Power Engn, State Key Lab Hydrosci & Engn, Beijing 100084, Peoples R China
基金
中国国家自然科学基金;
关键词
multiphase pump; design method; controllable blade angle; pressure rise; orthogonal optimization; CENTRIFUGAL PUMP; GENETIC ALGORITHM; FLOW; IMPELLER; VISUALIZATION; PERFORMANCE; CFD;
D O I
10.3390/en11051048
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The hydraulic design method of controllable blade angle for rotodynamic multiphase pump with impeller and diffuser is proposed. The distribution of blade angle along the meridional streamline is governed by the normalized fourth-order and first-order polynomial function for impeller and diffuser, respectively. The orthogonal optimization method with five factors and four levels is employed by numerical simulation to optimize the geometry parameters, including the shroud angle at the leading and trailing edge beta(Is0), beta(Is1), the blade difference at inlet Delta beta(I0), and the coefficients at hub and shroud k(h), k(s). According to orthogonal analysis, the influence of each factor on pressure rise is estimated, and the optimization values of for those parameters are determined. The pressure rise of optimization multiphase pump is increased by 12.8 kPa in comparison of the base pump. Results show that the distributions of gas volume fraction (GVF) and the pressure become more uniform after optimization, which improves the transporting performance of the multiphase pump.
引用
收藏
页数:20
相关论文
共 50 条
  • [21] Role of blade rotational angle on energy performance and pressure fluctuation of a mixed-flow pump
    Tan Lei
    Yu Zhiyi
    Xu Yun
    Liu Yabin
    Cao Shuliang
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART A-JOURNAL OF POWER AND ENERGY, 2017, 231 (03) : 227 - 238
  • [22] A Method for the Integrated Optimal Design of Multiphase Pump Based on the Sparse Grid Model
    Peng, Cancan
    Zhang, Xiaodong
    Chen, Yongqiang
    Gong, Yan
    Li, Hedong
    Huang, Shaoxiong
    PROCESSES, 2022, 10 (07)
  • [23] Optimization design for an impeller of the multiphase rotodynamic pump handling gas-liquid two-phase flow
    Zhang, Wenwu
    Zhu, Baoshan
    Wang, Zhongjing
    Wang, Fujun
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART A-JOURNAL OF POWER AND ENERGY, 2022, 236 (08) : 1544 - 1557
  • [24] Inverse Design and Optimization of Low Specific Speed Centrifugal Pump Blade Based on Adaptive POD Hybrid Model
    Chen, X. B.
    Zhang, R. H.
    Yang, W. F.
    JOURNAL OF APPLIED FLUID MECHANICS, 2022, 15 (02) : 453 - 464
  • [25] NEW INVERSE METHOD OF CENTRIFUGAL PUMP BLADE AND ITS OPTIMIZATION
    Zhang, Renhui
    Yang, Junhu
    Li, Rennian
    ADVANCES IN WATER RESOURCES AND HYDRAULIC ENGINEERING, VOLS 1-6, 2009, : 2224 - +
  • [26] Performance Optimization of High Specific Speed Centrifugal Pump Based on Orthogonal Experiment Design Method
    Li, Zikang
    Ding, Hongchang
    Shen, Xiao
    Jiang, Yongming
    PROCESSES, 2019, 7 (10)
  • [27] Effect of the Gap Matching Relation on the Pressure Pulsation Characteristics at Blade's Surface of the Multiphase Pump
    Shi, Guangtai
    Zhu, Zheyu
    Wang, Binxin
    Wen, Haigang
    MACHINES, 2022, 10 (06)
  • [28] Optimization of the target pressure distribution and inverse design of an axial turbine blade
    Esmaeili, Safa
    Sepahi-Younsi, Javad
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2023, 237 (20) : 4655 - 4665
  • [29] Design and Optimization of a Centrifugal Pump for Slurry Transport Using the Response Surface Method
    Alawadhi, Khaled
    Alzuwayer, Bashar
    Mohammad, Tareq Ali
    Buhemdi, Mohammad H.
    MACHINES, 2021, 9 (03)
  • [30] Pressure pulsation reduction in the draft tube of pump turbine in turbine mode based on optimization design of runner blade trailing edge profile
    Zhang, Fangfang
    Xiao, Ruofu
    Zhu, Di
    Liu, Weichao
    Tao, Ran
    JOURNAL OF ENERGY STORAGE, 2023, 59