• DocumentCode
    2221244
  • Title

    Optimum Design for Suction Chambers of Pipeline Pumps Based on Uniform Design and CFD

  • Author

    Wang Kai ; Liu Hou-lin ; Yuan Shou-qi ; Tan Ming-gao ; Wang Yong ; Dong Liang

  • Author_Institution
    Res. Center of Fluid Machinery Eng. & Technol., Jiangsu Univ., Zhenjiang, China
  • fYear
    2009
  • fDate
    26-28 Dec. 2009
  • Firstpage
    291
  • Lastpage
    294
  • Abstract
    Based on the maximal velocity distribution uniformity, the minimal velocity-weighed average bias angle of the outlet section and the minimal hydraulic loss of the suction chamber, three optimum object functions of suction chambers of pipeline pumps are established. According to uniform design, ten optimum schemes are determined with the height H3 and the length L as the optimum parameters, and internal flows of the pipeline pump in different schemes are simulated with steady flow hypothesis and Computational Fluid Dynamics (CFD) commercial code FLUENT 6.2. At the same time, values of optimum object functions in different schemes are calculated. The regression analysis is applied to deal with optimum results, and three regression models of optimum object functions are established. By calculation, the best parameters are achieved when H3 equals to 75.00 mm and L equals to 215.00 mm. The research results can be used to instruct the chamber hydraulic design of pipeline pump and the optimization method also can be used to improve the performance of the other type pump suction chambers.
  • Keywords
    computational fluid dynamics; design engineering; pipe flow; pipelines; pumps; regression analysis; CFD; commercial code FLUENT 6.2; computational fluid dynamics; internal flows; maximal velocity distribution uniformity; minimal velocity-weighed average bias angle; optimum design; pipeline pumps; regression analysis; steady flow hypothesis; suction chambers; uniform design; Computational fluid dynamics; Design engineering; Information science; Machinery; Numerical simulation; Performance loss; Pipelines; Pumps; Regression analysis; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2009 1st International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4909-5
  • Type

    conf

  • DOI
    10.1109/ICISE.2009.815
  • Filename
    5455068