亚洲一区欧美在线,日韩欧美视频免费观看,色戒的三场床戏分别是在几段,欧美日韩国产在线人成

基于遺傳算法的離心泵葉片水力性能優(yōu)化
作者:
作者單位:

作者簡介:

通訊作者:

中圖分類號:

基金項(xiàng)目:


the Hydraulic Performance of Centrifugal Blade Based on the Genetic Algorithm
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 圖/表
  • |
  • 訪問統(tǒng)計(jì)
  • |
  • 參考文獻(xiàn)
  • |
  • 相似文獻(xiàn)
  • |
  • 引證文獻(xiàn)
  • |
  • 資源附件
  • |
  • 文章評論
    摘要:

    建立了一種基于遺傳算法的離心泵葉片型線水力性能優(yōu)化方法。區(qū)別于傳統(tǒng)優(yōu)化方法,此方法通過CFD技術(shù)求解離心泵葉片的水力性能,以離心泵水力效率及理論揚(yáng)程作為優(yōu)化目標(biāo)進(jìn)行多目標(biāo)優(yōu)化。包含3個(gè)主要步驟: 基于蒙面法和三次B樣條曲線的三維葉片型線參數(shù)化;基于NUMECA商用軟件的計(jì)算域網(wǎng)格劃分及流場求解;基于多目標(biāo)遺傳算法的全局優(yōu)化。應(yīng)用此方法對某單級單吸蝸殼離心泵水力性能進(jìn)行了多目標(biāo)優(yōu)化,優(yōu)化結(jié)果表明離心泵水力效率及理論揚(yáng)程分別提高了

    Abstract:

    0.35%和0.944%。A new optimization method based on genetic algorithm for the optimization of a centrifugal blade profile was presented. Different from the traditional optimization method, the hydraulic performance of centrifugal blade profile was predicted with CFD technology in the new developed method. The hydraulic efficiency and theoretical head were defined as the objective functions for the blade profile optimization using multiobjective genetic algorithm. Three key technologies were employed as the follows: 3-D blade profile parameterization, grid generation & CFD analysis, multiobjective optimization. By this optimization method, a single-stage single-suction centrifugal blade was redesigned and optimized at the design condition. The results showed that the objective function values of the maximum hydraulic efficiency and the theoretical head were increased by 0.35% and 0.944% respectively. 

    參考文獻(xiàn)
    相似文獻(xiàn)
    引證文獻(xiàn)
引用本文

田輝,孫秀玲,郭濤,李國君.基于遺傳算法的離心泵葉片水力性能優(yōu)化[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2010,41(5):64-67. the Hydraulic Performance of Centrifugal Blade Based on the Genetic Algorithm[J]. Transactions of the Chinese Society for Agricultural Machinery,2010,41(5):64-67.

復(fù)制
分享
文章指標(biāo)
  • 點(diǎn)擊次數(shù):
  • 下載次數(shù):
  • HTML閱讀次數(shù):
  • 引用次數(shù):
歷史
  • 收稿日期:
  • 最后修改日期:
  • 錄用日期:
  • 在線發(fā)布日期:
  • 出版日期: