ass日本风韵熟妇pics男人扒开女人屁屁桶到爽|扒开胸露出奶头亲吻视频|邻居少妇的诱惑|人人妻在线播放|日日摸夜夜摸狠狠摸婷婷|制服 丝袜 人妻|激情熟妇中文字幕|看黄色欧美特一级|日本av人妻系列|高潮对白av,丰满岳妇乱熟妇之荡,日本丰满熟妇乱又伦,日韩欧美一区二区三区在线

基于遺傳算法的離心泵葉片水力性能優(yōu)化
CSTR:
作者:
作者單位:

作者簡介:

通訊作者:

中圖分類號:

基金項目:


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

Fund Project:

  • 摘要
  • |
  • 圖/表
  • |
  • 訪問統(tǒng)計
  • |
  • 參考文獻
  • |
  • 相似文獻
  • |
  • 引證文獻
  • |
  • 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程作為優(yōu)化目標進行多目標優(yōu)化。包含3個主要步驟: 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商用軟件的計算域網(wǎng)格劃分及流場求解,;基于多目標遺傳算法的全局優(yōu)化。應(yīng)用此方法對某單級單吸蝸殼離心泵水力性能進行了多目標優(yōu)化,,優(yōu)化結(jié)果表明離心泵水力效率及理論揚程分別提高了

    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
    相似文獻
    引證文獻
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)機械學(xué)報,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
  • 點擊次數(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:
文章二維碼