| 联合应用现代优化方法与S2流面计算进行多级涡轮的气动设计 |
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| 引用本文： | 赵洪雷,王松涛,韩万金,冯国泰. 联合应用现代优化方法与S2流面计算进行多级涡轮的气动设计[J]. 燃气涡轮试验与研究, 2007, 20(1): 27-31 |
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| 作者姓名： | 赵洪雷 王松涛 韩万金 冯国泰 |
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| 作者单位： | 哈尔滨工业大学,能源科学与工程学院,黑龙江,哈尔滨,150001 |
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| 摘 要： | 本文联合应用S2流面正问题计算和多级局部优化设计对某三级涡轮进行多级气动优化设计。优化联合采用人工神经网络和遗传算法,流场计算采用全三维粘性流N-S方程求解,计算网格采用H-O-H型网格,即入口段、出口段采用H型网格,叶片区域采用O型网格。通过优化,总效率提高1.1%,总体性能提高,达到设计要求。
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| 关 键 词： | 涡轮 优化设计 S2流面正问题计算 遗传算法 人工神经网络 |
| 文章编号： | 23775001 |
| 修稿时间： | 2006-09-08 |
Aerodynamic Design by Jointly Applying S2 Flow Surface Calculation and Modern Optimization Methods on Multistage Turbine |
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| ZHAO Hong-lei,WANG Song-tao,HAN Wan-jin,FENG Guo-tai. Aerodynamic Design by Jointly Applying S2 Flow Surface Calculation and Modern Optimization Methods on Multistage Turbine[J]. Gas Turbine Experiment and Research, 2007, 20(1): 27-31 |
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| Authors: | ZHAO Hong-lei WANG Song-tao HAN Wan-jin FENG Guo-tai |
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| Affiliation: | Academy of Energy Science and Engineering, Harbin Institute of technology, Harbin 150001, China |
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| Abstract: | A three-stage axial turbine was redesigned by jointly applying S2 flow surface direct problem calculation methods and multistage local optimization methods in this article.Genetic algorithm and artificial neural network were jointly adopted during optimization.Flow computation applied three-dimensional viscosity Navier-Stokes equation solver.Computation grid adopted H-O-H-topology grid,i.e.inlet segment and outlet segment adopt H-topology grid and stator zone and rotor zone adopt O-topology grid.Through optimization design,the total efficiency has increased 1.1%,thus indicating that the total performance is improved and the design object is achieved. |
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| Keywords: | turbine optimization design S2 flow surface direct problem calculation genetic algorithm artificial neural network |
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