东北大学学报（自然科学版）

东北大学学报:自然科学版 ›› 2018, Vol. 39 ›› Issue (6): 839-843.DOI: 10.12068/j.issn.1005-3026.2018.06.016

• 机械工程 • 上一篇    下一篇

低比转速混流式水轮机转轮上冠型线的优化方法

文哲男， 张英莉， 巴德纯， 岳向吉   

  1. (东北大学 机械工程与自动化学院， 辽宁 沈阳110819)
  • 收稿日期:2017-01-26 修回日期:2017-01-26 出版日期:2018-06-15 发布日期:2018-06-22
  • 通讯作者: 文哲男
  • 作者简介:文哲男(1979-)，男，朝鲜人，东北大学博士研究生； 巴德纯(1954-)，男，辽宁沈阳人，东北大学教授，博士生导师.冯明杰(1971-)， 男， 河南禹州人， 东北大学副教授; 王恩刚(1962-)， 男， 辽宁沈阳人， 东北大学教授，博士生导师.
  • 基金资助:
    国家重大科学仪器设备开发专项(2013YQ24042101)国家自然科学基金资助项目(51171041)..

Optimization Method for the Runner Crown Shape of a Low Specific Speed Francis Turbine

WEN Zhe-nan， ZHANG Ying-li， BA De-chun， YUE Xiang-ji   

  1. School of Mechanical Engineering & Automation，Northeastern University， Shenyang 110819， China.
  • Received:2017-01-26 Revised:2017-01-26 Online:2018-06-15 Published:2018-06-22
  • Contact: BA De-chun
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摘要： 通过混流式水轮机转轮上冠型线的优化，以提高水轮机效率为目的，基于ISIGHT软件集成GAMBIT和ANSYS FLUENT16.0软件，采用实验设计的最优拉丁超立方(optimal Latin hypercube， OLH)方法提出了80组设计方案.然后运用ANSYS FLUENT16.0软件对各方案进行数值计算，以设计工况下的水轮机效率为目标函数，进而用响应面方法(response surface method，RSM)得到近似模型.最后结合粒子群优化(PSO)算法进行自动优化设计，提出一种低比转速混流式水轮机转轮上冠型线的优化设计方法.该方法应用于模型混流式水轮机转轮上冠型线的优化设计，结果表明:优化后水轮机水力效率提高0.35%，从而为混流式水轮机转轮上冠型线的优化设计提供了合理有效的途径.

关键词: 混流式水轮机, 转轮上冠, 数值模拟, PSO算法, 计算流体力学

Abstract: The turbine efficiency was aimed to be improved through the optimization design of the runner crown shape in the Francis turbine. Based on ISIGHT software platform， a method which combined GAMBIT with ANSYS FLUENT16.0 software was presented. In this method， 80 sets of the sample points were generated using the optimal Latin hypercube (OLH) of the experiment design， whose performances were evaluated through ANSYS FLUENT16.0 software. The turbine efficiency in the design condition was used as the objective function， the approximate model was used based on the response surface method (RSM)， and the optimization result was finally obtained using particle swarm optimization (PSO). The proposed method was applied for the optimization design of the runner crown shape of a model Francis turbine. The results indicated that the hydraulic efficiency of the Francis turbine increased by 0.35% through the optimization process. This method provided a reasonable and effective approach to the optimization design of the runner crown of Francis turbine.

Key words: Francis turbine, runner crown, numerical simulation, particle swarm optimization algorithm, computational fluid mechanics

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