低比转速混流式水轮机转轮上冠型线的优化方法
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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.
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.
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.
引文
[1]郑源,陈德新.水轮机[M].北京:中国水利水电出版社,2011.(Zheng Yuan,Chen De-xin.Hydroturbine[M].Beijing:China Water&Pow er Press,2011.)
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[7]Yang C X,Zheng Y,Li L Y.Optimization design and performance analysis of a pit turbine w ith ultralow head[J].Advances in Mechanical Engineering,2014,6(4):226-232.
[8]Ruprecht A.Unsteady flow simulation in hydraulic machinery[J].Task Quarterly,2002,6(1):187-208.
[9]Choi H J,Zullah M A,Roh H W,et al.CFD validation of performance improvement of a 500k W Francis turbine[J].Renewable Energy,2013,54(6):111-123.
[10]Menter F R.Two-equation eddy-viscosity turbulence models for engineering applications[J].AIAA Journal,2012,32(8):1598-1605.
[11]Kennedy J,Eberhart R.Particle swarm optimization[C]//Proceedings of IEEE International Conference on Neural Netw orks.Perth,1995:1942-1948.
[2]郑源,杨春霞,周大庆,等.卧轴双转轮混流式水轮机的优化设计[J].排灌机械工程学报,2012,30(3):341-345.(Zheng Yuan,Yang Chun-xia,Zhou Da-qing,et al.Optimization design of horizontal Francis turbine w ith tw o runners[J].Journal of Drainage and Irrigation Machinery Engineering,2012,30(3):341-345.)
[3]Wu J C,Shimmei K,Tani K,et al.CFD-based design optimization for hydro turbines[J].Journal of Fluids Engineering,2007,129(2):159-168.
[4]Zhu B,Wang X,Tan L,et al.Optimization design of a reversible pump-turbine runner w ith high efficiency and stability[J].Renewable Energy,2015,81:366-376.
[5]Wang J,Wang D,Cai W X,et al.Study on the influence of meridional channel to centrifugal compressor performance[J].Applied Mechanics and Materials,2012,220:592-596.
[6]王凯,刘厚林,袁寿其,等.离心泵叶轮轴面图的全自动CFD优化[J].农业工程学报,2011,27(10):39-43.(Wang Kai,Liu Hou-lin,Yuan Shou-qi,et al.Automatic optimization of impeller meridional shape for centrifugal pumps based on CFD[J].Transactions of the CSAE,2011,27(10):39-43.)
[7]Yang C X,Zheng Y,Li L Y.Optimization design and performance analysis of a pit turbine w ith ultralow head[J].Advances in Mechanical Engineering,2014,6(4):226-232.
[8]Ruprecht A.Unsteady flow simulation in hydraulic machinery[J].Task Quarterly,2002,6(1):187-208.
[9]Choi H J,Zullah M A,Roh H W,et al.CFD validation of performance improvement of a 500k W Francis turbine[J].Renewable Energy,2013,54(6):111-123.
[10]Menter F R.Two-equation eddy-viscosity turbulence models for engineering applications[J].AIAA Journal,2012,32(8):1598-1605.
[11]Kennedy J,Eberhart R.Particle swarm optimization[C]//Proceedings of IEEE International Conference on Neural Netw orks.Perth,1995:1942-1948.