Tidal turbine hydrofoil optimization design based on NURBS and genetic algorithm

被引：0
|
作者：
Li Z. [1 ]
Sun Z. [1 ]
Zhang Q. [1 ]
Feng L. [1 ]
机构：
[1] College of Mechanical Electronic Engineering in China University of Petroleum(East China), Qingdao
来源：
| 2018年 / University of Petroleum, China卷 / 42期
关键词：
Airfoil profile; Lift-drag ratio; Multi-objective genetic algorithm; Power coefficient; Turbines;
D O I：
10.3969/j.issn.1673-5005.2018.05.016
中图分类号：
学科分类号：
摘要：
The performance parameter of marine current blade is one of the important factors that determine the efficiency of turbine, so how to construct the blade profile is a key problem in the design process. In this study, the NURBS curve was used to parameterize the turbine blade profile, and the constructed blade profile agrees well with the original one, meanwhile the fitting accuracy is very high. The blade profile performance parameter samples are obtained by using the fluid calculation method and XFOIL software. Then multi-conditions optimal design was performed for the lift-drag ratio of the NACA4415 airfoil profile. Optimization results show that the performance of the lift-drag ratio is improved in the condition of attack angle design, and the increasing amplitude increases with the increase of the attack angle. The power coefficient based on the optimal airfoil profile also increases compared with the original one, and it is increased by 7% around when the propeller pitch angle is 6°. The results validate the rationality and validity of the proposed optimal problem. © 2018, Periodical Office of China University of Petroleum. All right reserved.
引用
收藏
页码：141 / 147
页数：6
相关论文
共 18 条
  • [1] Bjorck A., Coordinates and calculations for the FFA-W1-xxx, FFAW2-xxx, and FFA-W3-xxx series of airfoils for horizontal axis wind turbines, (1990)
  • [2] Laurens J.M., Mohammed A.M., Tarfaoui M., Design of bare and ducted axial marine current turbines, Renewable Energy, 89, 2, pp. 181-187, (2016)
  • [3] Wu B., Zhang X., Chen J., Et al., Design of high-efficient and universally applicable blades of tidal stream turbine, Energy, 60, 4, pp. 187-194, (2013)
  • [4] Liu R., Zhang X., An B., Et al., Ap placation of non-uniform rational B-spine curve and knot insertion algorithm to turbine blade optimization, Journal of Aerospace Power, 25, 2, pp. 451-458, (2010)
  • [5] Zhu G., Feng J., Guo P., Et al., Optimization of hydrofoil for marine current turbine based on radial basis function neural network and genetic algorithm, Transactions of the Chinese Society of Agricultural Engineering, 30, 8, pp. 65-73, (2014)
  • [6] Peng M., Yang Z., Cao Y., Et al., Parameter modeling of turbine blade model line construction based on Bezier curve and particle swarm optimization algorithm, Proceedings of the Chinese Society for Electrical Engineering, 32, 32, pp. 101-108, (2012)
  • [7] Yang Y., Li C., Miao W., Et al., Global optimal design of wind turbines blade based on multi-object genetic algorithm, Journal of Mechanical Engineering, 51, 14, pp. 192-198, (2015)
  • [8] Lu D., Tong C., Deng F., Et al., Calculating control points of cubic NURBS curve, Journal of Projectiles Rockets Missiles and Guidance, 26, 4, pp. 357-359, (2006)
  • [9] Bahaj A.S., Batten W.M.J., Mccann G., Experimental verifications of numerical predictions for the hydrodynamic performance of horizontal axis marine current turbines, Renewable Energy, 32, 15, pp. 2479-2490, (2007)
  • [10] Goldberg D.E., Genetic Algorithms in Search Optimization and Machine Learning, (1989)
12