Table of Contents
ISRN Mechanical Engineering
Volume 2013 (2013), Article ID 274135, 7 pages
http://dx.doi.org/10.1155/2013/274135
Research Article

Multiobjective Optimization Design for Skew and Sweep Parameters of Two-Stage Blades of Axial Fan

1Engineering Research Center of Advanced Mining Equipment, Ministry of Education, Hunan University of Science and Technology, Xiangtan, Hunan 411201, China
2College of Mechanical and Electrical Engineering, Central South University, Changsha 410083, China

Received 11 March 2013; Accepted 4 April 2013

Academic Editors: M. Ahmadian, Y.-H. Lin, and B. Yu

Copyright © 2013 Wen-hui Yue et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. E. Benini, “Three-dimensional multi-objective design optimization of a transonic compressor rotor,” Journal of Propulsion and Power, vol. 20, no. 3, pp. 559–565, 2004. View at Google Scholar · View at Scopus
  2. L. Yang, O. Hua, and D. Zhao-Hui, “Optimization design and experimental study of low-pressure axial fan with forward-skewed blades,” International Journal of Rotating Machinery, vol. 2007, Article ID 85275, 10 pages, 2007. View at Publisher · View at Google Scholar
  3. Y. Li, H. Ouyang, and Z. Du, “Optimized design based on skewed and swept blade technology,” Reneng Dongli Gongcheng/Journal of Engineering for Thermal Energy and Power, vol. 22, no. 6, pp. 605–609, 2007. View at Google Scholar · View at Scopus
  4. A. Samad and K. Kim, “Multi-objective optimization of an axial compressor blade,” Journal of Mechanical Science and Technology, vol. 22, no. 5, pp. 999–1007, 2008. View at Publisher · View at Google Scholar · View at Scopus
  5. H. Lei, C. Wu-li, D. Wen-jian, and Z. Hao-guang, “Multi-objective optimization of the circumferential stacking of axial compressor 3D blades,” Mechanical Science and Technology for Aerospace Engineering, vol. 28, no. 6, pp. 716–720, 2009. View at Google Scholar
  6. Y. Jin, D. Liu, and Z. Wen, “Optimization design for skew and sweep parameters of mine contra-rotating axial fan two-stage blades,” Meitan Xuebao/Journal of the China Coal Society, vol. 35, no. 10, pp. 1754–1759, 2010. View at Google Scholar · View at Scopus
  7. Z. Z. Han, J. Wang, and X. P. Lan, Simulation Examples and Application of FLUENT, Beijing Institute of Technology Press, Beijing, China, 2004.
  8. Y.-P. Jin, D.-S. Liu, and Z.-J. Wen, “Effects of blades number and axial clearance on the aerodynamic performance of mine contra-rotating axial fan,” Journal of Hunan University of Science & Technology, vol. 25, no. 4, pp. 29–32, 2010. View at Google Scholar
  9. J. Kennedy and R. Eberhart, “Particle swarm optimization,” in Proceedings of the 1995 IEEE International Conference on Neural Networks. Part 1 (of 6), pp. 1942–1948, December 1995. View at Scopus
  10. Y. Karpat and T. Özel, “Multi-objective optimization for turning processes using neural network modeling and dynamic-neighborhood particle swarm optimization,” International Journal of Advanced Manufacturing Technology, vol. 35, no. 3-4, pp. 234–247, 2007. View at Publisher · View at Google Scholar · View at Scopus
  11. J. Srinivas, R. Giri, and S. Yang, “Optimization of multi-pass turning using particle swarm intelligence,” International Journal of Advanced Manufacturing Technology, vol. 40, no. 1-2, pp. 56–66, 2009. View at Publisher · View at Google Scholar · View at Scopus
  12. L. X. Liu, Research of multi-objective particle swarm optimization algorithm [M.S. thesis], Hunan University of Science and Technology, Hunan, China, 2010.
  13. D. Y. Sha and H. Lin, “A multi-objective PSO for job-shop scheduling problems,” Expert Systems with Applications, vol. 37, no. 2, pp. 1065–1070, 2010. View at Publisher · View at Google Scholar · View at Scopus
  14. W. Yang, Y. Guo, and W. Liao, “Multi-objective optimization of multi-pass face milling using particle swarm intelligence,” International Journal of Advanced Manufacturing Technology, vol. 56, no. 5–8, pp. 429–443, 2011. View at Publisher · View at Google Scholar · View at Scopus