4.3 Article

An integrated blade optimization approach based on parallel ANN and GA with hierarchical fair competition dynamic-niche

Journal

JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY
Volume 25, Issue 6, Pages 1457-1463

Publisher

KOREAN SOC MECHANICAL ENGINEERS
DOI: 10.1007/s12206-011-0413-0

Keywords

Blade optimization; Parallel ANN; GA; Hierarchical fair competition; Dynamic-niche; Aerodynamic performances

Funding

  1. National Natural Science Foundation of China [50776056]
  2. National 863 Program of China [2009AA05Z201]

Ask authors/readers for more resources

This work presented an available multi-point blade optimization procedure for better aerodynamic performances. Based on the proposed Parallel ANN and GA with hierarchical fair competition dynamic-niche (GA-HFCDN), an integrated approach for the blade optimization design was put forward by combining Bezier parameterization with FINE/TURBO solver. In the optimization design, parallel ANN was employed to build a more proper approximate model. GA-HFCDN was proposed to obtain the global optimization solution more efficiently for the blade design. Two research cases, including plane cascades blade optimization and the optimization and experimental study of a low specific speed centrifugal blower blade, were performed by using the above approach. The conclusions showed the rationality and validity of the optimization approach.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.3
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available