A novel optimization approach for axial turbine blade cascade via combination of a continuous-curvature parameterization method and genetic algorithm-Reference-Cited by-同舟云学术

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A novel optimization approach for axial turbine blade cascade via combination of a continuous-curvature parameterization method and genetic algorithm

Published:2021-08-28 Issue:9 Volume:35 Page:3989-4000
ISSN:1738-494X
Container-title:Journal of Mechanical Science and Technology
language:en
Short-container-title:J Mech Sci Technol

Author:

Nafar-Sefiddashti Mehrdad,Nili-Ahmadabadi Mahdi,Saeedi-Rizi Behnam,Shirani Ebrahim,Kim Kyung Chun

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,Mechanics of Materials

Link

https://link.springer.com/content/pdf/10.1007/s12206-021-0812-9.pdf

Reference31 articles.

1. T. Korakianitis and G. I. Pantazopoulos, Improved turbine-blade design techniques using 4th-order parametric-spline segments, Computer-Aided Design, 25(5) (1993) 289–299.

2. K. Chang and K. Lee, Turbomachinery blade optimization using the Navier-Stokes equations, 36th AIAA Aerospace Sciences Meeting and Exhibit (1997).

3. S. Eyi and K. Lee, Turbomachinery blade design using the Navier-Stokes equations, 21st ICAS Congress (1998).

4. S. Pierret and R. A. Van den Braembussche, Turbomachinery blade design using a Navier-Stokes solver and artificial neural network, ASME International Gas Turbine and Aero-Engine Congress and Exhibition, ASME (1998) V001T01A002.

5. B. H. Dennis et al., Multi-objective optimization of turbomachinery cascades for minimum loss, maximum loading, and maximum gap-to-chord ratio, International Journal of Turbo and Jet Engines, 18(3) (2001) 201–210.

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