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Journal Articles

A Genetic Algorithm Based Multi-Objective Optimization of Squealer Tip Geometry in Axial Flow Turbines: A Constant Tip Gap Approach

H. Maral, C. B. Şenel, K. Deveci, E. Alpman, L. Kavurmacıoğlu, Cengiz Camci
Journal: Journal of Fluids Engineering
Publisher: ASME
Article Type: Research-Article
J. Fluids Eng. February 2020, 142(2): 021402.
Paper No: FE-19-1096
https://doi.org/10.1115/1.4044721
Published Online: October 10, 2019
... of tip leakage flow. In this paper, a genetic-algorithm-based optimization approach was applied to the conventional squealer tip design to enhance aerothermal performance. A multi-objective optimization method integrated with a meta-model was utilized to determine the optimum squealer geometry. Squealer...
View Article titled, A Genetic Algorithm Based Multi-Objective Optimization of <span class="search-highlight">Squealer</span> <span class="search-highlight">Tip</span> Geometry in Axial Flow Turbines: A Constant Tip Gap Approach
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Topics: Artificial neural networks, Axial flow, Blades, Computational fluid dynamics, Databases, Design, Flow (Dynamics), Genetic algorithms, Geometry, Leakage flows