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Application of a territorial-based filtering algorithm in turbomachinery blade design optimization
Authors:Salman Bahrami  Maryam Khelghatibana  Christophe Tribes  Suk Yi Lo  Sven von Fellenberg  Jean-Yves Trépanier
Affiliation:1. Department of Mechanical Engineering, Polytechnique Montreal, Montreal, Quebec, Canada;2. R&3. D Division, Andritz Hydro Canada Inc., Point-Claire, Quebec, Canada
Abstract:A territorial-based filtering algorithm (TBFA) is proposed as an integration tool in a multi-level design optimization methodology. The design evaluation burden is split between low- and high-cost levels in order to properly balance the cost and required accuracy in different design stages, based on the characteristics and requirements of the case at hand. TBFA is in charge of connecting those levels by selecting a given number of geometrically different promising solutions from the low-cost level to be evaluated in the high-cost level. Two test case studies, a Francis runner and a transonic fan rotor, have demonstrated the robustness and functionality of TBFA in real industrial optimization problems.
Keywords:Filtering algorithm  multi-level design optimization  blade shape optimization
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