Application of a territorial-based filtering algorithm in turbomachinery blade design optimization |
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Authors: | Salman Bahrami Maryam Khelghatibana Christophe Tribes Suk Yi Lo Sven von Fellenberg Jean-Yves Trépanier |
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Affiliation: | 1. Department of Mechanical Engineering, Polytechnique Montreal, Montreal, Quebec, Canada;2. R&3. D Division, Andritz Hydro Canada Inc., Point-Claire, Quebec, Canada |
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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. |
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Keywords: | Filtering algorithm multi-level design optimization blade shape optimization |
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