Application of a territorial-based filtering algorithm in turbomachinery blade design optimization. Issue 2 (1st February 2017)

• Record Type: Journal Article
• Authors: Bahrami, Salman; Khelghatibana, Maryam; Tribes, Christophe; Yi Lo, Suk; von Fellenberg, Sven; Trépanier, Jean-Yves; Guibault, François
• Is Part Of: Engineering optimization. Volume 49:Issue 2(2017)
• Page Start: 216
• Page End: 234
• Publication Date: 2017-02-01
• Subjects: Filtering algorithm -- multi-level design optimization -- blade shape optimization; Engineering design -- Periodicals; Mathematical optimization -- Periodicals; 620.0042
• DOI: 10.1080/0305215X.2016.1165994
• Languages: English
• ISSNs: 0305-215X

Abstract

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.