Shape optimization of inclined hole for enhanced film-cooling performance using discrete adjoint method

Autor: Jiazhen Leng, Aziz Madrane, Damiano Pasini, Minh Quan Pham, Ali Shanian, Megan Schaenzer, Genevieve Bourgeois, Haichao An
Rok vydání: 2020
Předmět:
Zdroj: International Journal of Thermal Sciences. 158:106542
ISSN: 1290-0729
DOI: 10.1016/j.ijthermalsci.2020.106542
Popis: This paper presents a gradient-based framework to optimize the film-cooling performance of heat bearing components in gas turbines. We examine a representative periodic component with very low porosity (below 1 % ) and optimize the shape of an inclined hole on the wall of a combustor for maximum cooling effectiveness, here defined as the normalized average decrease of downstream temperature. The shape boundary of the hole is parameterized using the coordinates of its control points here describing the design variables. Geometric constraints are introduced on the void area, symmetry relations and relative motion between planes along the line of extrusion. The cooling effectiveness is numerically evaluated through a RANS (Reynolds-Averaged Navier-Stokes)-based computational fluid dynamics (CFD) analysis. The Method of Moving Asymptotes (MMA) is adopted as the optimizer, with gradients computed using the adjoint method. Nine case studies with initial hole geometry of circular and elliptical shape as well as various inclination angles converge to a family of V-shapes that achieve more than 120 % increase in cooling effectiveness. The automation of the workflow presented in this paper can be implemented in CFD-based optimization of other single and multi-objectives problems.
Databáze: OpenAIRE
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