Article (Scientific journals)
Comparing Gradient-Free and Gradient-Based Multi-Objective: Optimization Methodologies on the VKI-LS89 Turbine Vane Test Case
Hottois, Romain; Châtel, Arnaud; Debruyn, Tom et al.
2023In Journal of Turbomachinery, 145 (3)
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Keywords :
adjoint methods; computational fluid dynamics (CFD); shape optimization; turbine aerodynamic design; turbomachinery blading design; Adjoint methods; Aerodynamic designs; Computational fluid dynamic; Design variables; Gradient based; Optimization problems; Shape-optimization; Turbine aerodynamic design; Turbine aerodynamics; Turbomachinery blading design; Mechanical Engineering
Abstract :
[en] The present paper addresses the multi-objective aerodynamic shape optimization of the two-dimensional LS-89 turbine cascade. The objective is to minimize the entropy generation at subsonic and transonic flow conditions while maintaining the same flow turning. Nineteen design variables are used to parametrize the geometry. The optimization problem is used to compare two major classes of optimization algorithms and at the same time deduce if this problem has multiple local solutions or one global optimum. A first optimization strategy uses a gradient-based Sequential Quadratic Programming (SQP) algorithm. This SQP algorithm allows to directly handle the non-linear constraints during the optimization process. An adjoint solver is used for computing the sensitivities of the flow quantities with respect to the design variables, such that the additional gradient computational cost is nearly independent of the number of design variables. In addition, the same optimization problem is performed with a gradient-free-metamodel assisted-evolutionary algorithm. A comparison of the two Pareto-fronts obtained with both methods shows that the gradient-based approach allows to find the same optimum at a reduced computational cost. Moreover, the results suggest that the considered optimization problem is uni-modal. In other terms, it is characterized by a single optimal solution.
Disciplines :
Aerospace & aeronautics engineering
Author, co-author :
Hottois, Romain ;  Université de Mons - UMONS ; Von Karman Institute for Fluid Dynamics, Turbomachinery & Propulsion Department, Belgium
Châtel, Arnaud;  Von Karman Institute for Fluid Dynamics, Turbomachinery & Propulsion Department, Belgium
Debruyn, Tom;  Von Karman Institute for Fluid Dynamics, Turbomachinery & Propulsion Department, Belgium
Verstraete, Tom;  Von Karman Institute for Fluid Dynamics, Turbomachinery & Propulsion Department, Belgium ; UGent, Department of Electromechanical, Systems and Metal Engineering, Faculty of Engineering and Architecture, Belgium
Coussement, Grégory ;  Université de Mons - UMONS > Faculté Polytechnique > Service des Fluides-Machines
Language :
English
Title :
Comparing Gradient-Free and Gradient-Based Multi-Objective: Optimization Methodologies on the VKI-LS89 Turbine Vane Test Case
Publication date :
February 2023
Journal title :
Journal of Turbomachinery
ISSN :
0889-504X
eISSN :
1528-8900
Publisher :
American Society of Mechanical Engineers (ASME)
Volume :
145
Issue :
3
Peer reviewed :
Peer Reviewed verified by ORBi
Research institute :
R200 - Institut de Recherche en Energie
Available on ORBi UMONS :
since 13 February 2023

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