In this paper, the continuous adjoint method, developed by NTUA in the Open-FOAM R environment, is coupled with an RBF-based morpher developed by UTV to tackle optimization problems in low-speed aeronautics. The adjoint method provides a fast and accurate way for computing the sensitivity derivatives of the objective functions (here, drag, lift and losses) with respect to the design variables. The latter are defined as a set of variables controlling a group of RBF control points used to deform both the surface and volume mesh of the computational domain. The use of the RBF-based morpher provides a fast and robust way of handling mesh and geometry deformations, facing two challenging tasks related to shape optimization with the same tool. The coupling of the above-mentioned tools is used to tackle (a) the minimization of the cooling losses for an electric motor installed on a lightweight aircraft, by controlling the cooling air intake shape and (b) the shape optimization of a glider geometry targeting maximum lift-to-drag ratio by mainly optimizing the wing-fuselage junction. Regarding problem (a), a porous media is utilized to simulate the pressure drop caused by the radiator; the adjoint to this porosity model is developed and presented. This work was carried out in the framework of the EU-funded RBF4AERO project and the presented methods are available through the RBF4AERO platform (www.rbf4aero.eu).

In this paper, the continuous adjoint method, developed by NTUA in the Open-FOAM® environment, is coupled with an RBF-based morpher developed by UTV to tackle optimization problems in low-speed aeronautics. The adjoint method provides a fast and accurate way for computing the sensitivity derivatives of the objective functions (here, drag, lift and losses) with respect to the design variables. The latter are defined as a set of variables controlling a group of RBF control points used to deform both the surface and volume mesh of the computational domain. The use of the RBF-based morpher provides a fast and robust way of handling mesh and geometry deformations, facing two challenging tasks related to shape optimization with the same tool. The coupling of the above-mentioned tools is used to tackle (a) the minimization of the cooling losses for an electric motor installed on a lightweight aircraft, by controlling the cooling air intake shape and (b) the shape optimization of a glider geometry targeting maximum lift-to-drag ratio by mainly optimizing the wing-fuselage junction. Regarding problem (a), a porous media is utilized to simulate the pressure drop caused by the radiator; the adjoint to this porosity model is developed and presented. This work was carried out in the framework of the EU-funded RBF4AERO project and the presented methods are available through the RBF4AERO platform (www.rbf4aero.eu).

Papoutsis-Kiachagias, E.m., Andrejasic, M., Porziani, S., Groth, C., Erzen, D., Biancolini, M.e., et al. (2016). Combining an RBF-based morpher with continuous adjoint for low-speed aeronautical optimization applications. In Proceedings of the VII European Congress on Computational Methods in Applied Sciences and Engineering (pp.6471-6484). National Technical University of Athens [10.7712/100016.2270.15521].

Combining an RBF-based morpher with continuous adjoint for low-speed aeronautical optimization applications

PORZIANI, STEFANO;GROTH, CORRADO;BIANCOLINI, MARCO EVANGELOS;COSTA, EMILIANO;
2016

Abstract

In this paper, the continuous adjoint method, developed by NTUA in the Open-FOAM R environment, is coupled with an RBF-based morpher developed by UTV to tackle optimization problems in low-speed aeronautics. The adjoint method provides a fast and accurate way for computing the sensitivity derivatives of the objective functions (here, drag, lift and losses) with respect to the design variables. The latter are defined as a set of variables controlling a group of RBF control points used to deform both the surface and volume mesh of the computational domain. The use of the RBF-based morpher provides a fast and robust way of handling mesh and geometry deformations, facing two challenging tasks related to shape optimization with the same tool. The coupling of the above-mentioned tools is used to tackle (a) the minimization of the cooling losses for an electric motor installed on a lightweight aircraft, by controlling the cooling air intake shape and (b) the shape optimization of a glider geometry targeting maximum lift-to-drag ratio by mainly optimizing the wing-fuselage junction. Regarding problem (a), a porous media is utilized to simulate the pressure drop caused by the radiator; the adjoint to this porosity model is developed and presented. This work was carried out in the framework of the EU-funded RBF4AERO project and the presented methods are available through the RBF4AERO platform (www.rbf4aero.eu).
7th European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS Congress 2016
grc
2016
Rilevanza internazionale
Settore ING-IND/14 - Progettazione Meccanica e Costruzione di Macchine
English
In this paper, the continuous adjoint method, developed by NTUA in the Open-FOAM® environment, is coupled with an RBF-based morpher developed by UTV to tackle optimization problems in low-speed aeronautics. The adjoint method provides a fast and accurate way for computing the sensitivity derivatives of the objective functions (here, drag, lift and losses) with respect to the design variables. The latter are defined as a set of variables controlling a group of RBF control points used to deform both the surface and volume mesh of the computational domain. The use of the RBF-based morpher provides a fast and robust way of handling mesh and geometry deformations, facing two challenging tasks related to shape optimization with the same tool. The coupling of the above-mentioned tools is used to tackle (a) the minimization of the cooling losses for an electric motor installed on a lightweight aircraft, by controlling the cooling air intake shape and (b) the shape optimization of a glider geometry targeting maximum lift-to-drag ratio by mainly optimizing the wing-fuselage junction. Regarding problem (a), a porous media is utilized to simulate the pressure drop caused by the radiator; the adjoint to this porosity model is developed and presented. This work was carried out in the framework of the EU-funded RBF4AERO project and the presented methods are available through the RBF4AERO platform (www.rbf4aero.eu).
Aeronautical optimization; Continuous adjoint; RBF morphing;
Intervento a convegno
Papoutsis-Kiachagias, E.m., Andrejasic, M., Porziani, S., Groth, C., Erzen, D., Biancolini, M.e., et al. (2016). Combining an RBF-based morpher with continuous adjoint for low-speed aeronautical optimization applications. In Proceedings of the VII European Congress on Computational Methods in Applied Sciences and Engineering (pp.6471-6484). National Technical University of Athens [10.7712/100016.2270.15521].
Papoutsis Kiachagias, E; Andrejasic, M; Porziani, S; Groth, C; Erzen, D; Biancolini, Me; Costa, E; Giannakoglou, K
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2108/169535
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