A Study of Multi-Objective Aerodynamic Optimization Design for Variable Camber Airfoils and High Lift Devices
Aiming at the synthetical optimization of the aerodynamic performance between the low-speed condition of two-dimensional high lift devices during take-off and landing phase and the high-speed condition of variable camber airfoil during cruise phase, an aerodynamic optimization design method for high...
| Format: | Article |
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| Language: | zho |
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EDP Sciences
2018-02-01
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| Series: | Xibei Gongye Daxue Xuebao |
| Subjects: | |
| Online Access: | https://www.jnwpu.org/articles/jnwpu/pdf/2018/01/jnwpu2018361p83.pdf |
| _version_ | 1827613189822480384 |
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| collection | DOAJ |
| description | Aiming at the synthetical optimization of the aerodynamic performance between the low-speed condition of two-dimensional high lift devices during take-off and landing phase and the high-speed condition of variable camber airfoil during cruise phase, an aerodynamic optimization design method for high lift device based on Kriging based surrogate model and multi-objective genetic algorithm has been developed. With the application of Adaptive Dropped Hinge Flap mechanism, the low-speed take-off and landing performance and high-speed cruise performance of the aircraft is improved by coupling deflection of the flap and spoiler. The position of flap hinge, deflection angle of spoiler and deflection angle of flap are taken as design variables; The Navier-Stokes equations are used to predict the aerodynamic forces of initial samples; The Kriging based surrogate model is employed to establish the algebraic relation between design variables and aerodynamic forces at take off, landing and cruise, obtaining four efficient prediction models for aerodynamic forces; Multi-objective optimization design with multi-objective genetic algorithm is conducted on the basis of surrogate models. The automatic generation of computational grid is achieved by the mesh deformation method based on RBF (Radial Basis Function) when the design variables change. On the basis of efficient global multi-objective optimization design platform, the synthetical optimization of high-speed and low-speed aerodynamic performance is conducted; The multi-objective solution set of the Pareto frontier is verified and analyzed, and the optimal solution with well matched high and low speed performance is selected. |
| first_indexed | 2024-03-09T08:35:16Z |
| format | Article |
| id | doaj.art-bf3c4f33c94b4eef92afbf353ade48b6 |
| institution | Directory Open Access Journal |
| issn | 1000-2758 |
| language | zho |
| last_indexed | 2024-03-09T08:35:16Z |
| publishDate | 2018-02-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | Xibei Gongye Daxue Xuebao |
| spelling | doaj.art-bf3c4f33c94b4eef92afbf353ade48b62023-12-02T18:26:43ZzhoEDP SciencesXibei Gongye Daxue Xuebao1000-27582018-02-01361839010.1051/jnwpu/20183610083jnwpu2018361p83A Study of Multi-Objective Aerodynamic Optimization Design for Variable Camber Airfoils and High Lift DevicesAiming at the synthetical optimization of the aerodynamic performance between the low-speed condition of two-dimensional high lift devices during take-off and landing phase and the high-speed condition of variable camber airfoil during cruise phase, an aerodynamic optimization design method for high lift device based on Kriging based surrogate model and multi-objective genetic algorithm has been developed. With the application of Adaptive Dropped Hinge Flap mechanism, the low-speed take-off and landing performance and high-speed cruise performance of the aircraft is improved by coupling deflection of the flap and spoiler. The position of flap hinge, deflection angle of spoiler and deflection angle of flap are taken as design variables; The Navier-Stokes equations are used to predict the aerodynamic forces of initial samples; The Kriging based surrogate model is employed to establish the algebraic relation between design variables and aerodynamic forces at take off, landing and cruise, obtaining four efficient prediction models for aerodynamic forces; Multi-objective optimization design with multi-objective genetic algorithm is conducted on the basis of surrogate models. The automatic generation of computational grid is achieved by the mesh deformation method based on RBF (Radial Basis Function) when the design variables change. On the basis of efficient global multi-objective optimization design platform, the synthetical optimization of high-speed and low-speed aerodynamic performance is conducted; The multi-objective solution set of the Pareto frontier is verified and analyzed, and the optimal solution with well matched high and low speed performance is selected.https://www.jnwpu.org/articles/jnwpu/pdf/2018/01/jnwpu2018361p83.pdfhigh lift devicevariable camber airfoilhigh and low speedsurrogate modelmulti-objective optimizationaerodynamic configurations |
| spellingShingle | A Study of Multi-Objective Aerodynamic Optimization Design for Variable Camber Airfoils and High Lift Devices Xibei Gongye Daxue Xuebao high lift device variable camber airfoil high and low speed surrogate model multi-objective optimization aerodynamic configurations |
| title | A Study of Multi-Objective Aerodynamic Optimization Design for Variable Camber Airfoils and High Lift Devices |
| title_full | A Study of Multi-Objective Aerodynamic Optimization Design for Variable Camber Airfoils and High Lift Devices |
| title_fullStr | A Study of Multi-Objective Aerodynamic Optimization Design for Variable Camber Airfoils and High Lift Devices |
| title_full_unstemmed | A Study of Multi-Objective Aerodynamic Optimization Design for Variable Camber Airfoils and High Lift Devices |
| title_short | A Study of Multi-Objective Aerodynamic Optimization Design for Variable Camber Airfoils and High Lift Devices |
| title_sort | study of multi objective aerodynamic optimization design for variable camber airfoils and high lift devices |
| topic | high lift device variable camber airfoil high and low speed surrogate model multi-objective optimization aerodynamic configurations |
| url | https://www.jnwpu.org/articles/jnwpu/pdf/2018/01/jnwpu2018361p83.pdf |