Far-Field Drag-Prediction Technique Applied to Wing Design for Civil Aircraft

2003 ◽  
Vol 40 (3) ◽  
pp. 425-431 ◽  
Author(s):  
Jie Li ◽  
Fengwei Li ◽  
Qin E.
Keyword(s):  
Far Field ◽  
Wing Design ◽  
Civil Aircraft ◽  
Prediction Technique ◽  
Drag Prediction

Far-Field Induced Drag Prediction Using Vorticity Confinement Technique

2014 ◽  
Vol 51 (6) ◽  
pp. 1953-1958 ◽  
Author(s):  
Troy Snyder ◽  
Alex Povitsky
Keyword(s):  
Far Field ◽  
Induced Drag ◽  
Vorticity Confinement ◽  
Drag Prediction

Esso Energy Award Lecture, 1987 - Application of aerodynamic research and development to civil aircraft wing design

1988 ◽  
Vol 416 (1850) ◽  
pp. 43-62
Keyword(s):  
Technological Progress ◽  
Computational Fluid Mechanics ◽  
Aerodynamic Design ◽  
Wing Design ◽  
High Lift ◽  
Business Jet ◽  
Civil Aircraft ◽  
Research Programmes ◽  
The Government

In the late 1950s the aerodynamicists at what is now the Hatfield site of British Aerospace accepted the challenge and met British European Airways’ demand for a 600 m. p. h. ( ca . 966 km h -1 ) short-haul jet airliner (the Trident). The experience and organization resulting from that project was the cornerstone on which the subsequent success story of civil wing design has been built. The substantial advances in efficiency achieved by the Hatfield team in the following designs for the 125 Business Jet, the 146 Feederliner and for the Airbus Industrie family of Wide-Body Mainline aircraft, has been supported by research programmes in the government establishments and universities as well as industry itself. Each project had its individual demands for fuel economy, high lift capability and structural efficiency, with commercial competition continually driving technological progress. The major highlights and achievements of the aerodynamic development programmes for these projects are reviewed. Turning to the present, the Hatfield team are currently working on the aerodynamic design for the combined Airbus A330/340 project. Technological progress continues apace with major investment in computational fluid mechanics, but the still essential role of experimental test techniques and facilities is emphasized.

scholarly journals Computational Drag Prediction of the DPW4 Configuration Using the Far-Field Approach

2011 ◽  
Vol 48 (5) ◽  
pp. 1658-1670 ◽  
Author(s):  
David Hue ◽  
Sebastien Esquieu
Keyword(s):  
Far Field ◽  
Field Approach ◽  
Drag Prediction

Far-Field Drag Prediction and Decomposition Method for Unsteady Flows

2011 ◽  
Author(s):  
Martin Gariepy ◽  
Jean-yves Trepanier ◽  
Benoit Malonin ◽  
Christian Masson
Keyword(s):  
Decomposition Method ◽  
Unsteady Flows ◽  
Far Field ◽  
Drag Prediction

Convergence Criterion for a Far-Field Drag Prediction and Decomposition Method

AIAA Journal ◽  
2011 ◽  
Vol 49 (12) ◽  
pp. 2814-2818 ◽  
Author(s):  
Martin Gariépy ◽  
Jean-Yves Trépanier ◽  
Christian Masson
Keyword(s):  
Decomposition Method ◽  
Convergence Criterion ◽  
Far Field ◽  
Drag Prediction

scholarly journals Drag prediction method of powered-on civil aircraft based on thrust drag bookkeeping

2015 ◽  
Vol 28 (4) ◽  
pp. 1023-1033 ◽  
Author(s):  
Yufei Zhang ◽  
Haixin Chen ◽  
Song Fu ◽  
Miao Zhang ◽  
Meihong Zhang
Keyword(s):  
Prediction Method ◽  
Civil Aircraft ◽  
Drag Prediction

Drag Prediction Workshop 4 Results Using Different Grids Including Near-Field/Far-Field Drag Analysis

2013 ◽  
Vol 50 (5) ◽  
pp. 1615-1627 ◽  
Author(s):  
Jan B. Vos ◽  
Stephane Sanchi ◽  
Alain Gehri
Keyword(s):  
Near Field ◽  
Far Field ◽  
Drag Prediction ◽  
Drag Analysis

scholarly journals Aerodynamic Design and Shape Optimization with the Far-Field Drag Decomposition Approach

2020 ◽  
Vol 38 (3) ◽  
pp. 558-570
Author(s):  
Li Li ◽  
Junqiang Bai ◽  
Xiaolong He
Keyword(s):  
Shape Optimization ◽  
Axial Velocity ◽  
Decomposition Method ◽  
Far Field ◽  
Aerodynamic Shape Optimization ◽  
Decomposition Approach ◽  
Total Drag ◽  
Velocity Defect ◽  
Aerodynamic Shape ◽  
Drag Prediction

In the aerodynamic shape design, the drag prediction has always been an extremely challenging mission for the exploration of a configuration. As for the more complex configurations, it is especially desired to the availability of a highly accurate and reliable aerodynamic numerical solution. For improving the drag prediction accuracy and promoting the aerodynamic shape designs, firstly, the characteristics of drag prediction based on far-field drag method and near-field drag method is analyzed and compared. Also, the merits and demerits of defining axial velocity defect with the current main far-field drag prediction approaches is summarized, which promotes the building of the improved method of axial velocity defect and the improved far-field drag prediction and decomposition approach. Moreover, during the establishment of the drag decomposition method, it is necessary to judge and decide on the selection of the drag region. Therefore, the discussions on the sensitivity of the relevant parameters are fulfilled. Furthermore, based on the far-field drag prediction and decomposition method constructed, the aerodynamic performance research of Common Research Model wing-body configuration is launched. The results show that it can effectively observe and analyze the changes in drag components, their impact on the total drag and the contribution percentage. Finally, combining the far-field drag prediction and decomposition method proposed in this paper with a gradient-based aerodynamic shape optimization design system, the aerodynamic shape optimization designs are studied with CRM wing-body configuration. The results can not only directly analyze the detailed change of the visualized drag region, but also can obtain the more accurate total drag and lift-to-drag ratio of the optimized configuration by removing the spurious drag.

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