CAD / , / CAD. Pareto, ;Lee , : (1) CAD China Academic Journal Electronic Publishing House. All rights reserved.

Transcription

1 Journal of Astronautics Vol. 30 January No CAD /, (, ) : CAD / : (1) ; (2) CATIA, CAD ; (3) ; (4) / /, : (1) CAD ; (2) (RCS) ; (3) CAD ; (4) CAD : ; CAD ; ; ; : V1 : A : (2009) DOI: / j. issn (1) CAD, 0,, (2) /, [1 ],,,, CAD /,,,/, (3), Pareto,,CAD, [2 ] ; (4) /, / [3 ] CAD, ( ;Lee ), CAD [4 ],CAD /, CAD CAD,CAD /, [5,6 ] CAD, CAD,/ CAD /,,: : ; :

2 /, 1 CAD / CAD / 1, : (4) () ; (RCS) (5), / 2 /,1 2,/ :,, CAD CATIA,1, 1 CAD / Fig. 1 Flowchart of integrated design for aerodynamic and stealthy performance based on CAD (1),, (2) CAD CAD (UG CATIA Pro/ E ),, CAD, 1),VB VC ++, CAD (3) CAD,,CAD,,, 2 Fig. 2 Blended wing body aircraft planform 2. 1, 3 (1) :, : ; (2) :,,2 [7 ]

3 1 :CAD / 125,,, (3),, CATIA, Her2 mite [8 ],, 2. 2 CAD, CAT2 IA, CATIA 2 :, CATIA CATIA,CATIA OLE(Object Linking and Embedding), COM CATIA,VB CATIA CATIA, ( ), CAD, 3,RCS,,, RCS 4 RCS 4 Fig. 4 Geometric data of aerodynamics and stealth for analysis,, :,,, 5 CATIA 5 CATIA Fig. 5 Internal volume model in CATIA 3 CAD Fig. 3 Generated blended wing body 3 - D CAD model 2. 3 (RCS), CATIA, :, 2. 4 RCS, (FLO22) [9 ] ; 2. 2, FLO22 CAD RCS, / RCS RCS [10 ],, ;

4 126 30,, RCS 4 CAD 2. 5 / : :0. 8 ; 11Km ; : 0 45, : (2, ) : (1) C d ; (2) RCS g : (1) ; (2) ; (3) 29 : (1) C L ; (2) 1/ C m 0 ; (3) V 9. 2m 3 (5) ;, /,, /, Pareto, Pareto CAD ; Shinya NCGA [11 ] (Neighbor2 ; hood Cultivation Genetic Algorithm) ; : 40, 40, CAD, 1. 0,0. 01,CAD / 2. 6 isight [12 ] Pareto 27, 3, 1 A ;C ;B /,, 15 ;, 1 ;, 11 : g= dBm 2 ; C d = , % % A B C 3 1 Pareto Table 1 Typical solutions in Pareto sets g(dbm 2 ) C d CAD,CAD : [ 1 ]. [J ].,2001,22 (1) : [ DAI Quan2hui. Experi2 mental research on the electromagnetic scattering characteristics of a stealthy UAV[J ]. Journal of Astronautics, 2001, 22 (1) : ] [ 2 ],. Pareto [J ].,2006,24 (1) : [ XIA Lu, GAO Zheng2hong. Improving system decomposition method for application to multi2objective optimization of aircraft con2 figuration design[j ]. Journal of Northwestern Polytechnical Universi2 ty,2006,24 (1) : ] [ 3 ],,,. [J ].,2006,24 (2) : [ HE Kai2feng, QIAN Wei2qi, LIU Gang, et al. Aircraft multi2objective design of

5 1 :CAD / 127 aerodynamic and stealthy performance[j ]. Journal of Aerodynamics, 2006,24 (2) : ] [ 4 ] Lee D S, Gonzalez L F,Srinivas K. Multi2objective / Multidisciplinary design optimization of blended wing body UAV via advances evolu2 tionary algorithms[ R]. AIAA [ 5 ] Carty A,Davies C. Fusion of aircraft synthesis and computer aided design[ R]. AIAA [ 6 ] Crawford C, Haimes R. Synthesizing an MDO architecture in CAD [ R]. AIAA [ 7 ] Kulfan B M, Bussoletti J E. Fundamental Parametric Geometry Repr2 esentations for Aircraft Component Shapes [ R ]. AIAA [ 8 ] Trapp J C, Sobieczky H. Interactive Parametric Geometry Design [ R]. AIAA , [ 9 ] Jameson A, Caughey D, Newman P, et al. A Brief Description of the Jameson2Caughey NYU Transonic Swept2wing Computer Program2 FLO22[ R]. NASA TM X273996, [10 ] Youssef N N. Radar cross section of complex targets[j ]. Proceedings of the IEEE, 1989, 77 (5) : [11 ] Shinya W, Tomoyuki H, Mitsunori M. Neighborhood cultivation ge2 netic algorithm for multi2objective optimization problems [ C ]ΠΠPro2 ceedings of 4th Asia2Pacific Conference on Simulated Evolution And Learning. SEAL : 2002 : [12 ] Koch P N, Evans J P, Powell D. Interdigitation for Effective Design Space Exploration Using isight[j ]. Journal of Structural and Mul2 tidisciplinary Optimization, 2002, 23 (2) : :( ),,,, : 271 (210016) : E2mail com Integrated Design of Aerodynamic and Stealthy Performance Based on Parametric CAD Model HU Tian2yuan, YU Xiong2qing (College of Aerospace Engineering,Nanjing University of Aeronautics and Astronautics, Nanjing ,China) Abstract :An approach was proposed for fusion of CAD software and aerodynamic/ stealthy integrated design of flight vehicles. The steps of the approach are : (1) parametric description for the geometry of flight vehicles, (2) automatic generation of three dimension CAD model using the API of CAD software, (3) extraction of specific data from the CAD model for use of aerodynamic and radar cross section analysis, and (4) integrated design of aerodynamic and stealthy performance using the multi2objective optimization. An integrated design problem for a blended wing body aircraft was used to illustrate the detail process of the approach. The advantages of fusion of CAD software into aerodynamic/ stealthy multidisciplinary design optimization were identified as followings : (1) the accurate modeling ability of CAD software was utilized to generate the 32D model ; (2) the parametric CAD model provided an unified model for aerodynam2 ic analysis and Radar Cross Section (RCS) calculation ; (3) the associative geometric information (such as volume, surface area, etc) can be easily obtained during design optimization ; (4) final results obtained from the optimization is directly presented as 32D CAD mod2 el. All these features make the approach more practical in real design problems. Key words : Aircraft design ; Parametric CAD model ; Aerodynamics ; Radar cross section ; Multidisciplinary optimization