Title :
Multidisciplinary design optimization of composite wing by parametric modeling
Author :
Hao Liang ; Haoquan Liang ; Ming Zhu ; Xiao Guo
Author_Institution :
Sch. of Aeronaut. Sci. & Eng., BEIHANG Univ., Beijing, China
Abstract :
In order to take into account the different requirements in aerodynamic and structural discipline, the optimization of a composite wing design is conducted using multidisciplinary design optimization (MDO) method. The geometry model of the wing is generated automatically through a parametric-modeling approach. The computational fluid dynamics (CFD) grid is generated automatically from parametric modeling using CATIA and ICEM CFD, followed by automatic flow analysis using FLUENT. The structural finite element analysis (FEA) grid is generated automatically by the parametric methods of CATIA and MSC/Patran. The structure is optimized by MSC/Nastran, and the aerodynamic load is transferred from the CFD grid to the FEA grid using the inverse distance weighted (IDW) interpolation method. The response surface method is applied for optimization and the optima of the current surrogate model is used to update the sample points. The developed MDO framework is applied to a wing optimization problem, and the optimization design result demonstrates this method could reduce the wing´s structural weight.
Keywords :
aerodynamics; aerospace components; computational fluid dynamics; design engineering; finite element analysis; optimisation; response surface methodology; CATIA; CFD grid; FEA grid; FLUENT; ICEM CFD; IDW interpolation method; MDO framework; MDO method; MSC/Patran; aerodynamic discipline; aerodynamic load; automatic flow analysis; composite wing design optimization; computational fluid dynamics grid; geometry model; inverse distance weighted interpolation method; multidisciplinary design optimization; optimization design; parametric methods; parametric modeling; parametric-modeling approach; response surface method; structural discipline; structural finite element analysis grid; structure optimization; surrogate model; wing optimization problem; wing structural weight reduction; Aerodynamics; Analytical models; Computational fluid dynamics; Computational modeling; Interpolation; Load modeling; Optimization; aerodynamic; multidisciplinary design optimization; response surface model; structure; wing;
Conference_Titel :
Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
Conference_Location :
Shengyang
Print_ISBN :
978-1-4799-2564-3
DOI :
10.1109/MEC.2013.6885527