Aeroelastic passive control optimization of supersonic composite wing with external stores

3rd International Conference on Mechanical, Automotive and Aerospace Engineering 2016

机械制造;无线电电子学;航空航天工程

Sulaeman, E.^1 ; Abdullah, N.A.^1,2 ; Kashif, S.M.^1,3

Department of Mechanical Engineering, International Islamic University Malaysia, Malaysia^1

Department Aerospace Engineering, University of Sheffield, United Kingdom^2

SABIC, Netherlands^3

关键词: Aeroelastic flutter;    Aeroelastic instabilities;    Aeroelastic tailoring;    Divergence instability;    Doublet-lattice method;    Optimization variables;    Unsteady aerodynamic load;    Wing configurations;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/184/1/012010/pdf
DOI  :  10.1088/1757-899X/184/1/012010

学科分类：航空航天科学

来源: IOP

【 摘 要 】

This paper provides a study on passive aeroelastic control optimization, by means of aeroelastic tailoring, of a composite supersonic wing equipped with external stores. The objective of the optimization is to minimize wing weight by considering the aeroelastic flutter and divergence instability speeds as constraints at several flight altitudes. The optimization variables are the composite ply angle and skin thickness of the wing box, wing rib and its control surfaces. The aeroelastic instability speed is set as constraint such that it should be higher than the flutter speed of a metallic base line model of supersonic wing having previously published. A finite element analysis is applied to determine the stiffness and mass matric of the wing and its multi stores. The boundary element method in the form of doublet lattice method is used to model the unsteady aerodynamic load. The results indicate that, for the present wing configuration, the high modulus Graphite/Epoxy composite provides a desired higher flutter speed and lower wing weight compare to that of Kevlar/Epoxy composite as well as the base line metallic wing materials. The aeroelastic boundary thus can be enlarged to higher speed zone and in the same time reduce the structural weight which is important for a further optimization process.