Knowledge-Based Shape Optimization of Morphing Wing for More Efficient Aircraft

Abstract EN

An optimization procedure for the shape design of morphing aircraft is presented.

The process iscoupled with a knowledge-based framework combining parametric geometry representation, multidisciplinary modelling, and genetic algorithm.

The parameterization method exploits the implicit properties of the Bernstein polynomial least squares fitting to allow both local and global shapecontrol.

The framework is able to introduce morphing shape changes in a feasible way, taking intoaccount the presence of structural parts, such as the wing-box, the physical behaviour of the morphingskins, and the effects that these modifications have on the aerodynamic performances.

It inheritsCAD capabilities of generating 3D deformed morphing shapes and it is able to automatically produceaerodynamic and structural models linked to the same parametric geometry.

Dedicated crossoverand mutation strategies are used to allow the parametric framework to be efficiently incorporatedinto the genetic algorithm.

This procedure is applied to the shape design of Reference Aircraft(RA) and to the assessment of the potential benefits that morphing devices can bring in terms ofaircraft performances.

It is adopted for the design of a variable camber morphing wing to investigatethe effect of conformal leading and trailing edge control surfaces.

Results concerning four differentmorphing configurations are reported.