Quaternion Aerospace

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+1-778-351-3647
Email
contact@quaternion.aero

Wing MDO Framework

A Multidisciplinary Design Optimization framework for conceptual aircraft wing design has been developed and implemented with a user friendly Graphical User Interface (GUI). The latter is equipped with a DirectX powered 3D interactive viewer. The application itself consists of several modules, covering various disciplines such as aerodynamics, structural analysis or cost analysis. The modularity of this tool paves the way for easy updating and augmentation of its capabilities. Some of the main features are detailed below:

         Geometry module

Definition of wing jig shape using user provided airfoil sections. Changes are visible in real time.

          Aerodynamics module

Doublet Source Lattice aerodynamics code (Zephyr, in-house development).

Calculation of major aerodynamic coefficients and stability derivatives, surface pressure distribution (friction and form drag calculated separately and included in the general pressure field).

Support for up to 3 user defined control surfaces (functioning as flaps or ailerons).

Support for pylon/engine assemblies (pylon and engine contours can be customized by the user).

          Structural module

Fully parameterizable wing structure composed of spars, ribs, stringers and skin panels through a TreeView control (control over positioning, thicknesses, section and material properties, etc.).

Changes to the wing structure are visible in real time.

         Aeroelasticity module

Use of in-house developed meshing code in pre-processing. Coupling with FEAP® finite element solver (University of California, Berkeley). Post processing in application interface (displacement and stress fields).

Option for fully coupled aeroelastic analysis (fluid-structure two-way interaction) using FEAP®.

Optional output in APDL (ANSYS® Parametric Design Language) format for use with ANSYS® Multiphysics®.

          Optimization module

Customizable design optimization problems: ability to choose from a set of over 300 variables.

Gradient based optimization (CFSQP optimization code by AEM Design) using either direct evaluation or a surrogate model approach.

Surrogate model types: Quadratic interpolation, regression Kriging or Artificial Neural Networks.

Robustness and reliability based analysis and optimization methods available (RDO, RBDO and a hybrid implementation named R2BDO).

Real time optimization history plots

 

Please call or email us for additional information.