Industrial Optimal Design using Adjoint CFD
Published July 26, 2017 | Version v1
Journal article Open

Parametric design velocity computation for CAD-based design optimization using adjoint methods

Creators

  • 1. Queens University Belfast
  • 2. Rolls-Royce Deutschland

Description

This paper presents an efficient optimization process, where the parameters defining the features in a feature-based CAD model are used as design variables. The process exploits adjoint methods for the computation of gradients, and as such the computational cost is essentially independent of the number of design variables, making it ideal for optimization in large design spaces. The novelty of this paper lies in linking the adjoint surface sensitivity information with geometric sensitivity values, referred to as design velocities, computed for CAD models created in commercial CAD systems (e.g. CATIA V5 or Siemens NX).

Files

Design_Velocity for optimisation Paper_Final.pdf

Files (1.6 MB)

Additional details

Funding

IODA – Industrial optimal design using adjoint CFD 642959
European Commission