Strategies for adding features to CAD models in order to optimize performance

This paper presents an approach which enables new parameters to be added to a CAD model for optimization purposes. It aims to remove a common roadblock to CAD based optimization, where the parameterization of the model does not offer the shape sufficient flexibility for a truly optimized shape to be...

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Bibliographic Details
Published in:Structural and multidisciplinary optimization 2012-09, Vol.46 (3), p.415-424
Main Authors: Robinson, Trevor T., Armstrong, Cecil G., Chua, Hung Soon
Format: Article
Language:English
Subjects:
Computational Mathematics and Numerical Analysis
Design optimization
Engineering
Engineering Design
Flexibility
Mathematical models
Parameterization
Parameters
Research Paper
Sensitivity
Shape optimization
Theoretical and Applied Mechanics
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Summary:This paper presents an approach which enables new parameters to be added to a CAD model for optimization purposes. It aims to remove a common roadblock to CAD based optimization, where the parameterization of the model does not offer the shape sufficient flexibility for a truly optimized shape to be created. A technique has been developed which uses adjoint based sensitivity maps to predict the sensitivity of performance to the addition to a model of four different feature types, allowing the feature providing the greatest benefit to be selected. The optimum position to add the feature is also discussed. It is anticipated that the approach could be used to iteratively add features to a model, providing greater flexibility to the shape of the model, and allowing the newly-added parameters to be used as design variables in a subsequent shape optimization.
ISSN:1615-147X
1615-1488
DOI:10.1007/s00158-012-0770-z