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

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

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.
LanguageEnglish
Pages415-424
JournalStructural and Multidisciplinary Optimization
Volume46
Issue number3
Early online date31 Jan 2012
DOIs
Publication statusPublished - Sep 2012

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Computer aided design
Optimise
Flexibility
Model
Optimization
Shape Optimization
Shape optimization
Parameterization
Strategy
Sufficient

Cite this

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Strategies for adding features to CAD models in order to optimize performance. / Robinson, Trevor T.; Armstrong, Cecil G.; Chua, Hung Soon.

In: Structural and Multidisciplinary Optimization, Vol. 46, No. 3, 09.2012, p. 415-424.

Research output: Contribution to journalArticle

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