NDLI: Determining the parametric effectiveness of a CAD model

Content Provider	Springer Nature Link
Author	Robinson, Trevor T. Armstrong, Cecil G. Chua, Hung Soon
Copyright Year	2012
Abstract	The motivation for this paper is to present an approach for rating the quality of the parameters in a computer-aided design model for use as optimization variables. Parametric Effectiveness is computed as the ratio of change in performance achieved by perturbing the parameters in the optimum way, to the change in performance that would be achieved by allowing the boundary of the model to move without the constraint on shape change enforced by the CAD parameterization. The approach is applied in this paper to optimization based on adjoint shape sensitivity analyses. The derivation of parametric effectiveness is presented for optimization both with and without the constraint of constant volume. In both cases, the movement of the boundary is normalized with respect to a small root mean squared movement of the boundary. The approach can be used to select an initial search direction in parameter space, or to select sets of model parameters which have the greatest ability to improve model performance. The approach is applied to a number of example 2D and 3D FEA and CFD problems.
Starting Page	111
Ending Page	126
Page Count	16
File Format	PDF
ISSN	01770667
Journal	Engineering with Computers
Volume Number	29
Issue Number	1
e-ISSN	14355663
Language	English
Publisher	Springer-Verlag
Publisher Date	2012-01-17
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Parametric effectiveness Adjoint sensitivity Design velocity CAD Computer-Aided Engineering (CAD, CAE) and Design Math. Applications in Chemistry Systems Theory, Control Calculus of Variations and Optimal Control; Optimization Mechanics ApplicationMathematics/Computational Methods of Engineering
Content Type	Text
Resource Type	Article
Subject	Engineering Computer Science Applications Modeling and Simulation Software

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