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Advances in DesignPredicting Design Quality through Sensitivity Modeling

Advances in Design: Predicting Design Quality through Sensitivity Modeling [This paper presents a modeling approach that can be used as an engineering design tool to predict the effects of various design choices on product quality. The mathematical model provides a rigorous functional relationship between dependent and independent variables. The dependent variables quantify product quality in the physical domain in terms of design functional requirements the product must possess. The independent variables quantify the design choices in terms of nominal dimensions, degrees of freedom and tolerances. An example application is presented to illustrate how product quality can be achieved by appropriately tuning the design parameters in a constrained design context.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Advances in DesignPredicting Design Quality through Sensitivity Modeling

Part of the Springer Series in Advanced Manufacturing Book Series
Editors: ElMaraghy, Hoda A.; ElMaraghy, Waguih H.
Laperrière, Luc; Ghie, Walid; Desrochers, Alain
Advances in Design — Jan 1, 2006
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References (5)

Publisher
Springer London
Copyright
© Springer-Verlag London Limited 2006
ISBN
978-1-84628-004-7
Pages
473 –485
DOI
10.1007/1-84628-210-1_39
Publisher site
See Chapter on Publisher Site

Abstract

[This paper presents a modeling approach that can be used as an engineering design tool to predict the effects of various design choices on product quality. The mathematical model provides a rigorous functional relationship between dependent and independent variables. The dependent variables quantify product quality in the physical domain in terms of design functional requirements the product must possess. The independent variables quantify the design choices in terms of nominal dimensions, degrees of freedom and tolerances. An example application is presented to illustrate how product quality can be achieved by appropriately tuning the design parameters in a constrained design context.]

Published: Jan 1, 2006

Keywords: design; tolerances; quality; sensitivity; modeling

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