Compter-aided design model parameterisation to derive knowledge useful for manufacturing design decisions

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Abstract

This paper presents a number of novel approaches for deriving intelligence from the parameterisation of Computer-Aided Design (CAD) models to assist the engineer in making manufacturing related decisions. During the design process a disjoint can occur between the nominally defined CAD feature parameters and the dimensions which govern manufacture and influence ease of product assembly. In this work a link between the two representations is established, which simplifies the process of using the parameters defining the features in the CAD model to make manufacturing related decisions such as the allocation of dimensional tolerances or dealing with fit issues. It also offers insights about how the model should be parameterised to provide the optimal model utility from the designer’s perspective with respect to the manufacturing domain.
LanguageEnglish
Pages621-628
Number of pages8
JournalProceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
Volume232
Issue number4
Early online date16 May 2017
DOIs
Publication statusPublished - 01 Mar 2018

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Parameterization
Computer aided design
Engineers

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title = "Compter-aided design model parameterisation to derive knowledge useful for manufacturing design decisions",
abstract = "This paper presents a number of novel approaches for deriving intelligence from the parameterisation of Computer-Aided Design (CAD) models to assist the engineer in making manufacturing related decisions. During the design process a disjoint can occur between the nominally defined CAD feature parameters and the dimensions which govern manufacture and influence ease of product assembly. In this work a link between the two representations is established, which simplifies the process of using the parameters defining the features in the CAD model to make manufacturing related decisions such as the allocation of dimensional tolerances or dealing with fit issues. It also offers insights about how the model should be parameterised to provide the optimal model utility from the designer’s perspective with respect to the manufacturing domain.",
author = "Trevor Robinson and Imelda Friel and Armstrong, {Cecil G} and Adrian Murphy and Joseph Butterfield and Mark Price and Adelaide Marzano",
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AU - Murphy, Adrian

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AU - Price, Mark

AU - Marzano, Adelaide

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