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

Trevor Robinson, Imelda Friel, Cecil G. Armstrong, Adrian Murphy, Joe Butterfield, Mark Price, Adelaide Marzano

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

This article presents a number of novel approaches for deriving intelligence from the parameterisation of computer-aided design models to assist the engineer in making manufacturing-related decisions. During the design process, a disjoint can occur between the nominally defined computer-aided design 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 computer-aided design 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.
Original languageEnglish
Pages (from-to)621-628
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 - 1 Mar 2018
Externally publishedYes

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