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Title: Development and characterisation of error functions in design
Authors: Goh, Yee M.
McMahon, Chris
Booker, J.D.
Keywords: Uncertainty characterisation
Error functions
Simulation-based design
Knowledge management
Variant design
Issue Date: 2007
Publisher: © Springer-Verlag
Citation: GOH, Y.M., McMAHON, C. and BOOKER, J.D., 2007. Development and characterisation of error functions in design. Research in Engineering Design, 18 (3), pp. 129-148.
Abstract: As simulation is increasingly used in product development, there is a need to better characterise the errors inherent in simulation techniques by comparing such techniques with evidence from experiment, test and inservice. This is necessary to allow judgement of the adequacy of simulations in place of physical tests and to identify situations where further data collection and experimentation need to be expended. This paper discusses a framework for uncertainty characterisation based on the management of design knowledge leading to the development and characterisation of error functions. A classification is devised in the framework to identify the most appropriate method for the representation of error, including probability theory, interval analysis and Fuzzy set theory. The development is demonstrated with two case studies to justify rationale of the framework. Such formal knowledge management of design simulation processes can facilitate utilisation of cumulated design knowledge as companies migrate from testing to simulation-based design.
Version: Accepted for publication
DOI: 10.1007/s00163-007-0034-x
URI: https://dspace.lboro.ac.uk/2134/7999
Publisher Link: http://dx.doi.org/10.1007/s00163-007-0034-x
ISSN: 0934-9839
1435-6066
Appears in Collections:Published Articles (Mechanical and Manufacturing Engineering)

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