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Download fileDevelopment and characterisation of error functions in design
journal contribution
posted on 2011-02-10, 16:32 authored by Yee GohYee Goh, Chris McMahon, J.D. BookerAs 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.
History
School
- Mechanical, Electrical and Manufacturing Engineering
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.Publisher
© Springer-VerlagVersion
- AM (Accepted Manuscript)
Publication date
2007ISSN
0934-9839;1435-6066Publisher version
Language
- en