Development and characterisation of error functions in design |
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Authors: | Y M Goh C A McMahon J D Booker |
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Affiliation: | (1) Department of Mechanical Engineering, University of Bath, Bath, BA2 7AY, UK;(2) Department of Mechanical Engineering, University of Bristol, Bristol, BS8 1TR, UK |
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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 in-service. 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.
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Keywords: | Uncertainty characterisation Error functions Simulation-based design Knowledge management Variant design |
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