Wright, L; Yang, X-S; Matthews, C; Chapman, L; Roberts, S (2011) Parameter estimation from laser flash experiment data. In: Computational Optimization and Applications in Engineering and Industry. Springer, pp. 205-220. ISBN 9783642209857

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Abstract

Optimization techniques are commonly used for parameter estimation in a wide variety of applications. The application described here is a laser flash thermal diffusivity experiment on a layered sample where the thermal properties properties of some of the layers are unknown. The aim is to estimate the unknown properties by minimising, in a least squares sense, the difference between model predictions and measured data. Two optimization techniques have been applied to the problem. Results suggest that the classical nonlinear least-square optimizer is more efficient than PSO for this type of problem. Results have also highlighted the importance of defining a suitable objective function and choosing appropriate parameters.

Item Type:	Book Chapter/Section
Subjects:	Mathematics and Scientific Computing Mathematics and Scientific Computing > Modelling
Publisher:	Springer
Last Modified:	02 Feb 2018 13:14
URI:	http://eprintspublications.npl.co.uk/id/eprint/5189

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