Parameter estimation from laser flash experiment data

Wright, Louise, Yang, Xin-She ORCID: https://orcid.org/0000-0001-8231-5556, Matthews, Clare, Chapman, Lindsay and Roberts, Simon (2011) Parameter estimation from laser flash experiment data. In: Computational optimization and applications in engineering and industry studies in computational intelligence. Studies in Computational Intelligence, 359 (359) . Springer, Berlin, pp. 205-220. ISBN 9783642209857. [Book Section] (doi:10.1007/978-3-642-20986-4_8)

Abstract

Optimisation 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 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 optimisation techniques have been applied to the problem. Results suggest that the classical nonlinear least-squares optimiser is more efficient than particle swarm optimisation (PSO) for this type of problem. Results have also highlighted the importance of defining a suitable objective function and choosing appropriate model parameters.

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