Parameter estimation from laser flash experiment data
Book chapter
Wright, L., Yang, X., Matthews, C., Chapman, L. and Roberts, S. 2011. Parameter estimation from laser flash experiment data. in: Computational optimization and applications in engineering and industry studies in computational intelligence Berlin Springer.
Chapter title | Parameter estimation from laser flash experiment data |
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Authors | Wright, L., Yang, X., Matthews, C., Chapman, L. and Roberts, S. |
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. |
Book title | Computational optimization and applications in engineering and industry studies in computational intelligence |
Publisher | Springer |
Place of publication | Berlin |
Series | Studies in Computational Intelligence |
ISBN | |
Hardcover | 9783642209857 |
Publication dates | |
2011 | |
Publication process dates | |
Deposited | 19 Nov 2012 |
Output status | Published |
Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-642-20986-4_8 |
Language | English |
https://repository.mdx.ac.uk/item/83w9y
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