Mechanical Characterisation of Thermal Barrier Coatings Using a Micro-Indentation Instrumented Technique

Abstract:

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An original instrumented microindenter capable of testing materials up to 1000°C in an inert atmosphere has been developed. The method of neural networks is used to solve the inverse problem, in order to determine the constitutive equation of the materials tested. To obtain a data basis for the training and validation of the neural network, finite element simulations were carried out for various sets of material parameters. To reduce the number of simulations a representative sampling of the loading-strain responses is performed using an unsupervised network, so-called self-organizing map.

Info:

Periodical:

Key Engineering Materials (Volumes 345-346)

Edited by:

S.W. Nam, Y.W. Chang, S.B. Lee and N.J. Kim

Pages:

829-832

DOI:

10.4028/www.scientific.net/KEM.345-346.829

Citation:

P. Kanoute et al., "Mechanical Characterisation of Thermal Barrier Coatings Using a Micro-Indentation Instrumented Technique ", Key Engineering Materials, Vols. 345-346, pp. 829-832, 2007

Online since:

August 2007

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Price:

$35.00

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