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

Abstract:

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.

• Periodical: Key Engineering Materials (Volumes 345-346)
• Pages: 829-832
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.345-346.829
• Online since: August 2007
• Authors: Pascale Kanoute, Francois Henri Leroy, Bruno Passily
• Keywords: Finite Element Analysis Method, Indentation, Neural Network (NN), Thermal Barrier Coating (TBC)

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