Characterization of SiC-coated CMC by means of Pulse Thermography and Deep Learning approaches

In this article, we aim to characterize the coating state of ISiComp samples. ISiCOmp is a CMC material used as Thermal Protection System (TPS). We propose a thermographic pulsed test combined with a physics-based autoencoder and a clustering algorithm to develop a fully automated characterization method.

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Publication Details

Published
2025-06-18
DOI
https://doi.org/10.1109/metroaerospace64938.2025.11114473
Primary Topic
Economic and Technological Innovation
Type
article
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article

Characterization of SiC-coated CMC by means of Pulse Thermography and Deep Learning approaches

Economic and Technological Innovation
article

Characterization of SiC-coated CMC by means of Pulse Thermography and Deep Learning approaches

article en

Abstract

In this article, we aim to characterize the coating state of ISiComp samples. ISiCOmp is a CMC material used as Thermal Protection System (TPS). We propose a thermographic pulsed test combined with a physics-based autoencoder and a clustering algorithm to develop a fully automated characterization method.

Italian Aerospace Research Centre (IT), Polytechnic University of Bari (IT)
Openalex Percentile: Top 34%
Economic and Technological Innovation
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Characterization of SiC-coated CMC by means of Pulse Thermography and Deep Learning approaches · (2025) | TGRS Research Map | TGRS