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Diffuse Reflection Infrared Fourier Transform Spectroscopy and Partial Least Squares Regression Analysis for Temperature Prediction of Irreversible Thermochromic Paints

Kitagawa, Akiharu; Welsh, Calum; Mackilligin, Harry; Licence, Peter

Diffuse Reflection Infrared Fourier Transform Spectroscopy and Partial Least Squares Regression Analysis for Temperature Prediction of Irreversible Thermochromic Paints Thumbnail


Authors

Akiharu Kitagawa

Calum Welsh

Harry Mackilligin



Abstract

Temperature measurement of internal components of a jet engine is a crucial control parameter to ensure its component life and efficiency. Particularly for thermal analysis of internal components of jet engines, irreversible thermochromic paints (TPs) have been developed at Rolls-Royce plc to evaluate the surface temperature of engine components where it is otherwise impossible. Thermochromic paints change color with respect to an increased temperature whereby the resulting change in the TP color corresponds to the maximum temperature experienced by the surface of engine components during testing. To improve the reliability and reproducibility of the temperature measurement by TPs, this work explored the potential use of diffuse reflection Fourier transform infrared spectroscopy (DRIFTS) combined with partial least squares regression (PLSR) analysis. The outcome of the prediction of the raw and pre-processed datasets was compared and discussed. The major contributors to the prediction models were the change in the property of the surface M–OH bonds, the structural change of the inorganic pigments and fillers, and their solid-state reaction at a higher temperature. The result showed improved reliability of the prediction model after the combined pre-process treatments with reported RMSEC of 4.5 °C and RMSECV of 13.0 °C using three latent variables.

Citation

Kitagawa, A., Welsh, C., Mackilligin, H., & Licence, P. (2022). Diffuse Reflection Infrared Fourier Transform Spectroscopy and Partial Least Squares Regression Analysis for Temperature Prediction of Irreversible Thermochromic Paints. Applied Spectroscopy, 76(5), 531-540. https://doi.org/10.1177/00037028211065759

Journal Article Type Article
Acceptance Date Dec 2, 2021
Online Publication Date Feb 21, 2022
Publication Date 2022-05
Deposit Date Mar 2, 2022
Publicly Available Date Mar 2, 2022
Journal Applied Spectroscopy
Print ISSN 0003-7028
Electronic ISSN 1943-3530
Publisher SAGE Publications
Peer Reviewed Peer Reviewed
Volume 76
Issue 5
Pages 531-540
DOI https://doi.org/10.1177/00037028211065759
Keywords Spectroscopy; Instrumentation
Public URL https://nottingham-repository.worktribe.com/output/7511566
Publisher URL https://journals.sagepub.com/doi/10.1177/00037028211065759

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