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Quantitative Analysis of Iron Rust Using Terahertz Time-Domain Spectroscopy.

Authors :
Li, Ying
Zhang, Zhaohui
Zhang, Tianyao
Zhao, Xiaoyan
Yu, Yang
Li, Xingyue
Wu, Xianhao
Source :
Journal of Nondestructive Evaluation. Mar2023, Vol. 42 Issue 1, p1-9. 9p.
Publication Year :
2023

Abstract

The insight into the composition of iron corrosion products is critical for corrosion studies. A novel and non-destructive method is proposed in this paper to quantitatively analyse the binary iron oxides mixtures based on the terahertz time-domain spectroscopy combined with the effective medium theory. The utility of this method is exemplified by analysing the THz refractive index for a set of samples, including hematite, magnetite, and their mixtures at several volume ratios. The effective medium theory is applied to the raw data of single-component samples to remove the dielectric influence of dilution polymer matrix and trapped air voids. The refractive index of hematite and magnetite is determined to be 4.01 ± 0.04 (1.00%) and 5.6 ± 0.2 (3.6%). The measured refractive index of two iron oxides is further adopted to construct an effective medium model for the binary mixture. The analytical model can predict the volume ratios of two iron oxides within the mixture. Comparison between the theoretical predictions and experimental measurements reveals a relative difference of less than 10.0%. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01959298
Volume :
42
Issue :
1
Database :
Academic Search Index
Journal :
Journal of Nondestructive Evaluation
Publication Type :
Academic Journal
Accession number :
161248371
Full Text :
https://doi.org/10.1007/s10921-022-00915-9