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Temperature based segmentation for spectral data of laser-induced plasmas for quantitative compositional analysis of brass alloys submerged in water

Temperature based segmentation for spectral data of laser-induced plasmas for quantitative compositional analysis of brass alloys submerged in water
Temperature based segmentation for spectral data of laser-induced plasmas for quantitative compositional analysis of brass alloys submerged in water
This study describes a method to quantify the composition of brass alloys submerged in water using laser-induced plasmas. Principal component regression (PCR) analysis and partial least squares (PLS) regression analysis are applied to spectral measurements of plasmas generated using a long-ns duration pulse. The non-linear effects of excitation temperature fluctuations on the signals are treated as systematic errors in the analysis. The effect of these errors on the analytical performance is evaluated by applying PCR and PLS with a temperature segmented database. The results of the analysis are compared to conventional methods that do not consider the excitation temperature and it is demonstrated that the proposed database segmentation improves accuracy, with root-mean square errors of prediction (RMSEP) of 2.7% and 2.8% for Cu and Zn in the PCR model and 2.9% and 1.8% for Cu and Zn in the PLS model, respectively. The results indicate that systematic effects contribute to fluctuation of underwater plasmas, where appropriate database segmentation can improve the performance of the PCR and PLS methods.
0584-8547
87-93
Takahashi, Tomoko
3f3f98c5-993c-4e11-b5ec-0fa4dbdbced9
Thornton, Blair
8293beb5-c083-47e3-b5f0-d9c3cee14be9
Sato, Takumi
839ad99c-91f6-4f88-9d5d-d39022eb990b
Ohki, Toshihiko
e8962f22-9e79-46b8-8b97-8a99c3dc47d4
Ohki, Koichi
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Sakka, Tetsuo
fd41ffee-1abd-46cb-99dc-94bb96aecc38
Takahashi, Tomoko
3f3f98c5-993c-4e11-b5ec-0fa4dbdbced9
Thornton, Blair
8293beb5-c083-47e3-b5f0-d9c3cee14be9
Sato, Takumi
839ad99c-91f6-4f88-9d5d-d39022eb990b
Ohki, Toshihiko
e8962f22-9e79-46b8-8b97-8a99c3dc47d4
Ohki, Koichi
0591f5f7-dcf3-45b0-a6ee-9b026b7b82a6
Sakka, Tetsuo
fd41ffee-1abd-46cb-99dc-94bb96aecc38

Takahashi, Tomoko, Thornton, Blair, Sato, Takumi, Ohki, Toshihiko, Ohki, Koichi and Sakka, Tetsuo (2016) Temperature based segmentation for spectral data of laser-induced plasmas for quantitative compositional analysis of brass alloys submerged in water. Spectrochimica Acta Part B Atomic Spectroscopy, 124, 87-93. (doi:10.1016/j.sab.2016.08.025).

Record type: Article

Abstract

This study describes a method to quantify the composition of brass alloys submerged in water using laser-induced plasmas. Principal component regression (PCR) analysis and partial least squares (PLS) regression analysis are applied to spectral measurements of plasmas generated using a long-ns duration pulse. The non-linear effects of excitation temperature fluctuations on the signals are treated as systematic errors in the analysis. The effect of these errors on the analytical performance is evaluated by applying PCR and PLS with a temperature segmented database. The results of the analysis are compared to conventional methods that do not consider the excitation temperature and it is demonstrated that the proposed database segmentation improves accuracy, with root-mean square errors of prediction (RMSEP) of 2.7% and 2.8% for Cu and Zn in the PCR model and 2.9% and 1.8% for Cu and Zn in the PLS model, respectively. The results indicate that systematic effects contribute to fluctuation of underwater plasmas, where appropriate database segmentation can improve the performance of the PCR and PLS methods.

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More information

Accepted/In Press date: 24 August 2016
e-pub ahead of print date: 29 August 2016
Published date: 1 October 2016
Organisations: Fluid Structure Interactions Group

Identifiers

Local EPrints ID: 400025
URI: http://eprints.soton.ac.uk/id/eprint/400025
ISSN: 0584-8547
PURE UUID: 525468ab-6cd0-4317-b2ab-a2cbfe00289a

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Date deposited: 07 Sep 2016 08:48
Last modified: 07 Jan 2022 21:54

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Contributors

Author: Tomoko Takahashi
Author: Blair Thornton
Author: Takumi Sato
Author: Toshihiko Ohki
Author: Koichi Ohki
Author: Tetsuo Sakka

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