Dr

Dr

Citation Author(s):
Christopher
Holmes
University of Southampton
Submitted by:
Christopher Holmes
Last updated:
Wed, 12/12/2018 - 12:13
DOI:
10.21227/5hgc-3n40
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Abstract: 

This work quantifies water contamination in jet fuel (Jet A-1), using silica-based Bragg gratings. The optical sensor geometry exposes the evanescent optical field of a guided mode to enable refractometery. Quantitative analysis is made in addition to the observation of spectral features consistent with emulsification of water droplets and Stokes’ settling. Measurements are observed for cooling and heating cycles between ranges of 22oC and -60oC. The maximum spectral sensitivity for water contamination was 2.4 pm/ppm-v with a resolution of < 5 ppm-v.

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Excel file contains processed data for 'Monitoring water contamination in jet fuel using silica-based Bragg gratings'.

Tab titles refer to figures.

Figure 2 - column data is wavelength (nm), Reflected Power (dB) for TE and TM respectivelyFigure 3 - contains 8 data sets listed in paper. Each column pair correspond to temperature (oC) and power respectively. Figure 4 - Bragg grating shifts for Bragg grating 1 and 3. Two data sets for wrm up and cool down respectivelyFigure 5 - Temperature and thermo-optic response is given in the first two data sets. The third data set is the temperature profile evolving over time. The fourth and fifth data set represents the raw data from which thermo-optic response is infered.Figure 6 - Six data sets following the normalised reflected power over temperature evolution for Grating 3, 1 and 2 respectivelyFigure 7 - Variaition of bandwidth with tempeature. Note second column is 3dB bandwidth in nanometers.Figure 8 - Bragg shift in picometers as a function of water contamination, the fourth data set is obtained bycompensating sets 1 and 2 with 3.Figure 9 - As Figure 8, but showing normalised amplitude in dB.

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[1] Christopher Holmes, "Dr", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/5hgc-3n40. Accessed: Sep. 20, 2019.
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doi = {10.21227/5hgc-3n40},
url = {http://dx.doi.org/10.21227/5hgc-3n40},
author = {Christopher Holmes },
publisher = {IEEE Dataport},
title = {Dr},
year = {2018} }
TY - DATA
T1 - Dr
AU - Christopher Holmes
PY - 2018
PB - IEEE Dataport
UR - 10.21227/5hgc-3n40
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Christopher Holmes. (2018). Dr. IEEE Dataport. http://dx.doi.org/10.21227/5hgc-3n40
Christopher Holmes, 2018. Dr. Available at: http://dx.doi.org/10.21227/5hgc-3n40.
Christopher Holmes. (2018). "Dr." Web.
1. Christopher Holmes. Dr [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/5hgc-3n40
Christopher Holmes. "Dr." doi: 10.21227/5hgc-3n40