Bubble size measurement algorithm for optical fiber probe measurement.

The aim of this project is to determine the optimal algorithm for processing the optical probe signals using Visual Basic. The optimised algorithm uses level threshold to differentiate noise signal from bubble signal. Bubble rise and end times are determined using both level and slope threshold. Sub...

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Main Author: Lim, Tat Kuan.
Other Authors: Lau Wai Man
Format: Final Year Project
Language:English
Published: 2009
Subjects:
Online Access:http://hdl.handle.net/10356/16488
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-164882023-03-03T15:40:09Z Bubble size measurement algorithm for optical fiber probe measurement. Lim, Tat Kuan. Lau Wai Man School of Chemical and Biomedical Engineering DRNTU::Engineering::Bioengineering The aim of this project is to determine the optimal algorithm for processing the optical probe signals using Visual Basic. The optimised algorithm uses level threshold to differentiate noise signal from bubble signal. Bubble rise and end times are determined using both level and slope threshold. Subsequently, cross-correlation of the top and bottom probe signals is done based on setting a tolerance level of ± 30% for the difference in the residence times of the bubbles at the top and bottom probe and their chord lengths and bubble velocities are calculated by the algorithm. Manual elimination of the outliers is recommended by identifying them based on the graph of bubble velocities versus chord lengths. The developed algorithm was validated at gas flow rates of 0.588 cm/s and 1.88 cm/s by comparing bubble sizes obtained using a high speed camera to determine the accuracy and reliability of the algorithm. As the algorithm gives chord length distribution, numerical transform from chord length to bubble size distribution as proposed by N.N Clark et al. was used prior to any comparison made. Comparisons were made based on horizontal bubble diameter distribution and the corresponding mean horizontal bubble diameter and most probable horizontal diameter. The optimised algorithm gives a similar probability distribution as that obtained by the high speed camera and a percentage discrepancy of ± 23% and ± 25% for the mean horizontal bubble diameter and most probable bubble diameter respectively. Bachelor of Engineering (Chemical and Biomolecular Engineering) 2009-05-26T08:03:42Z 2009-05-26T08:03:42Z 2009 2009 Final Year Project (FYP) http://hdl.handle.net/10356/16488 en Nanyang Technological University 80 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Bioengineering
spellingShingle DRNTU::Engineering::Bioengineering
Lim, Tat Kuan.
Bubble size measurement algorithm for optical fiber probe measurement.
description The aim of this project is to determine the optimal algorithm for processing the optical probe signals using Visual Basic. The optimised algorithm uses level threshold to differentiate noise signal from bubble signal. Bubble rise and end times are determined using both level and slope threshold. Subsequently, cross-correlation of the top and bottom probe signals is done based on setting a tolerance level of ± 30% for the difference in the residence times of the bubbles at the top and bottom probe and their chord lengths and bubble velocities are calculated by the algorithm. Manual elimination of the outliers is recommended by identifying them based on the graph of bubble velocities versus chord lengths. The developed algorithm was validated at gas flow rates of 0.588 cm/s and 1.88 cm/s by comparing bubble sizes obtained using a high speed camera to determine the accuracy and reliability of the algorithm. As the algorithm gives chord length distribution, numerical transform from chord length to bubble size distribution as proposed by N.N Clark et al. was used prior to any comparison made. Comparisons were made based on horizontal bubble diameter distribution and the corresponding mean horizontal bubble diameter and most probable horizontal diameter. The optimised algorithm gives a similar probability distribution as that obtained by the high speed camera and a percentage discrepancy of ± 23% and ± 25% for the mean horizontal bubble diameter and most probable bubble diameter respectively.
author2 Lau Wai Man
author_facet Lau Wai Man
Lim, Tat Kuan.
format Final Year Project
author Lim, Tat Kuan.
author_sort Lim, Tat Kuan.
title Bubble size measurement algorithm for optical fiber probe measurement.
title_short Bubble size measurement algorithm for optical fiber probe measurement.
title_full Bubble size measurement algorithm for optical fiber probe measurement.
title_fullStr Bubble size measurement algorithm for optical fiber probe measurement.
title_full_unstemmed Bubble size measurement algorithm for optical fiber probe measurement.
title_sort bubble size measurement algorithm for optical fiber probe measurement.
publishDate 2009
url http://hdl.handle.net/10356/16488
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