Monitoring bubble size distribution using pressure fluctuations.

Bubble size and distribution are key monitoring parameters for the heat and mass transfer performance in gas-liquid bubble columns and gas-liquid-sold fluidized bed processes. Many of the techniques currently in use are expensive, time consuming and intrude into the systems. Physical intrusion disru...

Full description

Saved in:
Bibliographic Details
Main Author: Foo, Jing Quan.
Other Authors: Lau Wai Man
Format: Final Year Project
Language:English
Published: 2010
Subjects:
Online Access:http://hdl.handle.net/10356/39558
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-39558
record_format dspace
spelling sg-ntu-dr.10356-395582023-03-03T15:41:14Z Monitoring bubble size distribution using pressure fluctuations. Foo, Jing Quan. Lau Wai Man School of Chemical and Biomedical Engineering DRNTU::Engineering::Chemical engineering::Chemical plants Bubble size and distribution are key monitoring parameters for the heat and mass transfer performance in gas-liquid bubble columns and gas-liquid-sold fluidized bed processes. Many of the techniques currently in use are expensive, time consuming and intrude into the systems. Physical intrusion disrupts the original flow of the bubbles and affects the results obtained. Predicting bubble size using pressure fluctuations caused by bubbles is becoming a popular method. Power spectral analysis and chaotic theory analysis are techniques developed in recent years. These “batch” techniques are unable to provide continuous monitoring of the bubble sizes due to post data processing required. Nonetheless, studies involving dynamic gas disengagement have shown that it is possible to read bubble size distributions from pressure fluctuations. Pressure fluctuation is a promising method due to its ease and low cost of implementation, non-intrusive nature and potential online-monitoring capability. This study investigates the feasibility of using the direct pressure fluctuation signal to predict bubble size and its distribution. The proposed method was tested experimentally and verified using the photographic method. The basis of comparison used was the bubble cap diameter and volume diameter, the volume diameter showed accuracy of up to 89%. Bachelor of Engineering (Chemical and Biomolecular Engineering) 2010-05-31T06:04:30Z 2010-05-31T06:04:30Z 2010 2010 Final Year Project (FYP) http://hdl.handle.net/10356/39558 en Nanyang Technological University 53 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::Chemical engineering::Chemical plants
spellingShingle DRNTU::Engineering::Chemical engineering::Chemical plants
Foo, Jing Quan.
Monitoring bubble size distribution using pressure fluctuations.
description Bubble size and distribution are key monitoring parameters for the heat and mass transfer performance in gas-liquid bubble columns and gas-liquid-sold fluidized bed processes. Many of the techniques currently in use are expensive, time consuming and intrude into the systems. Physical intrusion disrupts the original flow of the bubbles and affects the results obtained. Predicting bubble size using pressure fluctuations caused by bubbles is becoming a popular method. Power spectral analysis and chaotic theory analysis are techniques developed in recent years. These “batch” techniques are unable to provide continuous monitoring of the bubble sizes due to post data processing required. Nonetheless, studies involving dynamic gas disengagement have shown that it is possible to read bubble size distributions from pressure fluctuations. Pressure fluctuation is a promising method due to its ease and low cost of implementation, non-intrusive nature and potential online-monitoring capability. This study investigates the feasibility of using the direct pressure fluctuation signal to predict bubble size and its distribution. The proposed method was tested experimentally and verified using the photographic method. The basis of comparison used was the bubble cap diameter and volume diameter, the volume diameter showed accuracy of up to 89%.
author2 Lau Wai Man
author_facet Lau Wai Man
Foo, Jing Quan.
format Final Year Project
author Foo, Jing Quan.
author_sort Foo, Jing Quan.
title Monitoring bubble size distribution using pressure fluctuations.
title_short Monitoring bubble size distribution using pressure fluctuations.
title_full Monitoring bubble size distribution using pressure fluctuations.
title_fullStr Monitoring bubble size distribution using pressure fluctuations.
title_full_unstemmed Monitoring bubble size distribution using pressure fluctuations.
title_sort monitoring bubble size distribution using pressure fluctuations.
publishDate 2010
url http://hdl.handle.net/10356/39558
_version_ 1759858248649801728