Defect detection in pipeline using acoustic emission

Monitoring defects in a pipeline are very important in particularly for buried pipeline. The ability to identify location, type and size of the defects are always necessary to save time and cost. Thus, this research project embarks on identifying defect location and estimating the size of the defect...

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Main Author:	Zarzoor, Ahmed Kadhim
Format:	Thesis
Language:	English
Published:	2015
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://eprints.utm.my/id/eprint/48685/1/AhmedKadhimZarzoorMFKM2015.pdf
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id	my-utm-ep.48685
record_format	uketd_dc
spelling	my-utm-ep.486852020-06-17T02:45:50Z Defect detection in pipeline using acoustic emission 2015 Zarzoor, Ahmed Kadhim TJ Mechanical engineering and machinery Monitoring defects in a pipeline are very important in particularly for buried pipeline. The ability to identify location, type and size of the defects are always necessary to save time and cost. Thus, this research project embarks on identifying defect location and estimating the size of the defect by using Acoustic Emission (AE) technology. Data were acquired from a two inch diameter pipe with 1mm thickness using low cost piezoelectric sensors. Location of the defect was estimated based on the difference on the time arrival coming from the two sensors. Results show that location of the defect can be estimated within certain degree of accuracy. In addition, different sizes of the defect have also been studied using artificially induced defect as well as the actual defect. Defects have been introduced both in the axial and radial direction on the test pipe. AE data from the pencil break has been collected for each defect size and processed using few AE parameters such as R.M.S., energy, amplitude and time-frequency domain. All of these data were then normalized to the reference value and the correlation between defect sizes and normalized AE parameters were developed. The results show that there are good correlations between normalized AE parameter and defect sizes particularly when the defect size was increased in axial direction. In short, it is shown that AE technology is capable in locating defect in pipeline as well as giving estimation on the size of the defect. 2015 Thesis http://eprints.utm.my/id/eprint/48685/ http://eprints.utm.my/id/eprint/48685/1/AhmedKadhimZarzoorMFKM2015.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:79554?queryType=vitalDismax&query=Defect+detection+in+pipeline+using+acoustic+emission&public=true masters Universiti Teknologi Malaysia, Faculty of Mechanical Engineering Faculty of Mechanical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Zarzoor, Ahmed Kadhim Defect detection in pipeline using acoustic emission
description	Monitoring defects in a pipeline are very important in particularly for buried pipeline. The ability to identify location, type and size of the defects are always necessary to save time and cost. Thus, this research project embarks on identifying defect location and estimating the size of the defect by using Acoustic Emission (AE) technology. Data were acquired from a two inch diameter pipe with 1mm thickness using low cost piezoelectric sensors. Location of the defect was estimated based on the difference on the time arrival coming from the two sensors. Results show that location of the defect can be estimated within certain degree of accuracy. In addition, different sizes of the defect have also been studied using artificially induced defect as well as the actual defect. Defects have been introduced both in the axial and radial direction on the test pipe. AE data from the pencil break has been collected for each defect size and processed using few AE parameters such as R.M.S., energy, amplitude and time-frequency domain. All of these data were then normalized to the reference value and the correlation between defect sizes and normalized AE parameters were developed. The results show that there are good correlations between normalized AE parameter and defect sizes particularly when the defect size was increased in axial direction. In short, it is shown that AE technology is capable in locating defect in pipeline as well as giving estimation on the size of the defect.
format	Thesis
qualification_level	Master's degree
author	Zarzoor, Ahmed Kadhim
author_facet	Zarzoor, Ahmed Kadhim
author_sort	Zarzoor, Ahmed Kadhim
title	Defect detection in pipeline using acoustic emission
title_short	Defect detection in pipeline using acoustic emission
title_full	Defect detection in pipeline using acoustic emission
title_fullStr	Defect detection in pipeline using acoustic emission
title_full_unstemmed	Defect detection in pipeline using acoustic emission
title_sort	defect detection in pipeline using acoustic emission
granting_institution	Universiti Teknologi Malaysia, Faculty of Mechanical Engineering
granting_department	Faculty of Mechanical Engineering
publishDate	2015
url	http://eprints.utm.my/id/eprint/48685/1/AhmedKadhimZarzoorMFKM2015.pdf
_version_	1747817450774200320

Defect detection in pipeline using acoustic emission

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