Cover Image

Internal surface pipe roughness classification using high frequency acoustic evaluation

This project was carried out using the method of acoustic emission analysis to distinguish the internal surface roughness of the pipe. Internal roughness of the pipe is referred to the level of corrosion occurring, where normally it is difficult to be monitored online. Acoustic Emission (AE) techn...

Full description

Saved in:
Bibliographic Details
Main Author: Amar Reza, Mohammad Firdaus
Format: Undergraduates Project Papers
Language:English
Published: 2010
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://umpir.ump.edu.my/id/eprint/1763/1/Internal%20surface%20pipe%20roughness%20classification%20using%20high%20frequency%20acoustic%20evaluation.pdf
http://umpir.ump.edu.my/id/eprint/1763/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.ump.umpir.1763
record_format eprints
spelling my.ump.umpir.17632022-11-25T07:20:32Z http://umpir.ump.edu.my/id/eprint/1763/ Internal surface pipe roughness classification using high frequency acoustic evaluation Amar Reza, Mohammad Firdaus TA Engineering (General). Civil engineering (General) This project was carried out using the method of acoustic emission analysis to distinguish the internal surface roughness of the pipe. Internal roughness of the pipe is referred to the level of corrosion occurring, where normally it is difficult to be monitored online. Acoustic Emission (AE) technique can be used as an alternative solution to the corrosion monitoring in pipes, especially for complex pipelines and difficult to achieve by other monitoring devices. The objective of this project is to study the AE signals emitted from internal surface pipe and to classify the internal surface pipe roughness using Bangi Number, AB. This study used the hydraulic bench to provide fluid flow at four different pressures in pipes with different internal surface roughness (rough and smooth). The main source of acoustic emission was from activity in the control valve, coupled with high pressure water flow friction in the inner surface of the pipe. The signal from these sources was detected by using the AED-2000V instrument and assisted by the Acoustic Emission Detector (AED) software. The time domain parameter; root mean square, RMS amplitude was processed and compared at different pressures for each type of internal pipe roughness at ten different locations. Based on the RMS values, Bangi Number was derived and can be used for discriminating level of internal surface pipe roughness. Internal surface pipe can still be considered as smooth if AB value is above than 1.0. Meanwhile if AB value is below than 1.0, the inner surface pipe is in rough condition. As conclusion, the acoustic emission technique offers great opportunity for new approaches in monitoring the pipe and it can be used to classify the internal surface pipe roughness. 2010-12 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/1763/1/Internal%20surface%20pipe%20roughness%20classification%20using%20high%20frequency%20acoustic%20evaluation.pdf Amar Reza, Mohammad Firdaus (2010) Internal surface pipe roughness classification using high frequency acoustic evaluation. Faculty of Mechanical Engineering, Universiti Malaysia Pahang.
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Amar Reza, Mohammad Firdaus
Internal surface pipe roughness classification using high frequency acoustic evaluation
description This project was carried out using the method of acoustic emission analysis to distinguish the internal surface roughness of the pipe. Internal roughness of the pipe is referred to the level of corrosion occurring, where normally it is difficult to be monitored online. Acoustic Emission (AE) technique can be used as an alternative solution to the corrosion monitoring in pipes, especially for complex pipelines and difficult to achieve by other monitoring devices. The objective of this project is to study the AE signals emitted from internal surface pipe and to classify the internal surface pipe roughness using Bangi Number, AB. This study used the hydraulic bench to provide fluid flow at four different pressures in pipes with different internal surface roughness (rough and smooth). The main source of acoustic emission was from activity in the control valve, coupled with high pressure water flow friction in the inner surface of the pipe. The signal from these sources was detected by using the AED-2000V instrument and assisted by the Acoustic Emission Detector (AED) software. The time domain parameter; root mean square, RMS amplitude was processed and compared at different pressures for each type of internal pipe roughness at ten different locations. Based on the RMS values, Bangi Number was derived and can be used for discriminating level of internal surface pipe roughness. Internal surface pipe can still be considered as smooth if AB value is above than 1.0. Meanwhile if AB value is below than 1.0, the inner surface pipe is in rough condition. As conclusion, the acoustic emission technique offers great opportunity for new approaches in monitoring the pipe and it can be used to classify the internal surface pipe roughness.
format Undergraduates Project Papers
author Amar Reza, Mohammad Firdaus
author_facet Amar Reza, Mohammad Firdaus
author_sort Amar Reza, Mohammad Firdaus
title Internal surface pipe roughness classification using high frequency acoustic evaluation
title_short Internal surface pipe roughness classification using high frequency acoustic evaluation
title_full Internal surface pipe roughness classification using high frequency acoustic evaluation
title_fullStr Internal surface pipe roughness classification using high frequency acoustic evaluation
title_full_unstemmed Internal surface pipe roughness classification using high frequency acoustic evaluation
title_sort internal surface pipe roughness classification using high frequency acoustic evaluation
publishDate 2010
url http://umpir.ump.edu.my/id/eprint/1763/1/Internal%20surface%20pipe%20roughness%20classification%20using%20high%20frequency%20acoustic%20evaluation.pdf
http://umpir.ump.edu.my/id/eprint/1763/
_version_ 1751536345309773824
score 13.211869

Similar Items