id ump-796
recordtype eprints
spelling ump-7962017-04-07T08:14:50Z http://umpir.ump.edu.my/id/eprint/796/ Internal surface pipe roughness classification : an acoustic emissions approach Arif Johari, Mat Ali @ Salim TA Engineering (General). Civil engineering (General) This project was carried out as a study of internal surface pipe roughness classification using single channel Acoustic Emissions (AE) technique. The objectives of this project are to detect Acoustic Emission (AE) signal from internal surface pipe and to classify smooth or rough of internal surface pipe using Acoustic Emission (AE). A test rig consists of the pipe with smooth internal surface and the pipe with rough internal surface using circumferential of a galvanized steel pipe used to run this experiment. Flow of water inside the pipe was controlled by a valve. The signal was captured using AE sensor with the help of Acoustic Emission Detector 2.1.3 software. For all pipe conditions, the values of hits, counts and RMS (average, maximum and minimum) were recorded and analyzed. All the values recorded were compared between the internal smooth pipe and internal rough pipe (90° and 360° opening valve). The results were gained from 10 marked points each for both pipe conditions. The result show that the different value of AE parameter between high flow rate (360° opening valve) and low flow rate (90° opening valve) for smooth pipe is greater than rough pipe. The total of RMS value was plotted for each flow rate and surface pipe roughness at each point. Based on Bangi number (AB) the value for rough pipe is 1.75 and below, meanwhile for smooth pipe is 1.75 and above. This value can be used for the classification of internal surface pipe roughness. 2009-11 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/796/1/Internal%20surface%20pipe%20roughness%20classification%20-%20an%20acoustic%20emissions%20approach%20-%20Table%20of%20content.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/796/7/Internal%20surface%20pipe%20roughness%20classification%20-%20an%20acoustic%20emissions%20approach%20-%20Abstract.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/796/8/Internal%20surface%20pipe%20roughness%20classification%20-%20an%20acoustic%20emissions%20approach%20%20-%20Chapter%201.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/796/9/Internal%20surface%20pipe%20roughness%20classification%20-%20an%20acoustic%20emissions%20approach%20%20-%20References.pdf Arif Johari, Mat Ali @ Salim (2009) Internal surface pipe roughness classification : an acoustic emissions approach. Faculty of Mechanical Engineering, Universiti Malaysia Pahang . http://iportal.ump.edu.my/lib/item?id=chamo:45832&theme=UMP2
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
English
English
English
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Arif Johari, Mat Ali @ Salim
Internal surface pipe roughness classification : an acoustic emissions approach
description This project was carried out as a study of internal surface pipe roughness classification using single channel Acoustic Emissions (AE) technique. The objectives of this project are to detect Acoustic Emission (AE) signal from internal surface pipe and to classify smooth or rough of internal surface pipe using Acoustic Emission (AE). A test rig consists of the pipe with smooth internal surface and the pipe with rough internal surface using circumferential of a galvanized steel pipe used to run this experiment. Flow of water inside the pipe was controlled by a valve. The signal was captured using AE sensor with the help of Acoustic Emission Detector 2.1.3 software. For all pipe conditions, the values of hits, counts and RMS (average, maximum and minimum) were recorded and analyzed. All the values recorded were compared between the internal smooth pipe and internal rough pipe (90° and 360° opening valve). The results were gained from 10 marked points each for both pipe conditions. The result show that the different value of AE parameter between high flow rate (360° opening valve) and low flow rate (90° opening valve) for smooth pipe is greater than rough pipe. The total of RMS value was plotted for each flow rate and surface pipe roughness at each point. Based on Bangi number (AB) the value for rough pipe is 1.75 and below, meanwhile for smooth pipe is 1.75 and above. This value can be used for the classification of internal surface pipe roughness.
format Undergraduates Project Papers
author Arif Johari, Mat Ali @ Salim
author_facet Arif Johari, Mat Ali @ Salim
author_sort Arif Johari, Mat Ali @ Salim
title Internal surface pipe roughness classification : an acoustic emissions approach
title_short Internal surface pipe roughness classification : an acoustic emissions approach
title_full Internal surface pipe roughness classification : an acoustic emissions approach
title_fullStr Internal surface pipe roughness classification : an acoustic emissions approach
title_full_unstemmed Internal surface pipe roughness classification : an acoustic emissions approach
title_sort internal surface pipe roughness classification : an acoustic emissions approach
publishDate 2009
url http://umpir.ump.edu.my/id/eprint/796/
http://umpir.ump.edu.my/id/eprint/796/
http://umpir.ump.edu.my/id/eprint/796/1/Internal%20surface%20pipe%20roughness%20classification%20-%20an%20acoustic%20emissions%20approach%20-%20Table%20of%20content.pdf
http://umpir.ump.edu.my/id/eprint/796/7/Internal%20surface%20pipe%20roughness%20classification%20-%20an%20acoustic%20emissions%20approach%20-%20Abstract.pdf
http://umpir.ump.edu.my/id/eprint/796/8/Internal%20surface%20pipe%20roughness%20classification%20-%20an%20acoustic%20emissions%20approach%20%20-%20Chapter%201.pdf
http://umpir.ump.edu.my/id/eprint/796/9/Internal%20surface%20pipe%20roughness%20classification%20-%20an%20acoustic%20emissions%20approach%20%20-%20References.pdf
first_indexed 2023-09-18T21:53:21Z
last_indexed 2023-09-18T21:53:21Z
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