Time domain analysis of acoustic emission signal for internal surface roughness classification

Mohd Hafizi Bin Zohari, Che Ku Eddy Nizwan Che Ku Husin, Mohamad Hanif Md Saad

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper describes the acoustic emission approach for internal surface roughness classification. Rough internal surface can be related to corrosion that usually occurred inside pipe. Two flow rates with different Reynolds number value are introduced in a pipe (smooth and rough internal surface) obstructed using normally available components (e.g.: valve). The time domain parameter of Acoustic Emission signals; peak amplitude and Root Mean Square (R.M.S) amplitude, at suitable location from the obstruction are obtained. Crest factor, C, which is defined as peak to RMS amplitude ratio was calculated in smooth pipe measurement compared to the crest factor in rough surface pipe measurement. It was observed that, at high flow rate measurement, crest factor value obtained can be used to successfully discriminate between rough and smooth internal surface roughness. For smooth internal surface pipe, the Crest Factor value is above than 4.0 at flow with Reynolds Number value above 40,000. Meanwhile for the C value below than 4.0, it can be classified as rough internal surface pipe.

Original languageEnglish
Title of host publicationAIP Conference Proceedings
Pages236-241
Number of pages6
Volume1225
DOIs
Publication statusPublished - 2010
Event10th Asian International Conference on Fluid Machinery, AICFM - Kuala Lumpur
Duration: 21 Oct 201023 Oct 2010

Other

Other10th Asian International Conference on Fluid Machinery, AICFM
CityKuala Lumpur
Period21/10/1023/10/10

Fingerprint

time domain analysis
acoustic emission
surface roughness
Reynolds number
flow velocity
corrosion

Keywords

  • Acoustic Emission technique
  • condition monitoring
  • corrosion
  • MATLAB
  • turbulence flow

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Cite this

Bin Zohari, M. H., Che Ku Husin, C. K. E. N., & Md Saad, M. H. (2010). Time domain analysis of acoustic emission signal for internal surface roughness classification. In AIP Conference Proceedings (Vol. 1225, pp. 236-241) https://doi.org/10.1063/1.3464862

Time domain analysis of acoustic emission signal for internal surface roughness classification. / Bin Zohari, Mohd Hafizi; Che Ku Husin, Che Ku Eddy Nizwan; Md Saad, Mohamad Hanif.

AIP Conference Proceedings. Vol. 1225 2010. p. 236-241.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Bin Zohari, MH, Che Ku Husin, CKEN & Md Saad, MH 2010, Time domain analysis of acoustic emission signal for internal surface roughness classification. in AIP Conference Proceedings. vol. 1225, pp. 236-241, 10th Asian International Conference on Fluid Machinery, AICFM, Kuala Lumpur, 21/10/10. https://doi.org/10.1063/1.3464862
Bin Zohari MH, Che Ku Husin CKEN, Md Saad MH. Time domain analysis of acoustic emission signal for internal surface roughness classification. In AIP Conference Proceedings. Vol. 1225. 2010. p. 236-241 https://doi.org/10.1063/1.3464862
Bin Zohari, Mohd Hafizi ; Che Ku Husin, Che Ku Eddy Nizwan ; Md Saad, Mohamad Hanif. / Time domain analysis of acoustic emission signal for internal surface roughness classification. AIP Conference Proceedings. Vol. 1225 2010. pp. 236-241
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