Detection and Analysis of Defect in Steel Tube Using Vibration Impact Acoustic Emission (VIAE) Method

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Currently the tube inspection technologies are normally invasive and time consuming, and therefore, an effective and non-invasive tube inspection method is required. This paper presents the research works on the development of non-invasive and non-destructive defect detection system and analysis for the ASTM A179 seamless steel tubes. Vibration excitation using impact hammer method is used to generate transient stress waves in steel tubes. Specifically, three steel tubes were used including a good steel tube and two steel tubes with through-hole artificial defect at different locations. An acoustic emission technique is utilised to detect and capture the stress waves propagation in the steel tubes. The variations of the stress waves propagated in the different condition of the steel tubes were successfully characterized and differentiated using three conventional statistical features namely root mean square (r.m.s), crest factor and kurtosis. The acquired experimental results show that the newly proposed Vibration Impact Acoustic Emission (VIAE) method is capable of detecting the presence of defect in the steel tubes
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Defect Detection; Non-Invasive Inspection; Impact Excitation; Stress Wave

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A. S. Birring, Selection of NDT techniques for inspection of heat exchanger tubing, J. Nondestruct. Test. Ultrason., vol. 6, no. 8, pp. 1–12, 2001.

B. Yang and X. Li, Pulsed remote field technique used for nondestructive inspection of ferromagnetic tube, NDT E Int., vol. 53, pp. 47–52, 2013.

W. Dallas, O. Polupan, and S. Ostapenko, Resonance ultrasonic vibrations for crack detection in photovoltaic silicon wafers, Meas. Sci. Technol., vol. 18, no. 3, pp. 852–858, 2007.

J. J. da Silva, A. M. N. Lima, F. H. Neff, J. S. da Rocha Neto, Fouling Detection based on Vibration Analysis with the Hammer Impact Test, Proc. of Instr. And Measurement Tech. Conf., Poland, 2007, pp. 1–3.

Y. J. J. Yan, L. Cheng, Z. Y. Y. Wu, and L. H. H. Yam, Development in vibration-based structural damage detection technique, Mech. Syst. Signal Process., vol. 21, no. 5, pp. 2198–2211, 2007.

Jan Trnka, Radek Kolman, Pavla Dvořáková, Eduard Veselý, A Study of Stress Wave Propagation in Thin Plate Loaded by an Oblique Impact, (2009) International Review of Mechanical Engineering (IREME), 3. (3), pp. 322-331.

A. M. Al-Ghamd and D. Mba, A comparative experimental study on the use of acoustic emission and vibration analysis for bearing defect identification and estimation of defect size, Mech. Syst. Signal Process., vol. 20, no. 7, pp. 1537–1571, 2006.

C. K. Tan, P. Irving, and D. Mba, A comparative experimental study on the diagnostic and prognostic capabilities of acoustics emission, vibration and spectrometric oil analysis for spur gears, Mech. Syst. Signal Process., vol. 21, no. 1, pp. 208–233, 2007.

Mohd, S.M.A., Nuawi, M.Z., Ariffin, A., Mohd, T.M.F., Abdullah, S., Study of correlation between strain and structural-borne ultrasonic signals on automobile engine, (2012) International Review of Mechanical Engineering (IREME), 6 (3), pp. 607-610.

B. Eftekharnejad, M. R. Carrasco, B. Charnley, and D. Mba, The application of spectral kurtosis on Acoustic Emission and vibrations from a defective bearing, Mech. Syst. Signal Process., vol. 25, no. 1, pp. 266–284, 2011.

J. Lim, T. Kaewkongka, and L. Jirapong, Leakage Evaluation of heating coil tube in thermal oil boiler by using Acoustic Emission and data classification technique, Proc. of Instrum. Meas. Technol. Conf., Canada, 2008, pp. 1659–1662.

E. Çam, S. Orhan, and M. Lüy, An analysis of cracked beam structure using impact echo method, NDT E Int., vol. 38, no. 5, pp. 368–373, 2005.

A. Salazar, L. Vergara, J. Igual, and J. Gosalbez, Blind source separation for classification and detection of flaws in impact-echo testing, Mech. Syst. Signal Process., vol. 19, no. 6, pp. 1312–1325, 2005.

Y. He, X. Zhang, and M. I. Friswell, Defect Diagnosis for Rolling Element Bearings Using Acoustic Emission, J. Vib. Acoust., vol. 131, no. 6, p. 61012-1-61012-10, 2009.


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