Correlating Strain and Acoustic Emission Signals of Metallic Component Using Global Signal Statistical Approach

Article Preview

Abstract:

This study clarifies the fatigue properties using global signal statistical approach during the crack initiation stage for metallic component. Strain loading and acoustic emission (AE) signatures are captured simultaneously in the form of signal waves recorded by strain gauge and AE transducer. An initial study was carried out in the laboratory on medium carbon AISI 1045 steel specimens at constant amplitude cyclic loading condition, which lead to the fatigue failure characteristics. This study was carried out to investigate the relationship between strain and AE signals in order to make sure that AE technique also can be used as a detecting and monitoring crack initiation in metallic specimens. To achieve the goal, three different loads were applied on three specimens to capture the differences of the signals. The specific data acquisition systems were used to collect strain and AE signatures. For the purpose of analysis, the method of root mean square (r.m.s) and the kurtosis were used. The r.m.s value was used to quantify the overall vibrational energy content whereas the kurtosis was then used because of its sensitivity to high amplitude events. Based on these statistical approaches, the correlation patterns between both signals are expected to give a meaningful baseline to predict and monitor crack initiation of a metallic specimen.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1064-1069

Citation:

Online since:

January 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] S. Abdullah, A.K. Ariffin, C.K.E. Nizwan, M.F. Abdullah,A. Jalar, M.F. Yunoh: International Journal of Modern Physics B Vol. 24(2010), p.175.

DOI: 10.1142/s0217979210064101

Google Scholar

[2] M. Loman, S. Abdullah, N. Jamaluddin: International Conference on Science & Technology: Applications in Industry & Education (2008).

Google Scholar

[3] O.Y. Andreykiv, M.K.V. Lysak, O.M. Serhiyenko, V.R. Skalsky: Engineering Fracture Mechanics Journal (2001), p.1317.

DOI: 10.1016/s0013-7944(01)00026-1

Google Scholar

[4] Z.M. Nopiah, M.I. Khairir and S. Abdullah: International Conference on Signal Processing (SIP'08) (2008).

Google Scholar

[5] Anon: ASTM Book of Standard-2000, Vol. 03. 01 (2000), p.56.

Google Scholar

[6] K.A. Sweitzer and N.S. Ferguson: Twelfth International Congress on Sound and Vibration (2005).

Google Scholar

[7] T. Tanaka and Y. Izawa: Journal of Nuclear Science and Technology Vol. 39(2002), p.514.

Google Scholar

[8] K. Yamaguchi et. Al: Journal of Science and Technology of Advanced Materials (2007).

Google Scholar

[9] M. Loman, A Study of Fatigue Crack Initiation using Acoustic Emission Technique, Thesis of Master Degree ( Department of Mechanical and Materials, Universiti Kebangsaan Malaysia 2010).

Google Scholar

[10] C. Ennaceur, A. Laksimi, C. Herve´, M. Cherfaoui: International Journal of Pressure Vessels and Piping 83 (2006), p.197.

DOI: 10.1016/j.ijpvp.2005.12.004

Google Scholar