The Blemish Identify in Ultrasonic Testing of Friction Welded Joints Based on Fractal Theory

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Abstract:

The friction welded joints made by GH4169 heat metal alloys are detected by U1traPAC system of the ultrasonic wave explore instrument. Aimed at the blemish signal characteristics, a method is put forward to identify the blemish signal in ultrasonic testing of friction welded joints based on fractal theory., A new kind of fractal dimension number calculation method—normalized scale box-counting dimension method is used to calculate the box-dimension of the blemish signal, and statistic and analysis the scopes of the box-dimension of the blemish signal and the square differ of the result. The preliminary experimental results show that the blemish signal and have each fractal dimension zones, and don’t hand over to fold. So it can use to judge whether the blemish exist or not. The method is identified to have better covariance characteristics about the blemish identify of the friction welded joints.

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942-946

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October 2015

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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[1] Suigeng Du. New Development of Friction Welding Technique. Welding Technology, Vol. 29, No. 3, p.49, Jun. (2000).

Google Scholar

[2] BEkir S, Yilbas et al. Friction welding of St-Al and Al-Cu materials, Journal of materials Processing Technology, No. 49, pp.431-443, (1995).

DOI: 10.1016/0924-0136(94)01349-6

Google Scholar

[3] Wen xin, Zhou lu et al. Application Design of Neural Network by Matlab. Science Technology Publishing House, Beijing, (2003).

Google Scholar

[4] Wu xiao-li et al. Aided Design of Fuzzy System Based on Matlab. Xidian University Publishing House, Xi'an, (2002).

Google Scholar

[5] BEkir S, Yilbas et al, Investigation into the properties of friction-welded aluminium bars, Journal of materials Processing Technology,54 (1995):76-81.

DOI: 10.1016/0924-0136(95)01923-5

Google Scholar

[6] Reber K. A new generation of ultrasonic in-line inspection tools for detecting, sizing andlocating metal loss and cracks in transmission pipelines[A]. IEEE Ultrasonics Symposium[C]. 2002: 665-671.

DOI: 10.1109/ultsym.2002.1193490

Google Scholar

[7] Zhenhua Chen, Yaowu Shi, Biaoqiang Jiao, Haiyan Zhao. Ultrasonic nondestructive evaluation of spot welds for zinc-coated high strength steel sheet based on wavelet packet analysis. Journal of materials processing technology, (2009).

DOI: 10.1016/j.jmatprotec.2008.05.030

Google Scholar

[8] Engin Avci, Derya Avci. A novel approach for digital radio signal classification: Wavelet packet energy-multiclass support vector machine (WPE-MSVM). Expert Systems with Applications, 2008(34): 2140~2147.

DOI: 10.1016/j.eswa.2007.02.019

Google Scholar