Imaging of Defects Cross Section in Mild Steel Samples Imposed by Artificial Defects usingUltrasonic Pulser Receiver

Devendra Kumar Singh*
*Lecturer, Rajkiya Engineering College, Sonbhadra, Uttar Pradesh, India.
Periodicity:February - April'2017
DOI : https://doi.org/10.26634/jme.7.2.13434

Abstract

NDT (Nondestructive Testing) is one of the most important tools for quality assurance of structural member during manufacturing stage and operational life. Among number of NDE methods, Ultrasonic has been the most important tool of choice to inspect, since the likely defects and material properties are easily and inexpensively uncovered by it. Manual ultrasonic is much better than radiography for planar defects, though the result is operator-dependent. Due to hazardous nature of X-rays, ultrasonic NDT gained importance in Medical and Quality checking departments. Due to limitations in accessing other side of the structure/specimen and immeasurability of transmitted signal (such as cardiovascular imaging), ultrasonic reflection imaging has great importance for NDE as well as medical applications. In the present paper, the ultrasonic reflection imaging of defected portion is used to characterize a defect by the Time of Flight data of reflected signal. It involves the reconstruction of slowness field for centered square, circular defects of epoxy implanted in Mild steel specimen. Backwall Reflected signal time of flight data is collected by using pulsar receiver ultrasound instrument in pulse echo mode. Slowness field reconstruction is done by Gordon’s Algebraic Reconstruction Technique (ART). Before the reconstruction, the signals are denoised by adopting EMD technique. Variation of parameters like number of iteration required for convergence, convergence rate, and normalized error with relaxation parameter have been studied. From the point of view of computation time, convergence and quality of reconstructed image optimal selection of relaxation for best performance has been chosen. Results have shown that algorithm is capable of characterizing defects; but for curve boundary defects, shape accuracy is less.

Keywords

NDT, UT, ART, Mild Steel, Image Reconstruction.

How to Cite this Article?

Singh, D. K. (2017). Imaging of Defects Cross Section in Mild Steel Samples Imposed by Artificial Defects using Ultrasonic Pulser Receiver. i-manager’s Journal on Mechanical Engineering, 7(2), 22-34. https://doi.org/10.26634/jme.7.2.13434

References

[1]. Krautkramer, J. and Krautkramer, H., (1990). Ultrasonic th Testing of Materials, 4 Edition. Springer-Verlag, New York.
[2]. Achenbach, J.D., (1973). Wave Propagation in Elastic Solids. North Holland Publishing Company, Amsterdam, New York.
[3]. Herman, G.T., (1980). Image Reconstructions from Projections. Academic Press, New York.
[4]. Huang N.E., et al., (1998). “The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis”. Proc. R. Soc. Lond. A, Vol.454, No.1971, pp.903-995.
[5]. Feldman M., (2009). “Analytical basis of the EMD: Two harmonics decomposition”. Mechanical Systems and Signals Processing, Vol.23, No.7, pp.2059-2071.
[6]. Rangayyan Rangaraj, Dhawan Atam Prakash, and Gordon Richard., (1985). “Algorithms for limited-view computed tomography: An annotated bibliography and a challenge”. Applied Optics, Vol.24, No.23, pp.4000-4012.
[7]. Gordon R., Bender R., and Herman G. T., (1970). “Algebraic Reconstruction Techniques (ART) for three-dimensional electron microscopy and X-ray photography”. J. Theor. Biol., Vol.29, No.3, pp.471-481.
[8]. Alexander Velichko, Paul D, Wilcox, and Bruces W. Drinkwater, (2013). “Array Imaging and Defect Characterization using Post-Processing Approaches”. Advances in Acoustic Microscopy and High Resolution Imaging: From Principles to Applications, pp.231-275.
[9]. Dan Gordan, (2006). “Parallel ART for image reconstruction in CT using processor arrays”. The International Journal of Parallel, Emergent and Distributed Systems, Vol.21, No.5, pp.365-380.
[10]. Tanuja Srivastava, Raghuveer Singh, and Nirvikar, (2010). “ART for Image Reconstruction using Parallel Beam Projection Data”. International Journal of Information Sciences and Applications, ISSN 0974-2255, Vol.2, No.4, pp.627-630.
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