Ultrasound Material Characterization of Complex Matrix Material and Mitigation of Noise using Signal Processing Techniques

Ultrasonic inspection as a non-destructive technique is used to inspect various materials for subsurface defects caused due to air, cracks, material variation etc. Sometimes particles are added to clean materials to improve the strength and thermal conductivity of the material. While this improves the material properties, the presence of these particles causes attenuation of the ultrasonic signal, loss of signal strength and also signal scattering[1,2,3,4,5,6,7,8]. Due to this, imaging subsurface interfaces with the complex matrix material as a primary interface is challenging. The images from subsurface interfaces are noisy and the features are not well resolved. The objective of this research study is to focus on understanding the traditional material properties of complex matrix material such as velocity, density, modulus etc., along with the filler particles’ grain size, density and distribution. A transfer function for the noise caused by the filler particles that corrupts the Ultrasonic signal was developed based on parametric model of Ultrasonic reflection from clean material and parametric model of ultrasonic reflection from the complex matrix material with particles in the size range of 150um-250um. A real sample with particles was made and imaged ultrasonically. The transfer function was applied to the A-scan data from the sample to mitigate the noise caused by these particles and the image was reconstructed to show improvement. This paper also addresses some of the challenges to this technique and potential future research work.

  1. Newhouse, V.L., Bilgutay, N.M., Saniie, J. and Fergason, E.S. Flaw-to-grain echo enhancement by spiltspectrum processing Ultrasonics (1982) 20 59-68
  2. Karpur, P., Shankar, P.M., Rose, J.L., and Newhouse,V.L., Split-spectrum processing: optimizing the processing parameters using minimization Ultrasonics (1987) 25 204-208
  3. Bilgutay, N.M., Newhouse, V.L., and Fergason, E.S. Flaw visibility enhancement by split-spectrum processing techniques Proc 1981 IEEE Ultrasonics Symp (1981) 878-883
  4. Bilgutay, N.M., Saniie, J., Furgason, E.S. and Newhouse, V.L., Flaw-to-grain echo echancement Ultrasonics International 1979 Butterworth Scientific, Guildford Surrey, UK (1979) 152-157
  5. Li Yue and Ying Ching-Fu Two signal processing techniques for the enhancement of the flaw-to-grain echo ratio Ultrasonics (1987) Vol 25 March 90-94
  6. Karpur, P., Shankar, P.M., Rose, J.L., and Newhouse,V.L., Split-spectrum processing: determination of the available bandwidth for spectral splitting Ultrasonics (1988) 26 204-209
  7. Bilgutay, N.M., Bencharit, U., Murthy, R. and Saniie, J. Analysis of a non-linear frequency diverse clutter suppression algorithm Ultrasonics (1990) 28 90-96
  8. Yong, Zhu and John P. Weight Ultrasonic Nondestructive Evaluation of Highly Scattering Materials Using Adaptive Filtering and Detection IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, Vol. 41, No 1, January 1994.
  9. R. Demirli, J. Saniie, “Model-Based Estimation of Ultrasonic Echoes, Part I: Analysis and Algorithms,” IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vo. 48, no. 3, pp. 787-802, May 2001.
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