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Research Article | Open Access |

Theoretical and numerical characterization of continuously graded thin layer by the reflection acoustic microscope

Author 1: Ahmed Markou Author 2: Hassan Nounah Author 3: Lahcen Mountassir
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 7, No. 2 · Published 2016

DOI: https://doi.org/10.14569/IJACSA.2016.070279

Abstract

This article presents a theoretical and numerical study by the reflection acoustic microscope of the surface acoustic waves propagation at the interface formed by a thin layer and the coupling liquid (water). The thin layer presents a gradient in its acoustical parameters along its depth. A stable transfer matrix method is used to compute the reflectance function of the surface acoustic modes radiated in the coupling liquid. This function is required to calculate the theoretical acoustic material signature which allows to determine the phase velocity of these modes. In order to characterize the influence of the gradient on the acoustic material signature, a few gradient functions are studied. The numerical results obtained show that the acoustic material signature can be used to characterize these profiles.

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How to Cite this Article

Markou, A., Nounah, H., & Mountassir, L. (2016). Theoretical and numerical characterization of continuously graded thin layer by the reflection acoustic microscope. International Journal of Advanced Computer Science and Applications, 7(2). https://doi.org/10.14569/IJACSA.2016.070279

Markou, Ahmed, et al.. "Theoretical and numerical characterization of continuously graded thin layer by the reflection acoustic microscope." International Journal of Advanced Computer Science and Applications, vol. 7, no. 2, 2016, https://doi.org/10.14569/IJACSA.2016.070279.

@article{Markou2016,
  title     = {Theoretical and numerical characterization of continuously graded thin layer by the reflection acoustic microscope},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {7},
  number    = {2},
  year      = {2016},
  publisher = {The Science and Information Organization},
  author    = {Ahmed Markou and Hassan Nounah and Lahcen Mountassir},
  doi       = {10.14569/IJACSA.2016.070279},
  url       = {https://doi.org/10.14569/IJACSA.2016.070279}
}

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