1999
DOI: 10.1051/epjap:1999131
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Theoretical approach of the characterization of gradients in elastic properties by acoustic microscopy

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Cited by 4 publications
(3 citation statements)
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“…For example, at teen layers the velocity of Rayleigh mode is 3010.10 m/s and the error is about 0.34%. For a graded aluminum layer on the substrate of silica, for to have an error less than 1%, it should about twenty layers [4][5] [17]. This difference can be explained by the significant difference between the properties of the graded layer and those of substrate, in contrast to the Titanium alpha and Titanium where their properties are very close and the step of variation of the profile is weak, then, the continuity is assured only for several elementary layers.…”
Section: Numerical Results and Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…For example, at teen layers the velocity of Rayleigh mode is 3010.10 m/s and the error is about 0.34%. For a graded aluminum layer on the substrate of silica, for to have an error less than 1%, it should about twenty layers [4][5] [17]. This difference can be explained by the significant difference between the properties of the graded layer and those of substrate, in contrast to the Titanium alpha and Titanium where their properties are very close and the step of variation of the profile is weak, then, the continuity is assured only for several elementary layers.…”
Section: Numerical Results and Discussionmentioning
confidence: 99%
“…For modeling FGMs, tow approaches are possible. The first assumed that the gradient is piecewise varying, and the FGM is slicing into finite homogeneous layers [4] [5]. The second approach assumed that the gradient is varying continuously between the tow basic material properties [6].…”
Section: Introductionmentioning
confidence: 99%
“…Mnari et al [140] have determined the Young's moduli of sprayed SnS 2 and SnO 2 , which have potential applications as photovoltaic materials. A theoretical approach to the characterization of gradients in elastic properties by AM has been developed by Nounah et al [141]…”
Section: Selected Resultsmentioning
confidence: 99%