2019
DOI: 10.1007/s42452-019-1301-y
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Elastic constants determination of anisotropic materials by depth-sensing indentation

Abstract: Depth-sensing indentation is a useful and powerful tool for the mechanical characterization of materials at the micro and nano scale. This technique allows the determination of the Young modulus from the analysis of the load-penetration depth curve according to specific theoretical models. One of the most used models is that one proposed by Oliver and Pharr. However, when a material with anisotropic mechanical properties is tested, Oliver and Pharr's theory is no longer suitable to describe the contact mechani… Show more

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Cited by 10 publications
(6 citation statements)
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“…This method has proven to be very accurate in calculating the orthotropic elastic moduli of materials from monotonic instrumented nanoindentation techniques and for nanomechanical characterization of thin film coatings. [ 46,63 ] In this work, an algorithm initially proposed in the study by Lamuta [ 74 ] is applied to find the orthotropic elastic constants of the material. It consists of finding the three main independent elastic moduli of the material ( E 11 , E 22 , and E 33 ) and the Poisson's ratios, assuming that the corresponding shear moduli ( G 44 , G 55 , and G 66 ) can be written as functions of the elastic coefficients mentioned earlier, i.e.{G12=E112false(1+ν12false)G13=E332false(1+ν13false)G23=E222false(1+ν23false)…”
Section: Methodsmentioning
confidence: 99%
See 2 more Smart Citations
“…This method has proven to be very accurate in calculating the orthotropic elastic moduli of materials from monotonic instrumented nanoindentation techniques and for nanomechanical characterization of thin film coatings. [ 46,63 ] In this work, an algorithm initially proposed in the study by Lamuta [ 74 ] is applied to find the orthotropic elastic constants of the material. It consists of finding the three main independent elastic moduli of the material ( E 11 , E 22 , and E 33 ) and the Poisson's ratios, assuming that the corresponding shear moduli ( G 44 , G 55 , and G 66 ) can be written as functions of the elastic coefficients mentioned earlier, i.e.{G12=E112false(1+ν12false)G13=E332false(1+ν13false)G23=E222false(1+ν23false)…”
Section: Methodsmentioning
confidence: 99%
“…Now, following the Delafargue and Ulm [ 63 ] approach, MknormalD is then calculated as a function of the components of the stiffness matrix of the indented material. [ 63,74 ] The stiffness matrix, calculated as the inverse of the orthotropic compliance matrix (Equation ()), is expressed in Voigt notation as followsinvfalse(boldCboldefalse)=C=17extrue(C11C12C13000C21C22C23000C31C32C33000000C44000000C55000000C6617extrue)…”
Section: Methodsmentioning
confidence: 99%
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“…Hence, the intrinsic structural arrangement and connectivity also impact nano-indentation measurements. The measurement of the stiffness and hardness of thin films and coatings [26,30] has to take into account the nano-indentation and plasticity effects [5], in particular, for Au nanoporous structures to provide meaningful results [31,32]. However, the typical indentation depths involved in the measurements, ranging from a few hundred nanometers to several microns [26], are larger than the ultrathin porous film thickness described in this review.…”
Section: Mechanical Propertiesmentioning
confidence: 98%
“…This is especially the case of the pyC matrices which are difficult to isolate from the fibrous preforms and hence to characterize with other techniques like tensile or bending tests. However, it is agreed that compression/indentation tests are generally much more difficult to interpret in terms of the materials elastic tensors, especially when such tensors show high anisotropy [10,14], which is generally the case of both carbon fibers and high texture pyC matrices. A particularly counter-intuitive result is generally reported when NI tests are performed with the indentation direction parallel to the graphene layers (a-axis) of highly anisotropic carbons.…”
Section: Introductionmentioning
confidence: 99%