User:GeoZorby/Draft RUS

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Introduction

Resonant ultrasound spectroscopy (RUS) is a laboratory technique whose use in

natural frequencies at which they vibrate when mechanically excited. The natural frequency depends on the elasticity, the size and the shape of the object; RUS exploits this property of solids to determine the elastic tensor of the material. The great advantage of this technique is that the entire elastic tensor is obtained from a single crystal sample in a single rapid measurement.[1]

History

Interest in elastic properties made its entrance with

computer algorithms to their current state, introducing the final term resonant ultrasound spectroscopy (RUS).[2]

Theory

First you have to solve the problem of calculating the

natural frequencies in terms of sample dimensions, mass, and a set of hypothetical elastic constants (the forward problem). Then you have to apply a nonlinear inversion algorithm to find the elastic constants from the measured natural frequencies (the inverse problem
).

Lagrangian minimization

All RUS measurements are performed on samples that are free vibrators. Because a complete

Finite element methods base on balancing the forces on a differential volume element and calculating its response. Energy minimization methods, on the other hand, determine the minimum energy, and thus the equilibrium configuration for the object. Among the energy minimization techniques, the Lagrangian minimization is the most used in the RUS analyses because of its advantage in speed
(an order of magnitude smaller than the finite-element methods).
The procedure begins with an object of
volume V, bounded by its free surface S.
The Lagrangian is given by

where KE is the kinetic energy density

and PE is the potential energy density

Four normal modes of vibrations for a rectangular parallelepiped sample.
Fig. 1: Computer-generated illustrations of some normal modes of vibrations for a rectangular parallelepiped sample.

Here, is the ith component of the

displacement vector, ω is the angular frequency
from harmonic time dependence, is a component of the elastic tensor, and ρ is the
Cartesian coordinate
directions.
To find the minimum of the Lagrangian, you must calculate the
differential of L as a function of u, the arbitrary variation of u in V and on S. This gives:

Because is arbitrary in V and on S, both terms in square brackets must be zero.

elastic wave equation. The second square bracketed term is an expression of free surface
boundary conditions; is the unit vector normal to S. For a free body (as we assume it), the latter term sums to zero and can be ignored.
Thus the set of that satisfies the previously mentioned conditions are those displacements that correspond to ω being a
variational method (in our case the Rayleigh-Ritz variational method, explained in the next paragraph) to determine both the normal mode frequencies and the description of the physical oscillations.[4] To quote Visscher, getting both equations from the basic Lagrangian is “a mathematical fortuity that may have occurred during a lapse in Murphy’s vigilance”.[5]

Rayleigh-Ritz Variational Method

The actuation of this approach requires the expansion of the in a set of basis functions appropriate to the geometry of the body, substituting that expression into Eq. (1) and reducing the problem to that of diagonalizing a N×N matrix (

stationary points
of the Lagrangian are found by solving the eigenvalue problem resulting from Eq. (4), that is,

where a are the approximations to the motion expanded in a complete basis set, E comes from the kinetic energy term, and Γ comes from the elastic energy term. The order of the matrices is ~10^3 for good approximations.
Equation (5) determines the

elastic moduli.[3]

The Inverse Problem

The

analytical solution
, so it needs to be solved by computational methods. For the indirect method, a starting resonant frequency spectrum, (n=1,2,…) is calculated using estimated values for the elastic constants and the known sample dimensions and density. The difference between the calculated and measured resonance frequency spectrum, (n=1,2,…) is quantified by a
figure of merit function,

where (n=1,2,…) are weight coefficients reflecting the confidence on individual resonance measurements. Then, a minimization of the function F is sought by regressing the values of all the elastic constants using

computer software developed for this process.[6]

Measurements

RUS schematic diagram with: signal source, drive transducer, sample, pickup transducer and measured spectrum.
Fig. 2: Schematic of the two transducer resonant ultrasound spectroscopy set up.

The most common method for detecting the mechanical resonant spectrum is illustrated in Fig. 2, where a small parallelepiped-shaped sample is lightly held between two

natural frequencies
(from which the elastic constants are determined) and the
precision
is always on the order of a few parts per million.
Unlike in a conventional ultrasonic measure, in a method that resonates the sample a strong coupling between the transducer and the sample is not required, because the sample behaves as a natural amplifier.[2] Rather, keeping at minimum the couple between them, you get a good approximation to free surface boundary conditions and tend to preserve the Q, too. For variable-temperature measurements the sample is held between the ends of two buffer rods that link the sample to the transducers (Fig. 3) because the transducers must be kept at room temperature. In terms of pressure, on the contrary, there is a limit of only a few bars, because the application of higher pressures leads to dampening of the resonances of the sample.[1]

Samples

RUS can be applied to a great range of samples sizes, with a minimum in the order or a few hundred

microns
, but for the measurement of mineral elasticity it is used on samples typically between 1 mm and 1 cm in size.
The sample, either a fully compressed
polycrystalline aggregate or a single crystal, is machined in to a regular shape.[1]
Theoretically any sample shape can be used, but you obtain a substantial saving in computational time using rectangular parallelepiped resonators (RPR), spherical or cylindrical ones (less time savings with cylinders).

The sample assembly for a resonance ultrasonic spectroscopy measurement showing the sample cube lightly held between the two buffer rods that transmit the ultrasonic excitations between the transducers and the cube.
Fig. 3: The sample assembly for a RUS variable-temperature measurement.

Since the accuracy of the measure depends strictly on the accuracy in the sample preparation, several precautions are taken: RPRs are prepared with the edges parallel to crystallographic directions; for cylinders only the axis can be matched to sample

isotropic
samples, alignment is irrelevant. For the higher symmetries, it is convenient to have different lengths edges to prevent a redundant resonance.
Measurements on single crystals require orientation of the sample crystallographic axes with the edges of the RPR, to neglect the orientation computation and deal only with
elastic moduli.[4]

Polycrystalline samples should ideally be fully dense, free of cracks and without preferential orientation of the
grains. Single crystal samples must be free of internal defects such as twin walls. The surfaces of all samples must be polished flat and opposite faces should be parallel. Once prepared, the density must be measured accurately as it scales the entire set of elastic moduli.[1]

Transducers

Unlike all other ultrasonic techniques, RUS

frequencies. For RPRs this requires a very light touch between the sample’s corners and the transducers. Corners are used because they provide elastically weak coupling, reducing loading, and because they are never vibrational node points. Sufficiently weak contact ensures no transduced correction is required.[4]

Applications

As a versatile tool for charactering elastic properties of solid materials, RUS has found applications in a variety of fields.
In

shear wave splitting. These data help us to constrain mantle composition and distinguish regions of hydrogen enrichment from regions of high temperature or partial melt
.

References