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The Boltzmann–Matano method is used to convert the
partial differential equation In mathematics, a partial differential equation (PDE) is an equation which imposes relations between the various partial derivatives of a Multivariable calculus, multivariable function. The function is often thought of as an "unknown" to be sol ...
resulting from
Fick's law of diffusion Fick's laws of diffusion describe diffusion and were derived by Adolf Fick in 1855. They can be used to solve for the diffusion coefficient, . Fick's first law can be used to derive his second law which in turn is identical to the diffusion eq ...
into a more easily solved
ordinary differential equation In mathematics, an ordinary differential equation (ODE) is a differential equation whose unknown(s) consists of one (or more) function(s) of one variable and involves the derivatives of those functions. The term ''ordinary'' is used in contrast w ...
, which can then be applied to calculate the
diffusion coefficient Diffusivity, mass diffusivity or diffusion coefficient is a proportionality constant between the molar flux due to molecular diffusion and the gradient in the concentration of the species (or the driving force for diffusion). Diffusivity is enco ...
as a function of concentration.
Ludwig Boltzmann Ludwig Eduard Boltzmann (; 20 February 1844 – 5 September 1906) was an Austrian physicist and philosopher. His greatest achievements were the development of statistical mechanics, and the statistical explanation of the second law of thermodyn ...
worked on Fick's second law to convert it into an ordinary differential equation, whereas Chujiro Matano performed experiments with diffusion couples and calculated the diffusion coefficients as a function of concentration in metal alloys. Specifically, Matano proved that the diffusion rate of A atoms into a B-atom crystal lattice is a function of the amount of A atoms already in the B lattice. The importance of the classic Boltzmann–Matano method consists in the ability to extract diffusivities from concentration–distance data. These methods, also known as ''inverse methods'', have both proven to be reliable, convenient and accurate with the assistance of modern computational techniques.


Boltzmann’s transformation

Boltzmann’s transformation converts Fick's second law into an easily solvable ordinary differential equation. Assuming a diffusion coefficient ''D'' that is in general a function of concentration ''c'', Fick's second law is :\frac = \frac \underbrace_\text, where ''t'' is time, and ''x'' is distance. Boltzmann's transformation consists in introducing a variable ''ξ'', defined as a combination of ''t'' and ''x'': :\xi = \frac. The partial derivatives of ''ξ'' are: :\frac = -\frac = -\frac, :\frac = \frac. To introduce ''ξ'' into Fick's law, we express its partial derivatives in terms of ''ξ'', using the
chain rule In calculus, the chain rule is a formula that expresses the derivative of the composition of two differentiable functions and in terms of the derivatives of and . More precisely, if h=f\circ g is the function such that h(x)=f(g(x)) for every , ...
: :\frac = \frac \frac = -\frac \frac, :\frac = \frac \frac = \frac \frac. Inserting these expressions into Fick's law produces the following modified form: :-\frac \frac = \frac \frac \left D(c) \frac \right Note how the time variable in the right-hand side could be taken outside of the partial derivative, since the latter regards only variable ''x''. It is now possible to remove the last reference to ''x'' by using again the same chain rule used above to obtain ''∂ξ/∂x'': :-\frac \frac = \frac \frac \left D(c) \frac \right Because of the appropriate choice in the definition of ''ξ'', the time variable ''t'' can now also be eliminated, leaving ''ξ'' as the only variable in the equation, which is now an ordinary differential equation: :-2\xi \frac = \frac \left D(c) \frac \right This form is significantly easier to solve numerically, and one only needs to perform a back-substitution of ''t'' or ''x'' into the definition of ''ξ'' to find the value of the other variable.


The parabolic law

Observing the previous equation, a
trivial solution In mathematics, the adjective trivial is often used to refer to a claim or a case which can be readily obtained from context, or an object which possesses a simple structure (e.g., groups, topological spaces). The noun triviality usually refers to a ...
is found for the case d''c''/d''ξ'' = 0, that is when concentration is constant over ''ξ''. This can be interpreted as the rate of advancement of a concentration front being proportional to the square root of time (x \propto \sqrt t), or, equivalently, to the time necessary for a concentration front to arrive at a certain position being proportional to the square of the distance (t \propto x^2); the square term gives the name '' parabolic law''.Se
an animation of the parabolic law


Matano’s method

Chuijiro Matano applied Boltzmann's transformation to obtain a method to calculate diffusion coefficients as a function of concentration in metal alloys. Two alloys with different concentration would be put into contact, and annealed at a given temperature for a given time ''t'', typically several hours; the sample is then cooled to ambient temperature, and the concentration profile is virtually "frozen". The concentration profile ''c'' at time ''t'' can then be extracted as a function of the ''x'' coordinate. In Matano's notation, the two concentrations are indicated as ''cL'' and ''cR'' (L and R for left and right, as shown in most diagrams), with the implicit assumption that ''cL'' > ''cR''; this is however not strictly necessary as the formulas hold also if ''cR'' is the larger one. The initial conditions are: :c=c_L \qquad \forall x<0 :c=c_R \qquad \forall x>0 Also, the alloys on both sides are assumed to stretch to infinity, which means in practice that they are large enough that the concentration at their other ends is unaffected by the transient for the entire duration of the experiment. To extract ''D'' from Boltzmann's formulation above, we integrate it from ''ξ''=+∞, where ''c''=''cR'' at all times, to a generic ''ξ*''; we can immediately simplify d''ξ'', and with a change of variables we get: :-2\int_^ \xi \mathrmc = \int_^ \mathrm\left D(c)\left(\frac\right)\right/math> We can translate ''ξ'' back into its definition and bring the ''t'' terms out of the integrals, as ''t'' is constant and given as the time of annealing in the Matano method; on the right-hand side, extraction from the integral is trivial and follows from definition. :-\frac \int_^ x \mathrmc = \left D(c)\left(\frac\right)\right^ We know that d''c''/d''x'' → 0 as ''c'' → ''cR'', that is the concentration curve "flattens out" when approaching the limit concentration value. We can then rearrange: :D(c^*) = - \frac \frac Knowing the concentration profile ''c(x)'' at annealing time ''t'', and assuming it is invertible as ''x(c)'', we can then calculate the diffusion coefficient for all concentrations between ''cR'' and ''cL''.


The Matano interface

The last formula has one significant shortcoming: no information is given about the reference according to which ''x'' should be measured. It was not necessary to introduce one as Boltzmann's transformation worked fine without a specific reference for ''x''; it is easy to verify that the Boltzmann transformation holds also when using ''x''-''XM'' instead of plain ''x''. ''XM'' is often indicated as the Matano interface, and is in general not coincident with ''x''=0: since ''D'' is in general variable with concentration ''c'', the concentration profile is not necessarily symmetric. Introducing ''XM'' in the expression for ''D(c*)'' above, however, introduces a bias that appears to make the value of ''D'' completely an arbitrary function of which ''XM'' we choose. ''XM'', however, can only assume one value due to physical constraints. Since the denominator term d''c''/d''x'' goes to zero for ''c'' → ''cL'' (as the concentration profile flattens out), the integral in the numerator must also tend to zero in the same conditions. If this were not the case ''D(cL)'' would tend to infinity, which is not physically meaningful. Note that, strictly speaking, this does not guarantee that ''D'' does not tend to infinity, but it is one of the necessary conditions to ensure that it does not. The condition is then: :0 = \int^_ (x-X_M) \mathrmc :X_M = \frac \int^_ x \mathrmc In other words, ''XM'' is the average position weighed on concentrations, and can be easily found from the concentration profile providing it is invertible to the form ''x(c)''.


Sources

* M. E. Glicksman, ''Diffusion in Solids: Field Theory, Solid-State Principles, and Applications'', Wiley, New York, 2000. * Matano, Chujiro. "On the Relation between the Diffusion-Coefficients and Concentrations of Solid Metals (The Nickel-Copper System)". Japanese Journal of Physics. Jan. 16, 1933.


References

{{DEFAULTSORT:Boltzmann-Matano Analysis Diffusion