Defect and Diffusion Forum
Vol. 293
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Defect and Diffusion Forum
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Defect and Diffusion Forum
Vol. 279
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Defect and Diffusion Forum
Vols. 273-276
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Vol. 272
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Defect and Diffusion Forum Vol. 279
Paper Title Page
Abstract: Engineering materials are commonly polycrystalline in nature and chemically
inhomogeneous containing hetero-phases and interfaces. Because diffusion is ubiquitous in
dissimilar phases and defects, it plays a vital role in the performance and reliability. During the last
several decades, a synergism of the microstructural properties and chemical inhomogeniety with
diffusion has been attempted to unify their apparently diverse behavior. We discuss the
methodology and the thermodynamical analyses of the diffusion data needed to obtain this
synergism quantitatively and illustrate it by the results obtained in a wide variety of materials, both
metallic and non-metallic. Investigations carried out in pure polycrystalline metals have yielded
grain boundary energies comparable to those directly measured. Furthermore, we discuss the role of
solute segregation at grain boundaries and interfaces in alloys in altering diffusion. From the
perturbations caused, the solute segregation parameters - the enthalpy and the entropy of binding -
have been extracted and levels of solute concentrations estimated. Finally, it is shown that similar
analyses when applied to complex materials, e.g. the Pb-Sn eutectic alloy, the Ni3Al intermetallic
compound, and an Ag-ceramic system, also result in acceptable values of interface energies and
segregation factors.
1
Abstract: In this overview, we introduce the recently developed Lattice Monte Carlo method
for addressing and solving phenomenologically-based mass and thermal diffusion problems
especially for composite and porous materials. With examples, we describe the application of this
numerical method to calculate effective mass diffusivities and concentration profiles. Next, we
describe the application of this method to the calculation of effective thermal conductivities/thermal
diffusivities and temperature profiles.
13
Abstract: The paper reviews the correlation between the processes of diffusion and melting. It is
shown that the entropy of fusion and the melting temperature have a governing influence on the
self-diffusion rates in solids. The relationship between self-diffusion coefficient (D) in solids and
the melting parameters can be expressed as follows:
D = fa2ν exp (κSm / R) exp (– κSmTm / RT) ,
where f is the correlation factor, a the lattice parameter, ν the vibration frequency, Sm the entropy of
fusion, Tm the melting temperature in degree K, κ a constant and R, T have their usual meaning. The
above equation has been derived on the basis that the free energy of activation for diffusion is
directly proportional to the free energy of liquid phase. The well known relationships of the
activation energy for self-diffusion with the melting point and enthalpy of fusion can be derived on
the basis of this assumption. The constant κ is a group constant for any class or group of solids
having identical physical and chemical properties. The validity of the above equation is
demonstrated by the fact that when the self-diffusion coefficients are plotted as a function of
homologous temperature, they scale inversely with the magnitude of the entropy of fusion. The
hierarchy of self-diffusion rates within any group of solids is governed by the magnitude of the
entropy of fusion and the melting temperature.
The paper also discusses some interesting fall out of the close relationship between the
diffusion and the melting parameters concerning (a) the diffusion in elemental anisotropic lattices,
(b) anomalous diffusion behavior in bcc transition metals, lanthanides and actinides and (c)
congruently melting compounds.
23
Abstract: A new form of diffusion coefficient termed as thermodynamic diffusion coefficient is
introduced in this paper. Conventionally, diffusion coefficients are evaluated using concentration
gradient as driving force. But truly, chemical potential gradient is the actual driving force that
determines the material flow in any part of the system. Thermodynamic diffusion coefficients are
based on chemical potential gradient as driving force. The relation between thermodynamic
diffusion coefficients and phenomenological coefficients has been established. The advantages of
thermodynamic diffusion coefficients have been underlined, especially, in the cases of line
compounds where concentration difference across the phase is zero or in case of intermetallic
compounds with narrow homogeneity range. The intrinsic thermodynamic diffusion coefficients are
equal to tracer diffusion coefficients. This helps in estimating tracer diffusivities in cases where
tracers are not easily available. The advantages of thermodynamic diffusion coefficients are shown
in binary and ternary systems by illustrating them in Ni-Al and Fe-Ni-Cr systems.
39
Abstract: The incremental diffusion couples are used for evaluating interdiffusion couples in a
narrow composition range and these results are extrapolated to get an estimate of impurity diffusion
coefficients. In fact, several incremental couples are needed to get impurity diffusion coefficients at
different compositions. This process is generally tedious. The present method describes a relatively
simple method for evaluating the diffusion coefficients using “step diffusion couples”. A simple
experimental method is described to prepare a step diffusion couple. This method involves
preparation of diffusion couples in two stages. In the first stage, diffusion couple is made between
the two materials in a conventional way and annealed for extended period of time to have a large
diffusion zone typically of the order of 2-3 mm. In the second stage, the starting materials are
placed on the diffusion couple in a direction perpendicular to the diffusion zone and annealed at a
suitable temperature for diffusion to occur between the diffusion zone and the starting materials.
This method is applied to study the interdiffusion behavior in the b phase of the Ti-Zr system.
Boltzmann-Matano and Hall’s methods were used to determine the interdiffusion coefficients and
their composition dependence. Kirkendall shift is observed towards Ti side and the intrinsic
diffusion coefficients of Ti is approximately three times that of Zr. The width of the diffusion zone
is strongly dependent on the composition of the step diffusion couple. It is observed that the
interdiffusion coefficients evaluated at the terminal compositions matched well those published
values in the Ti-Zr system. This experimental technique offers an easy and elegant method to
determine the diffusion parameters without the tedious preparation of incremental diffusion couples.
53
Abstract: The solid state diffusion characteristics in the Cu(Al) solid solution phase, was
investigated in the temperature range of 1023–1223 K using single phase bulk diffusion couples
between pure Cu/Cu- 10 at.% Al. The interdiffusion coefficients, D, were calculated using
Boltzmann–Matano method and Hall’s method from the concentration profiles of the couples that
were determined using EPMA. The interdiffusion coefficients (D) calculated ranges between 1.39 X
10−14 and 3.97 X 10−13 m2/s in the temperature range of 1023 to 1223 K. The composition and
temperature dependence of D were established. The activation energy for interdiffusion varies from
123.1 to 134.2 kJ/mol in the concentration range 1 at. % ≤ CAl ≤ 9 at. %. The impurity diffusion
coefficient of Al in Cu is determined by extrapolating the interdiffusion coeffficient values to
infinite dilution of the alloy i.e CAl →0 and its temperature dependence was also established. The
activation energy for impurity diffusion of Al in Cu was found to be 137.1 kJ/mol.
63
Abstract: Dilatometer is often used for in situ measurement of phase transformation by monitoring
the length change during heating or cooling cycle. However, the inevitable temperature gradient
across the specimen length during inductive heating, introduces uncertainty in temperature
measurements and hence the associated phase transformation kinetics. Due to this uncertainty, it is
more meaningful to interpret the transformation kinetics from dilatometry in terms transformation
ranges instead of unique values of fraction transformed. In the present work, a probabilistic
approach has been used to predict the fraction transformed ranges, arising due to the temperature
gradient during dilatometry. The approach has been validated for Fe-5.93 at.% Ni undergoing
austenite to ferrite phase transformation at various constant cooling rates.
71
Abstract: The recrystallization kinetic of 17Cr 1Mo ferritic steel was studied using 60% cold rolled
samples. The recrystallization was carried out at 750 , 800 and 9000C for 3, 5, 15, 30 and 60
minuets. The volume fraction of the recrystallized grains was used as a kinetic parameter. The
magnitude of time exponent “n” was much less than the ideal value because of the heterogeneous
recrystallization. The estimated activation energy for recrystallization “Q” was more as compared to
those for pure metals.
79
Abstract: The effect of thermal ageing on the heat capacity and transformation behaviour of
behaviour of 9Cr-1Mo-0.1C (wt.%) ferritic / martensitic steel has been studied using differential
scanning calorimetry (DSC) in the temperature range 473 to 1273 K. It is found that a-ferrite +
carbide ® g-austenite phase transformation temperature is only mildly sensitive to microstructural
details; but the enthalpy change associated with this phase transformation and especially, the change
in specific heat around the transformation regime are found to be dependent on the starting
microstructure generated by thermal ageing treatment. Prolonged ageing for about 500 to 5000
hours in the temperature range 823 to 923 K contributed to a decrease in heat capacity, as compared
to the normalised and tempered sample. The martensite microstructure is found to possess the
lowest room temperature CP among different microstructures.
85