Temperature and Composition Reliance of the Mixing Properties of Fe-Mn Melts by Molecular Interaction Volume Model ()
1. Introduction
The iron-manganese (Fe-Mn) and Fe-Mn-based alloys have a wide range of applications in steel productions, welding industries, as catalysts and medicines, in paints, etc. For high-strength constructional materials, there are extensive applications of Fe-Mn system. The element Mn is an important alloy constituent associated with a number of ferroalloys and steels, i.e. twining induced plasticity and transformation induced plasticity steels, in order to make the material hard [1] [2]. The phase diagram [3] illustrates that Fe-Mn is a symmetric alloy in terms of
and
. Again, the positive values of
at each composition of Fe and the positive deviations of the activities of Fe and Mn from linearity signify the segregating character of Fe-Mn melts at 1863 K. Thus, Fe-Mn melts have drawn the attentiveness of several investigators [1] [2] [4]-[13] to explain the thermophysical behavior of Fe-Mn melts. However, the theoretical exploration of the alloying behaviour of Fe-Mn melts is scarce in the literature. Recently, Ogundeji et al. have applied self-association model [13] to explain the free energy of mixing,
, activity of Fe, concentration fluctuations,
, Warren-Cowley [14] [15] short-range order parameter,
, diffusivity, D and viscosity of Fe-Mn melts at 1863 K. Nevertheless, the theoretical explanation of the thermodynamic functions like excess free energy of mixing,
, activity of Mn, activity coefficient,
and
as well as excess stability function,
for Fe-Mn melts are not reported in the literature. Therefore, the thermophysical properties of Fe-Mn melts require further theoretical analysis.
The aim of the present work is to explore the thermodynamic, structural and transport functions of Fe-Mn melts at 1863 K by MIVM (i.e. molecular interaction volume model) presented by Tao [16]. Earlier MIVM model has been successfully utilized to analyse the thermodynamic functions of various binary melts such as Zn-Bi, Au-Ni, Au-Cu, Au-Pd, Ti-Al, Zn-Cd etc. [17]-[20] and ternary melts such as In-Bi-Sn, Al-Sn-Zn, Sn-Ag-Cu, Zn-Cu-Sn-In [21]-[24]. Therefore, MIVM model has been employed to predict the concentration dependence of the thermophsical properties like
,
,
,
,
,
,
,
,
and
of Fe-Mn melts at 1763 K, 1863 K, 1963 K and 2063 K.
2. Formalism
2.1. Thermodynamic Properties i.e. Excess Free Energy of Mixing,
, Free Energy of Mixing,
, Activity Coefficient,
and Activity,
of Binary Molten Alloys
The fluid based model MIVM has been introduced by Tao [16] and deduced from statistical thermodynamics, fluid-phase equilibria and the fundamental concept of the non-random exchange of liquid molecules. The molecular excess free energy of mixing of a binary molten alloy i-j is expressed as [16]
(1)
where,
and
are the compositions (or mole fractions) of i and j components respectively;
and
represent the first coordination numbers for i and j molecules respectively.
and
refer to pair-potential energy interaction parameters, expressed as [16]
and
(2)
where,
,
and
= pair potential energies for i-i, j-j and i-j respectively, in which
,
= Boltzmann constant and
= temperature in K of the liquid metal.
The partial molar free energy and molar excess free energy are related to
(3)
It is necessary to mention that the above equation is based on the condition such that when
,
; and
,
. Again,
defines the variables
and
where,
. Therefore, the activity coefficients of
and
elements of a binary alloy are, respectively, expressed as
(4)
and
(5)
Now, the first co-ordination number of ith component can be achieved on using the relation [16]
(6)
with
is the enthalpy at melting temperature,
and
is taken to be 12 for closed packed structure;
molecular number density;
and
= initial and first peak values of radial distribution function for the molten metal
near melting temperature, respectively, and
is the molar gas constant. The radial distances are expressed as
and
(7)
where,
and
= atomic diameter and atomic covalent diameter respectively.
The equations for activity coefficients of the components of the alloy in infinite dilute solution range i.e.
or
, are respectively given by
(8)
and
(9)
Again, the expressions for the activity of the constituents
and
in terms of activity coefficients are, respectively given by [25]
(10a)
(10b)
2.2. Microscopic Properties i.e. Concentration Fluctuations,
and Short-Range Order Parameter,
of a Binary
Molten Alloy
The concentration fluctuations,
and SRO,
play a vital role to explore the interatomic interactions in a liquid melt. If
, then the alloy is ordering and dissimilar atoms or molecules (i.e. i-j) associate together as the closest neighbours while
represents the segregating nature of the system i.e. similar atoms or molecules (i.e. i-i or j-j) associate together as the closest neighbours [25].
may be represented in terms of
by [25] [26]
(11)
where,
(12)
(13)
Equations (1), (11) and (13) yield
(14)
where,
(15)
For the ideal mixing condition,
, hence Equation (12) reduces to
. Therefore, Equations (14) and (15) provide
(16)
which represents the ideal
.
Again, concentration fluctuations in terms of activity can be expressed as [25]-[27]
(17)
The value of
computed from above equation on employing the experimental values of activity is considered as the experimental value of
[25]-[27].
The SRO,
introduced by Warren-Cowley [14] [15] in terms of
is represented as [25] [28]
with
(18)
where,
is the coordination number in first neighbor shell.
It is obvious from Equation (18) that
= positive for segregating alloys,
= negative for ordered alloys and
for ideal mixture.
2.3. Excess Stability Function,
and Diffusivity,
of a
Binary Molten Alloy
The excess stability function,
described by Darken [29] [30] can be expressed as
(19)
It is necessary to mention that
= positive for ordering alloy,
= negative for segregating alloy and
for ideal alloy depending upon the facts that
,
, and
respectively.
The transport property such as diffusivity is very useful to analyse the mixing behaviour of a binary solution at the microscopic level. For a binary liquid system, the diffusivity ratio is expressed as [25] [31].
(20)
where,
and
represent mutual diffusion coefficient of the system and intrinsic diffusion coefficient for ideal system respectively. Now,
is given by
(21)
where,
and
= self-diffusion coefficients of pure elements i and j respectively.
Equation (20) illustrates that
for ordered system,
for segregating system and
for ideal alloy.
3. Results and Discussions
3.1. Excess Free Energy of Mixing,
, Free Energy of Mixing,
,
Activity Coefficient,
, and Activity,
of Fe-Mn
Melts at 1863 K
The analytical equations for
,
,
and
are utilized to determine the thermodynamic properties of Fe-Mn melts at 1863 K. The necessary parameters for pure Fe and Mn are presented in Table 1 [32]. The coordination number
and
of the constituents of alloy are determined from Equation (6) which are presented in Table 2. The parameter
and
are evaluated on solving Equations (8) and (9) simultaneously by Newton-Raphson method. For this,
and
i.e. infinite dilute activity coefficients at 1863 K are required which have been presented in Table 2 [3]. The evaluated values of
and
are 0.9488 and 0.9410, respectively. In order to acquire good agreement between the theory and experiment [3] of Fe-Mn melts at 1863 K, the values of
and
are slightly altered. The best fit values of
and
are 0.9616 and 0.9863 respectively (included in Table 2). Obviously, values of
and
are increased through 1.34% and 4.8% respectively.
Table 1. Input parameters for the pure metals [32].
Metal, i |
(KJ/mol) |
(×10−8 cm) |
(×10−8 cm) |
(cm3/mol) |
Fe |
13.77 |
2.56 |
1.98 |
7.94 [1 + 1.3 × 10−4
(T − 1808)] |
Mn |
14.6 |
2.61 |
2.15 |
9.54 [1 + 1.6 × 10−4
(T − 1517)] |
Table 2. Estimated values of
,
,
and
for the constituents of Fe-Mn molten alloys at various temperatures.
i-j |
T (K) |
|
|
|
|
|
|
Fe-Mn |
1763 |
0.9855 |
0.9595 |
10.15 |
9.25 |
‒ |
‒ |
1863 |
0.9863 |
0.9616 |
10.08 |
8.89 |
1.330 |
1.330 |
1963 |
0.9870 |
0.9635 |
9.89 |
8.76 |
‒ |
‒ |
2063 |
0.9876 |
0.9653 |
9.76 |
8.63 |
‒ |
‒ |
Work flow of Newton-Raphson Method for calculation of Aij and Aji
START → Input experimental data: T, xi, xj, γi (exp.), γj (exp.), molar volumes (Vmi & Vmj), coordination number (Zi & Zj) → Give initial guesses for Aij and Aji → Calculate γi (calc.) and γj (calc.) using the MIVM → Calculate residual functions: F' = γi (calc.) − γi (exp) & F" = γj (calc.) − γj (exp) → Compute the Jacobian matrix (partial derivatives of F' and F" with respect to Aij and Aji) → Solve the Newton-Raphson equation: J ΔA = −F → Update parameters: Aij (new) = Aij (old) + ΔAij & Aji (new) = Aji (old) + ΔAji → Convergence test: |F'| < ε and |F"| < ε → Result is No or Yes → If No then Repeat Iteration, If Yes i.e. Output final values of Aij and Aji
The values of
calculated from Equation (1) as function of Fe for Fe-Mn alloys at 1863 K exhibit excellent uniformity with the corresponding experimental values [3] as shown in Figure 1. In composition range,
to 0.9, the value of
is positive at each concentration. The theoretical and experimental [3] data of
are in excellent harmony with maximum values at
i.e. 0.0710 (Theory) and 0.0711 (Experiment). The RMS error for
is found to be 0.0000894% from Equation (22). Hence, the present theoretical investigation successfully represents the symmetry in
and segregating character of Fe-Mn melts at 1863 K.
(22)
where,
= theoretical (calculated) values;
= experimental values;
= no. of data points.
Equation (13) is utilized to compute the values of
for Fe-Mn melts at 1863 K, which are illustrated in Figure 2 along with correlated experimental data [3]. A well agreement is observed. In the entire composition region,
to 0.9,
is negative with minimum values at
i.e.
(Theory) and −0.6221 (Experiment). The RMS error for
is found to be 0.00064238%. Therefore, the symmetry in
is successfully described by MIVM Model. It is notable that the minimum value of
for Fe-Mn melts at 1863 K computed by self-association model [13] is −0.615 at
. Thus, the present theoretical model provides more accurate result in comparison to that obtained by self-association model [13].
Figure 1.
vs
for Fe-Mn melts at 1863 K.
Figure 2.
vs
for Fe-Mn melts at 1863 K.
Figure 3. (
&
) vs
for Fe-Mn melts at 1863 K.
The activity coefficients
and
are determined from Equations (4) and (5) respectively in terms of concentration for Fe. The theoretical and experimental [3] data of
and
are in excellent agreement as shown in Figure 3.
The theoretical data of
and
are employed to calculate the concentration dependence of
and
respectively from equations (10a) and (10b) for Fe-Mn melts at 1863 K, which are presented in Figure 4.
Figure 4. (
&
) vs
for Fe-Mn melts at 1863 K.
A well harmony is noticed between theory and experiment [3]. The RMS error for
and
are 0.000252% and 0.000238% respectively. The positive deviations of
and
from ideal behaviour indicate the segregating nature of Fe-Mn melts at 1863 K. The agreement between theory and experimental data validates the estimated values of
and
.
3.2. Microscopic Properties i.e.
and
of Fe-Mn Molten
Melts at 1863 K
Expressions (14) and (15) are employed to compute the concentration dependence of
for Fe-Mn melts at 1863 K. The theoretical data of
are incorporated in Figure 5 along with
and experimental values [3].
A well uniformity is observed between the theory and experiment. The RMS error for
is found to be 0.000124%. It is noticed that
in the composition region,
to 0.9 and
exhibits ideal behaviour of Fe-Mn melts at 1863 K in the region
and
. The similar behaviour of Fe-Mn melts is observed in the region
and
[13]. Thus, the present theoretical investigation confirms the segregating character of Fe-Mn melt at 1863 K. The maximum values of
are at
i.e.
(Theory) and 0.291 (Experiment). The theoretical values of
for Fe-Mn melts at 1863 K available in the literature [13] exhibit some discrepancies with the experimental data in the region
. This indicates that the present theoretical model provides comparatively better results in comparison to the data available in the literature [13].
![]()
Figure 5.
vs
for Fe-Mn melts at 1863 K.
Equation (18) is used to achieve the concentration dependent values of
for Fe-Mn melts at 1863 K on using
. The theoretical data of
in terms of the concentration of Fe are presented in Figure 6. In the whole of composition i.e.
to 0.9,
is positive at each composition and having maximum value of 0.0148 at
, which confirms the segregation in Fe-Mn melts at 1863 K. It is necessary to state that the present theoretical investigation suggests the symmetric behaviour of Fe-Mn melts at 1863 K which differs with the theoretical data of
suggested by Ogundenji et al. [13] on using self-association model.
Figure 6.
vs
for Fe-Mn melts at 1863 K.
3.3.
,
,
,
,
,
,
and
of
Fe-Mn Melts at Different Temperatures
The concentration and temperature dependence of
,
,
and
for Fe-Mn melts have been analysed by MIVM model. The necessary input parameters determined at 1763 K, 1863 K 1963 K and 2063 K are presented in Table 1 and Table 2. The values of pair potential parameters
and
are determined at 1763 K, 1863 K, 1963 K and 2063 K on using the following equations [16]
(22)
and
(23)
where, T0 = 1863 K and T K = required temperatures.
The values of
and
determined at different temperature, are included in Table 2.
Now, Equation (1) is utilised to determine the concentration dependence of
at 1763 K, 1863 K, 1963 K and 2063 K for Fe-Mn melts. The theoretical data of
as a function of composition of Fe are illustrated in Figure 7. The theoretical and experimental data of
for Fe-Mn melts at 1863 K are also presented in Figure 7. It is found that the values of
decline on raising the temperature from 1763 K to 2063 K. However, the position of maxima remains same i.e. at
i.e.
, 0.0710, 0.0657 and 0.0614 at 1763 K, 1863 K, 1963 K and 2063 K respectively. This signifies the degradation of the segregating behaviour of Fe-Mn melts when the temperature rises from 1763 K to 2063 K.
Equations (1) and (13) are utilized to compute
at 1763 K, 1963 K and 2063 K for Fe-Mn melts. The theoretical data of
for Fe-Mn melts at 1863 K are shown in Figure 8 along with the theoretical and experimental data [3]. Obviously, the negative value of
increases with the increase in temperature from 1763 K to 2063 K, Nevertheless, the change in
is small in comparison to the rise in temperature and the position of minima remains same i.e.
. The values of
are minimum i.e. −0.6169, −0.6221, −0.6274 and −0.6317 respectively at 1763 K, 1863 K 1963 K and 2063 K. This shows the declination in the segregating behaviour of Fe-Mn melts with the rise in temperature.
Figure 7.
vs
for Fe-Mn melts at 1763 K, 1863 K, 1963 K and 2063 K.
Figure 8.
vs
for Fe-Mn melts at 1763 K, 1863 K, 1963 K and 2063 K.
The concentration and temperature dependency of Fe-Mn melts have been analysed in terms of
and
. The Equations (10a) and (10b) are employed to compute
and
as a function of the composition of Fe at 1763 K, 1963 K and 2063 K. The theoretical data of
and
at 1763 K, 1863 K, 1963 K and 2063 K are depicted in Figure 9. Obviously,
and
exhibit positive deviations from linear law at each temperature under consideration. However, the deviations of
and
from linearity are found to be slightly decreased with the rise in temperature from 1763 - 2063 K. This indicates the lowering of the segregation in Fe-Mn melts due to rise in temperature from 1763 K to 2063 K.
Figure 9. (
&
) vs
for Fe-Mn melts at 1763 K, 1863 K, 1963 K and 2063 K.
The theoretical values of
for Fe-Mn melts at 1763 K, 1963 K and 2063 K are ascertained from Equations (14) and (15) which are depicted in Figure 10 along with
. For comparison, the experimental values of
at 1863 K are also included in Figure 10. It is clear that
at each composition in full concentration range i.e.
to 0.90 at each temperature under consideration. However, the values of
decrease due to elevation of temperature from 1763 K to 2063 K. This illustrates the decreasing behaviour of segregation in Fe-Mn alloys in the temperature range, 1763 - 2063 K. Further the symmetry in
is maintained in the temperature region 1763 - 2063 K because the
is maximum at
i.e. 0.295, 0.293, 0.288 and 0.286 at 1763 K, 1863 K 1963 and 2063 K.
Figure 10.
vs
for Fe-Mn melts at 1763 K, 1863 K, 1963 K and 2063 K.
The concentration dependence of the excess stability function,
for Fe-Mn alloys at 1763 K, 1863 K 1963 and 2063 K determined from Equation (19) are illustrated in Figure 11. Obviously,
is negative at each composition of Fe in the concentration region
to 0.90 at each temperature under consideration. Nevertheless, the negative magnitude of
degrades due to rise in temperature from 1763 K to 2063 K. This is a sign of decrease in the segregation of Fe-Mn melts from 1763 K to 2063 K.
Figure 11.
vs
for Fe-Mn melts at 1763 K, 1863 K, 1963 K and 2063 K.
Figure 12 exhibits the concertation and temperature dependence of
for Fe-Mn melts determined from Equation (18). At each concentration,
is positive at each temperature under consideration and its magnitude decreases with the rise in temperature in the region 1763 - 2063 K which shows the lowering in segregation of Fe-Mn alloys in the temperature range 1763 K to 2063 K. Again, the magnitude of
is small which illustrates that Fe-Mn melts are a weakly segregating system in the temperature range 1763 - 2063 K.
The diffusivity ratio,
as a function of the composition of Fe for Fe-Mn melts at 1763 K, 1863 K, 1963 K and 2063 K are calculated from Equation (20) and the theoretical values of
are depicted in Figure 13. It is noticed that diffusivity ratio,
in the region
and has minimum values of 0.8434, 0.8543, 0.8654 and 0.8744 respectively at 1763 K, 1863 K, 1963 K and 2063 K around the equiatomic composition,
for Fe-Mn melts. Again, due to rise in temperature from 1763 K to 2063 K, the values of
increase at each concentration which is a sign of degradation in the segregating behaviour of Fe-Mn melts due to elevation of temperature from 1763 K to 2063 K. Therefore, the present theoretical investigation suggests that the probability of phase separation is maximum at
which is also suggested by Ogundenji et al. [13].
Figure 12.
vs
for Fe-Mn melts at 1763 K, 1863 K, 1963 K and 2063 K.
Figure 13.
vs
for Fe-Mn melts at 1763 K, 1863 K, 1963 K and 2063 K.
4. Conclusion
The present theoretical study successfully explores the mixing behaviour of Fe-Mn melts in terms of the composition of Fe at 1763 K, 1863 K, 1963 K and 2063 K in which the results for
,
,
,
,
,
and
at 1863 K are validated from experimental results while the results for
,
and
at 1863 K are the theoretical predictions for Fe-Mn melts. Again, the results for the aforesaid properties of Fe-Mn melts at 1763, 1963 and 2063 K are model predictions extrapolated from the results at 1863 K. Therefore, the results suggest that Fe-Mn melt is a feebly segregating system in the temperature region 1763 - 2063 K, i.e. similar atoms (Fe-Fe or Mn-Mn) associate together as the closest neighbour. Further, the concentration and temperature reliance of the properties like
,
,
,
,
and
exhibits the symmetric behaviour of Fe-Mn melts about equiatomic composition,
in the temperature region 1763 - 2063 K. Thus MIVM model is found to be a reliable model.
Author Contributions
Conceptualization, I. S. Jha and J. Mandal; methodology, N. K. Roy; validation, I. S. Jha, J. Mandal and N. Vrind; formal analysis, R. Prabhu; investigation, S. K. Bhagat; writing original draft preparation, N. Vrind; writing-review and editing, N. K. Roy; visualization, I. S. Jha; supervision, J. Mandal. All authors have read and agreed to published version of the manuscript.