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Effect of Ferromagnetic Induced Inhomogeneity in Excess Conductivity of YBa<sub>2</sub>Cu<sub>3</sub>O<sub>7-d+x</sub> CoFe<sub>2</sub>O<sub>4</sub> Composite
ISSN: 2169-0022
Journal of Material Sciences & Engineering
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Effect of Ferromagnetic Induced Inhomogeneity in Excess Conductivity of YBa2Cu3O7-d+x CoFe2O4 Composite

Sahoo M* and Behera D

Department of Physics, National Institute of Technology, Rourkela 769008, India

*Corresponding Author:
Sahoo M
Department of Physics
National Institute of Technology
Rourkela 769008, India
Tel: +916612462724
Fax: +916612462999
E-mail: [email protected]

Received Date: October 02, 2012; Accepted Date: October 23, 2012; Published Date: October 30, 2012

Citation: Sahoo M, Behera D (2012) Effect of Ferromagnetic Induced Inhomogeneity in Excess Conductivity of YBa2Cu3O7-d+x CoFe2O4 Composite. J Material Sci Eng 1:115. doi: 10.4172/2169-0022.1000115

Copyright: © 2012 Sahoo M, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Abstract

Dimensional fluctuations of superconducting order parameters in YBa2Cu3O7- δ+ x CoFe2O4 (x = 0.0, 0.1, 0.2, and 0.3 wt%) has been analyzed. SEM micro-graphs reveal the reduced grain size with the incorporation of ferromagnetic CoFe2O4 particles in the YBCO matrix. With the increase of CoFe2O4 wt% it is found that the superconducting transition temperatures (Tc) determined from standard four-probe method decreases and dropped sharply with higher wt.% addition of CoFe2O4. Excess conductivity fluctuation analysis using Aslamazov-Larkin (AL) model fitting reveals transition of two dominant regions (2D and 3D) above Tc. 2D to 3D crossover temperature i.e. Lawerence-Doniach temperature (TLD) that demarcates dimensional nature of fluctuation inside the grains is influenced by CoFe2O4 incorporation in YBCO matrix. The decrease in TLD in the mean field region has been observed as a consequent dominance of 3D region with increase in wt% of CoFe2O4 in the composite. The decrease in zero-resistance critical temperature (Tc0) and increase in transition width (ΔT) signifies the degradation of inter-grain weak links.

Keywords

YBCO; Ferromagnetic CoFe2O4; Excess conductivity; AL model; Current percolation

Introduction

The study of thermodynamic fluctuation is distinctly marked in the mixed state of type II superconductors after the discovery of High Temperature Superconductors (HTSC) in 1986. The effects of thermodynamic fluctuations in HTSC are prominently well above the mean field transition temperature (Tc) [1] due to their short coherence length, high transition temperature and high anisotropy property of the material. The study of the transport properties especially in the region of Tc is a tool for studying the characteristics of the superconducting phase. Among those of interest is the excess conductivity or para-conductivity above Tc. This conductivity is related to the thermodynamical fluctuations due to the presence of thermal fluctuations of cooper pairs above Tc [2]. The chosen material YBa2Cu3O7-δ has several advantages over other ceramic superconductors. This is the most stable compound with a Tc above 77 K. It has neither toxic nor volatile elements. It is easy to make single-phase of YBCO and less anisotropic than other HTS materials. It posses high Jc at higher magnetic field than other HTSC, YBCO is one of the materials being considered as potential candidates for applications such as microwave devices, power transmission tape, and delay lines. This is the most useful material for conductor applications because of its high irreversibility field. The capability to transport electric current without any energetic dissipation, together its low thermal conductivity, suggest the application of HTSC for high current transport to low temperature SC devices such as magnets [3]. It is also used in fault current limiters which operate at 77K, maglev trains, SQUIDS and in computers [4]. Among the different models proposed to explain the fluctuation effects, the most appreciated ones are that of Aslamazov and Larkin [5], Maki-Thompson (MT) and Lawrence- Doniach (LD) [6] for the two-dimensional layered superconductors. Several models [7,8] have been proposed to describe the complete shape of resistive transition in the presence of magnetic fields.

Superconductor composite materials have significantly improved electrical and magnetic properties. The generated defects such as twins and inhomogeneous micro-defects can act as additional pinning centers, resulting in an increase of the critical current density at higher magnetic fields [9-12]. The artificial pinning centers besides the above defects-induced pinning centers are more efficient to enhance current density. The composite decreases the number of weak-links and significant enhancement of the superconducting critical current density Jc in applied magnetic field has been reported [13]. The practical introduction of effective flux pinning sites into HTSC is of paramount importance for their widespread application. The search for suitable process for the generation of nanoscale defects to act as core pinning sites in the superconductor matrix has been highly fruitful, yielding improvements in the critical current density [4]. Flux pinning by magnetic materials may be expected to provide an additional contribution to the pinning potential through the magnetic interaction between the material and the flux vortices, supplementing the core pinning that results from the inclusion of non-superconducting material within the superconducting matrix. Till now, attempts have been made with Fe, Co and Ni, as well as with simple metal oxides such as Fe2O3 [14] but all have resulted in a detrimental effect on the superconducting properties through cross-contamination into the YBCO matrix and a subsequent suppression of Tc. In this paper attempts have been made to analyze the effect of ferromagnetic inclusions to YBCO matrix on structural and electrical transport properties around the transition temperature.

Experimental

YBa2Cu3O7-δ superconductor powder was synthesized from precursor powders of Y2O3, BaCO3, and CuO. A stoichiometric amount of the cationic ratio of Y: Ba: Cu = 1:2:3 was stirred in 2-Methyl ethanol and mixed well for 12 hrs. This solution was dried and evaporated at 70- 80°C until well mixed powders were obtained. Then, the powders were ground for 2 hrs, and calcined at 900°C for 12 hrs. The pellets were made from the calcined powders, sintered at 920°C for 12 hours and annealed at 500°C for eight hours for oxygen uptake. A series of polycrystalline composite samples of (1-x)YBCO+x CoFe2O4 (where x= 0.0, 0.1, 0.2, 0.3 wt%) were ground and pressed into pellets. The composite pellets were sintered at 920°C for 12 hours and then cooled to 500°C where they were kept for five hours in an oxygen atmosphere for oxygen intake. XRD and SEM characterization was done for structural and micro structural analysis. Temperature dependent resistivity ρ(T) was measured using standard four-probe technique with a Nanovoltmeter (Keithley-2182A) and constant current source (Keithley 6221), with the voltage resolution of 10-8V of the Nanovoltmeter, a constant current source of one mA flowing through the samples. A closed cycle Helium refrigerators (JANIS) and a temperature controller (Lakeshore 332) having a temperature resolution of ±0.1 K were used for temperature variation. Computer controlled data acquisition system was used with Lab view program.

Results and Discussion

XRD analysis

Figure 1 shows the X-ray diffraction patterns of the YBa2Cu3O7-δ / x CoFe2O4 composite samples. The diffraction pattern of the composite samples is indexed using Chek Cell software and the results are found to be in orthorhombic phase with a space group Pmmm, with some CoFe2O4 peaks and without any noticeable impurity peaks. The presence of (311), (400), (422) peaks of CFO in 0.1wt.% and (333), (440) peaks of CFO in 0.2 wt% in the 2θ range of 35.51°-62.65° give an evidence for the formation of CFO crystallites within the pristine YBCO sample. The Intensity at (010), (005) and (020) planes of YBCO increases gradually with an increase in wt% of CFO, which signifies that more no. of diffraction are coming from these planes.

material-sciences-engineering-patterns

Figure 1: XRD Patterns of YBCO, CoFe2O4, and YBCO+xCoFe2O4 Samples (x = 0.0,0.1,0.2,0.3 wt.% ) marked as a ,b and c respectively.

From the table 1 data it is clear that there is no significant change in ‘b’ parameter except 0.1 wt% added sample. The length of ‘a’ parameter is greater in the composite samples as compared to that of pure samples except for 0.1 wt% composite. The similar case was also happening in the case of ‘c’ parameter and for the volume of the crystallites. This elongation is expected due to the strain effect i.e. the non-uniform elastic distortions of the crystal lattice at the atomic level imposed by the magnetic inhomogeneity on YBCO matrix. The orthorhombic distortion remains almost constant in all the samples except 0.1 wt% added sample. It is highest for this sample. This value is more means oxygen ordering more. Superconductivity of YBCO is associated not only with the oxygen content but also with the ordering of the oxygen atoms and oxygen vacancies in the Cu-O basal plane. The complete ordering is reflected in rows of empty O(5) and filled oxygen sites O(1). This asymmetric distribution of oxygen leads to an orthorhombic distortion (b-a/b+a), that is a measure of ordering. The big difference between b and a corresponds to the higher ordering degree [15]. It can also be seen that the lattice parameter c is smaller for the sample with higher ordering. The smaller c value could be responsible for a better interlayer exchange and consequently, could give better superconducting properties [16]. The oxygen stoichiometry value is calculated from the relation 7-δ=75.250-5.856c, where c is the c-axis lattice parameter [17]. Oxygen value is more in 0.1 wt% sample where the orthorhombic distortion more.

CFO(wt%) a (A0) b (A0) c (A0) V(A03) δ= b-a /b+a    O7-δ
0.0 3.815(1) 3.882(1) 11.683(2) 173.023    0.008 6.8
0.1 3.800(2) 3.871(2) 11.655(3) 171.442     0.009 6.9
0.2 3.821(1) 3.888(2) 11.698(3) 173.786    0.008 6.7
0.3 3.820(1) 3.885(1) 11.673(3) 173.235    0.008 6.8

Table 1: Parameters calculated from XRD graphs.

Microstructural and EDX analysis

The micro-structure characterization i.e. grain size distribution of the composites is shown in figure 2. From SEM images it is observed that both YBCO and CoFe2O4 exhibits randomly oriented grains. With the ferromagnetic CoFe2O4 addition, two changes on the micro-structure have been observed. Firstly, the grain becomes elongated and size gradually reduced. Decrease in grain size indicates that the strength and hardness of the sample increase gradually. Secondly, CoFe2O4 particles are observed sticking to the surface filling up cracks and voids, which is evident from figure 2 (c,e). Extra deposition of CoFe2O4 is observed between grains for 0.3 wt. % (Figure 2e) which may be accounted to excess addition of CoFe2O4. White patches of CoFe2O4 are also observed in figure 2e. However, in granular HTSCs in the superconducting state (below Tc), transport properties are mainly controlled by the grain boundary micro-structure, unlike Tc, which is determined by the crystal structure and oxygen content [18]. The EDX graphs show all the compositional elements in proper stothiometric amount.

material-sciences-engineering-micrographs

Figure 2: SEM micrographs of pristine YBCO, CoFe2O4 and YBCO+xCoFe2O4 composites (x = 0.1,0.2,0.3 wt%) marked as a,b,c,d and e respectively and EDX graphs of YBCO and 0.3wt% added CoFe2O4 samples marked as f and g.

Temperature dependence of resistivity analysis

Measurements of the resistivity dependence of temperature for different samples with various amounts of CoFe2O4 are shown in figure 3. The resistive transition exhibits two different regimes. The first is characterized by the normal state that shows a metallic behavior (above 2Tc i.e dρ/dT>0). The normal state resistivity follows Anderson and Zou relation ρn (T)=A+BT. Where ρn(T) is calculated by using the values of A and B parameters, which are obtained from the linear fitting of resistivity in the temperature range 2Tc to 300 K and extrapolated to 0 K gives resistivity slope (dρ/dT) and residual resistivity ρ0 respectivily (Figure 3).

material-sciences-engineering-dependences

Figure 3: Resistivity dependences on the temperature for YBCO and YBCO+ x CoFe2O4 (x=0.1, 0.2, 0.3 wt%) composites.

The second is the region characterized by the contribution of Cooper pairs fluctuation to the conductivity below Tc, where ρ(T) is deviating from linearity. This is mainly due to the increasing rate of cooper pair formation on decreasing the temperature. Therefore, the fluctuation induced conductivity in this region follows the AL model to yield the dimensional exponent appropriately to fluctuation-induced conductivity. The normal state resistivity of the composite samples is higher than that of pure sample which is tabulated in table 2. At the temperature value Tc0 the electrical resistivity vanishes and the phase of the order parameter acquired long range order between the grains of the system. This critical temperature signifies the coherence transition. A finite tailing is observed in the superconducting transition for all the YBCO+ x CoFe2O4 composites before the resistance attains zero value. It indicates that the superconducting grains get progressively coupled to each other by Josephson tunneling across the grain boundary weak links. The zero-resistance at the temperature Tc0, characterizes the onset of global superconductivity (where all the grains becomes superconducting i.e intragrain as well as grain boundaries becomes superconducting) in the samples where the long range superconducting order is achieved. The onset of global resistivity decreases with addition of CFO indicating that it adheres to grain boundary forming weak links.

The absolute resistivity in the normal state may strongly depend on porosity and grain boundaries scattering. It can be seen from figure 3 that there is a decrease of Tc upon the increase of CoFe2O4. The depression of Tc with CoFe2O4 addition may be either due to a decrease in oxygen content in the CuO chains [19] or due to trapping of mobile holes or some mechanism connected with oxygen vacancy disorder [20,21]. The decrease in Tc by further addition of CoFe2O4 may be caused by over doping of these particles in the YBCO system, and thus a pair-breaking mechanism may occur at a certain doping level. In this regard, small amount of submicron-sized particle addition improved flux pinning by creating effective pinning centers, while excessive doping retarded the superconductivity of the YBCO system.

The percolation factor ‘αn’ (Table 2) arising due to current frustration caused by misalignment of anisotropic grains and sample defects such as voids and cracks are estimated from the temperature coefficient of resistivity dρ/dT. This factor contributes to percolative conduction in granular copper oxides. Generally in the normal state electrical conduction of granular samples, current path frustration and meandering of current may occur due to two mechanisms. One is associated with the orientational disorder of anisotropic grains [22]. It depends on the degree of texturization, and has its origin in the extreme anisotropy of the copper oxides, the in-plane resistivity ρab being orders of magnitude less than the out of plane resistivity ρc [23]. Due to the extreme conduction anisotropy, current blocks along the pathways with misaligned grains and current percolates through the sample along unobstructed paths, which results in a cross section reduction and path lengthening [24] that increases resistivity by a multiplicative factor, denote as 1/f (0<f≤1). Another source of resistivity enhancement comes from structural defects of the grains (i.e. pores, isolating boundaries, microcracks etc.) denoted as 1/αstr (0< αstr ≤1). Besides the percolative processes, a contribution to resistivity coming from the intergrading barriers ρwl is to be added. So the observed resistivity can be written as,

Equation(1)

Where αn is a shorthand for

Equation(2)

and it may be referred to as the normal-state percolative factor. The normal-state resistivity of polycrystalline HTS is linear with temperature. This linearity of ρn enables determination of the two sample parameters αn and ρwl. Taking temperature derivatives of equation (1) and assuming ρwl constant we can get [25,26]

Equation(3)

where the primes stand for temperature derivatives.

Similarly from Eqs. (1) and (3)

Equation (4)

Where ρn(0) is the extrapolation of the normal state resistivity to zero temperature. Based on single crystal measurements ρab is assumed [27] to vary linearly with temperature (ρ׀ab=0.5 μΩ.cm.K-1) with a negligible zero-temperature intercept. For typical polycrystalline Y-based HTS αn is in the range 0.2–0.05 (Table 2). The main difference between percolation in the normal state and in paracoherent state is that in the latter the orientational disorder is irrelevant as the grain resistivity becomes vanishingly small both in the ab plane and the c direction, resulting in the loss of anisotropy. Once bulk grains go superconducting (but the intergrading junctions remain normal) nothing hinders conduction along that path. Only the structural quality factor αstr and the intergrain resistivity ρwl enter the paracoherent resistivity ρp

CFO(wt%) TC0(K) TC(K) ∆T(K) ρn(0) (µ’Ω.cm)   αn ρwl
(µ’Ω.cm)  
ρp
( µ’Ω.cm)  
αstr.
0.0 82.95     85.16     2.21      2090 0.02 41.8 696.66 0.06
0.1 77.27     81.80     4.53      3740 0.07 261.8 1246.66 0.21
0.2 77.41     81.57     4.16      3990 0.03 119.7 1330 0.09
0.3 58.45     64.23     5.78       4500 0.18 810 1500 0.54

Table 2: Variation of normal state and superconducting parameters in the Composites with different CoFe2O4 wt%.

Equation (5)

From equation (2) and (4)

Equation (6)

The relation should be ρn(0)>ρpwl (Table 2). For YBCO, ρp should be equal to approximately one-third of the normal-state resistivity extrapolated to zero temperature [28]. The increasing value of ρn(0) and the decreasing trend in the value of zero-resistance critical temperature (Tc0) indicates that the connectivity between grains decreases gradually with the addition of composite. All these effects are due to increased inhomogeneities in the intergranular regions. Point defects and chemical dopants may occupy various positions in a real crystal forming substituent or interstitial impurities. Because of the grain boundary is a structurally distorted region in crystals, an extra energy form in the grain boundary region due to the distortion. As a result of the existence of grain boundary energy as well as the Coulomb interaction between the boundaries and the impurity atoms, they tend to attract impurity atoms in order to decrease the grain boundary energy. Therefore, the chemical dopant has a higher probability to stay in the grain boundary region than to stay inside the crystal.

Figure 4 shows the magnetization dependence on the temperature of YBCO+ x CoFe2O4 (x=0.0, 0.1, 0.2 wt%) samples. From the M-T graph it is clear that at a mean field transition temperature (Tc) the magnetic lines of force start expelling out of the superconducting specimen. At Tc0 value they are completely expels out from the sample. This signifies that all the samples show diamagnetic property i.e. satisfying Meissner effect. The magnetization measurement at various temperatures with a field of 500 Gauss showed the compound to be bulk superconducting at 92 K.

material-sciences-engineering-temperature

Figure 4: Magnetisation dependences on the temperature of YBCO+ x CoFe2O4 (x=0.0, 0.1 & 0.2 wt%).

Excess conductivity Study

Theoretical background: The Aslamazov-Larkin theory provides the following expression for the excess-conductivity above Tc generated by the thermodynamic fluctuations [5]. It is assumed that the fluctuation conductivity Δσ diverges as a power-law given by

Equation (7)

Δσ is defined by

Equation (8)

Where ρ and ρR are the measured and normal resistivity, σ(T) is the measured conductivity and σR (T) is the extrapolated conductivity under the assumption of a linear behavior of temperature dependent resistivity. The reduced temperature ε=(T-Tc)/Tc, defined with respect to the mean field critical temperature (Tc) of the normal to superconducting transition. λ is the Gaussian critical exponent depending on the dimensionality of the HTSC system. The dimensionality D of the fluctuation system is related through the expression,

Equation (9)

The effective value of the critical exponent for 3D and 2D are λ=-0.5 and λ=-1 respectively [29]. A is a temperature dependent parameter and its values for 3D and 2D are A=e2/32ћξ(0) and e2/16ћd respectively. ‘ξ (0)’ is the zero-temperature coherence length or GL correlation length and ‘d’ is the effective separation of CuO2 layers. These relations are based on GL theory and are valid only for the mean field temperature region (1.01Tc to 1.1Tc). Lawrence and Doniach (LD) extended the AL model for layer superconductors, where conduction occurs mainly in 2D CuO2 planes and these planes are coupled by Josephson tunneling table 3. The excess conductivity parallel to the layers in the LD Model is given by

CoFe2O4(wt.%) TG(K) TLD(K) T2D-SW(K)
0.0 104.14 128.08 148.63
0.1 104.01 125.45 138.55
0.2 103.24 115.67 127.55
0.3 90.14 104.71 113.95

Table 3: CoFe2O4 content dependence of different cross over temperatures (Ginzburg-Landau, Lawrence–Doniach and Shortwave fluctuation).

Equation (10)

From equation (10) at temperature close to Tc, 2ξ(0)/d >>1 and Δσ(T) diverges as ε-1/2 which corresponds to 3D behavior. Whereas at T >>Tc, 2ξ(0)/d <<1 and Δσ(T) diverges as ε-1 which corresponds to 2D behaviour.

Figure 5 displays the logarithmic plot of excess conductivity as a function of reduced temperature (ε). Different regions of the log-log plot were linearly fitted and the exponent values were determined from the slopes to correlate the experimental data with theoretical predicted ones. The plot reveals three distinct regimes i.e. mean-field region or the Gaussian fluctuations, critical fluctuations and short wave fluctuation region.

material-sciences-engineering-conductivity

Figure 5: Log–Log plot of excess conductivity 1/ρ − 1/ρR as a function of reduced Temperature € = (T-Tc) /Tc in (1-x) YBCO+ x CoFe2O4 composite.

Gaussian fluctuations: In the mean-field region we represent two fits, one with slope value λ=1. 0 and the other with the value λ = 0.5. The different exponents corresponding to crossover temperatures are as follows, the first exponent is in the normal region at log ε (−0.6≥logε≥−1) and its values are close to 1, which indicate that the Order Parameter Dimensionalities (OPD) are two dimensional (2D). The second exponent is in the critical field region at log ε (−1≥logε≥−2) and its values are close to 0.5, which signifies that the OPD are three dimensional (3D). 3D and 2D behavior of superconducting order parameter fluctuation dominates in YBCO composite. The temperature at which dimensionality fluctuation occurs from 3D to 2D is denoted by TLD. TLD values are higher than the Tc values. It reveals that the thermodynamically activated Cooper pairs are generated within the grain at comparatively higher temperatures but due to the intragranular disturbances the mean field critical temperature comes down to lower value. It is possible to infer that this 3D Gaussian regime, determines the spatial limit for the obtainment of long range order of the superconductivity in the material bulk [30]. When the temperature is diminished near Tc, first superconductivity is established in the CuO2 planes, as a 2D regime, and crosses up to a well defined 3D regime [2].

Critical fluctuations: In superconducting grains Josephson coupling occurs between them. In the absence of magnetic field, their interaction is two dimensional. Considering the Drude like formula for excess conductivity and dynamical scaling theory for coherence length, the critical exponent of excess conductivity is obtained [31,32]

Equation (11)

Where z is the dynamical exponent, η is the exponent of the order parameter correlation function, D is the dimensionality of the fluctuations and ν is the critical exponent for the coherence length. Using this relation for the fluctuation conductivity data in the critical region, one can estimate the dynamical exponent z [33]. According to renormalization group calculations, ν=0.67 and η=0.03 are expected and z=0.32 being predicted by the theory of dynamical critical scaling [34]. Using this values with D=3 yields λcr=0.33 which is called as the 3D-XY-E because of the model-E dynamics [35]. The critical fluctuation and 3D fluctuation regions intersect at temperature TG. Still closer to TG, a critical scaling regime beyond 3D-XY is observed, labeled by the exponent λcr=0.16 [36-38]. The regime beyond 3D-XY with λcr=0.17 was first observed in YBCO single crystal [39]. This exponent is known to characterize the critical resistive transition in classical granular arrays formed by metallic superconducting particles embedded in a poorly conducting matrix.

Shortwave Fluctuations

The excess conductivity varies sharply with exponent λ=3 with log ε (−0.5≥log ε≥−0.1) which highlights the presence of short wave fluctuations. The crossover temperature from 2D to short wave fluctuations (T2D-SW) is indicated in table 1. Short-wavelength fluctuations (SWF) effect appears when the characteristic wavelength of the order parameter becomes of the order of coherence lengthn [40].

From the data of table 1 it is clear that with an increase in wt% of CoFe2O4 in YBCO the mean field transition temperature Tc and Tc0 decreases gradually. The different crossover temperatures TG, TLD and T2D-SW also decrease with an increase in wt%. The transition width ΔT=Tc-Tc0 increases with increasing CoFe2O4 content.

Conclusion

The effect of ferromagnetic inhomogeneity of CoFe2O4 on the structural and fluctuation conductivity is systematically studied. The different regions observed are the critical region at T<Tc, the mean field region at T close to Tc and the short wave fluctuations at T>Tc. The experimental data fit with theoretical predicted ones. Decrease in TLD in the composite, indicates the dominating nature of fluctuation of cooper pairs in 3D.The large Tc degradation may be due to the redistribution of charges in the superconducting system due to oxygen content, and the resistance of the weak link caused by inhomogeneities. Variation of lattice parameters and crystallite volume indicates the incorporation of iron into the superconducting grains. The ferromagnetic inclusion reduces the grain size and increase the strength and hardness of the parent compound.

Acknowledgements

The authors gratefully acknowledge the Department of Science and Technology, Govt. of India for providing fellowship to carry out this work. The authors would like to thank Dr. A. Mitra, National Metallurgical Laboratory, Jamshedpur, for providing facility for M-T measurement.

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