Effect of strontium deficiency on the structural, magnetic and magnetocaloric properties of La0.65Eu0.05Sr0.3−xMnO3 (0 ≤ x ≤ 0.15) perovskites

Ridha Bellouz*a, Marwène Oumezzinea, Aziz Diniab, Guy Schmerberb, El-Kebir Hlilc and Mohamed Oumezzinea
aLaboratoire de Physico-chimie des Matériaux, Département de Physique, Faculté des Sciences de Monastir, Université de Monastir, Monastir 5019, Tunisia. E-mail: bel_ridhafsm@yahoo.co.uk
bInstitut de Physique et Chimie des Matériaux de Strasbourg (IPCMS), UMR 7504 CNRS-Université de Strasbourg, 23 rue du Lœss, B.P. 43, 67034 Strasbourg Cedex 2, France
cInstitut Néel, CNRS–Université Joseph Fourier, B.P. 166, 38042 Grenoble, France

Received 15th June 2015 , Accepted 23rd July 2015

First published on 23rd July 2015


Abstract

We have investigated the effect of nominal strontium deficiency on the structure, magnetic and magnetocaloric properties of La0.65Eu0.05Sr0.3−xMnO3 (x = 0, 0.10 and 0.15) perovskites. The nanocrystalline samples were prepared by the sol–gel-based Pechini method. Rietveld refinement of the X-ray diffraction patterns, shows the formation of single-phase compositions with rhombohedral symmetry (space group R[3 with combining macron]c, no. 167). Raman spectra at room temperature reveal a gradual change in phonon modes with increasing nominal strontium deficiency. All the samples undergo paramagnetic–ferromagnetic (PM–FM) transition. The Curie temperature decreases linearly with increasing x and changes from 355 K for x = 0 to 280 K for x = 0.15. Arrott plot analyses and a universal curve method were applied for studying the order of the magnetic transition in this system, found to be of second order. As strontium deficiency content increased further, peak entropy values were seen to decline. However, a simultaneous broadening of the ΔSmaxM peaks led to enhanced relative cooling power (RCP) in the Sr-deficiency samples of up to 22% over that of La0.65Eu0.05Sr0.3MnO3. La0.65Eu0.05Sr0.15MnO3 exhibits the largest RCP value of 283 J kg−1 at 280 K among the compounds investigated up to 5 T applied field. Through these results, La0.65Eu0.05Sr0.3−xMnO3 materials are strongly suggested for use as active refrigerants for magnetic refrigeration technology near and above room temperature.


1. Introduction

The perovskite manganites of R1−xAxMnO3 (where R and A are trivalent rare earth and divalent alkaline earth ions, respectively) have been the subject of significant research interest because of their intriguing underlying physics showing marked colossal magnetoresistance (CMR) and magnetocaloric effects (MCE). From the applications perspective, interest in these materials arose initially from their potential applications in hard disks, magnetic sensors, spin-electronic devices, and magnetic refrigerants.1–4

The close relation between electrical transport and magnetism in these materials has been explained by many theories, such as double-exchange (DE) interaction,5 Jahn–Teller effect,6 and phase separation.7 In these manganite materials, the doping of the rare-earth results in a mixed Mn3+/Mn4+ valence and introduces mobile electrons leading to a quasi-metallic conductivity and the ferromagnetic ground state. Hence, the presence of mixed valence states of Mn ions in the doped manganites gives rise to the competing double exchange (DE) and super-exchange (SE) interactions.8,9 It modifies the Mn3+–O2−–Mn4+ network and in turn largely affects their magnetotransport properties as well as MCE.10–13

The manganites have additional advantages such as low cost, good chemical stability, easy preparation and more importantly the ability to tailor their magnetic transition temperatures close to room temperature by R-site or Mn-site substitution. One recent example of this chemical substitution for tuning TC in manganites is in the La0.7Sr0.3MnO3 (LSMO) system, which is a colossal magnetoresistive ferromagnetic manganite with Tc ∼ 370 K, and either by substitution of the La ion by the rare-earths Nd,14 Pr,15 Eu,16 or by substitution of Mn ions by other transition metal ions such as Cr, Fe, Zn, Ti, etc.17–20 On the other hand, the ceramic preparation route, such as the conventional solid-state reaction method, the sol–gel method and combustion thermal spray techniques were used to prepare rare-earth perovskite materials. The method of synthesis plays an important role on the quality and the magnetocaloric properties of materials.21 However, only few studies have been proposed to discuss the deficiency effect in manganites system. Deficiency in this system is recognized to lead to a change of Mn3+/Mn4+ ratio, thus, which can change the physical properties in manganites.22–25

In this paper, we report on the structure, magnetic and magnetocaloric properties of Sr deficient La0.65Eu0.05Sr0.3−xMnO3 manganite prepared by the sol–gel-based Pechini method. The experimental results reveal that the Curie temperature is adjusted to near room temperature and this is accompanied by an enhancement of the maximum magnetic entropy change. The phenomenological universal curve of the field dependence of the magnetic entropy ΔSM has been used to study the nature of magnetic phase transition in our materials.

2. Experimental details

Polycrystalline samples of La0.65Eu0.05Sr0.3−xMnO3 were prepared using the Pechini sol–gel method and a mixture of oxides and precursors, La(NO3)3·6H2O (Sigma-Aldrich, 99%), Sr(NO3)2 (Sigma-Aldrich, 99.99%), Eu(NO3)3·5H2O (Sigma-Aldrich, 99.9%) and Mn2O3 (Sigma-Aldrich, 99%). This method consisted in the preparation of metal nitrates that were added to a solution of citric acid (CA) (Sigma-Aldrich, 99%) and ethylene glycol (EG) (Sigma-Aldrich, ≥99%) to form a polymeric resin. However, the initial solution was prepared by mixing distilled water and the nitrates (properly weighed according to the specific composition), CA and EG. The resulting solution was heated by constant stirring at temperatures of 80 °C. After evaporation of water at 80–100 °C, the viscosity of the solution increases and further heating leads to the formation of polymeric resin.

The resin was pre-calcined (673 K for 3 h) to eliminate the organic material, ground and calcined again (973 K for 15 h) to eliminate the residual organic material. The obtained black powder was cold-pressed into pellets with diameter 13 mm and thickness of about 2–3 mm under a pressure of 5 Tons cm−2. After that, the powder was sintered at 1273 K for 12 hours in air. The morphological properties of the samples were investigated by scanning electron microscopy (SEM) using a JSM-6400 apparatus working at 20 kV. Energy dispersive X-ray analysis (EDAX) has been performed to determine the composition of the samples. The Mn4+/Mn3+ ratios as well as the oxygen content of the samples were determined by iodometric titration. Typically, about 100 mg of the sample was dissolved in 10 ml of 1[thin space (1/6-em)]:[thin space (1/6-em)]10 HCl containing about 1 g of solid KI. Liberated iodine was titrated against standard sodium thiosulfate (0.04 N) solution using starch as an indicator. The structural characterization was done through X-ray diffraction patterns (XRD) using a “Panalytical X'pert Pro” diffractometer with CuKα radiation (λ = 1.5406 Å). Raman spectra were collected at room temperature (300 K) with a Horiba LabRAM micro-Raman spectrometer (model HR 800). We have used one incident light of 632.8 nm focused on the sample with a ×50 microscope objective. Typical power densities on the samples' surface were not higher than 0.9 mW μm−2 in order to avoid over-heating and damaging of the powders. Five spectra were at least recorded on different zones for the same sample. Magnetic measurements were performed using a BS2 magnetometer at Louis Néel Laboratory at Grenoble, where we measured the magnetization versus applied magnetic field in a temperature range near TC.

3. Results and discussion

3.1. Structural properties

Fig. 1(a) shows the XRD patterns of La0.65Eu0.05Sr0.3−xMnO3 (0 ≤ x ≤ 0.15) powders. The diffraction peaks are narrow and intense in all XRD patterns, indicating that the studied samples are well crystallized. No impurity peaks are found within the experimental error. All diffraction peaks can be indexed in the rhombohedral distorted perovskite structure (space group R[3 with combining macron]c), in which the (La, Eu, Sr) atoms are at 6a (0, 0, 1/4) positions, Mn at 6b (0, 0, 0) and O at 18e (x, 0, 1/4). The structural parameters were determined by Rietveld refinement method. The data were first analyzed with a “whole pattern fitting” algorithm in order to determine accurately the profile shape function, background and the cell parameters. A typical example of the Rietveld refinement to the XRD data for La0.65Eu0.05Sr0.2MnO3 nanopowder is shown in Fig. 1(b). Detailed results of Rietveld refinement are listed in Table 1, where a and c are the hexagonal cell parameters, V is the unit cell volume, Biso is the isotropic thermal parameter and x is the oxygen position. The residuals for the weighted patterns Rwp, the pattern Rp, the structure factor RF and the goodness of fit χ2 are also reported in this table. The residuals for the weighted pattern Rwp (%) and the goodness of fit χ2 across the compositional series resulted below 3% and below 2%, respectively. One can see from Table 1 that the lattice parameters a, c and the volume V increase when 〈rA〉 decreases. The presence of a strontium deficiency in our samples induces an increase of the Mn4+content. Since the average ionic radius of Mn4+ (0.53 Å) is smaller than that of Mn3+ (0.65 Å),26 the increase of the unit cell volume with strontium-vacancies cannot be explained in terms of Mn4+ amount. It may rather be related to an average ionic radius 〈rA〉 of the A cation site with a vacancy radius 〈rV〉 larger than the radius of the Sr2+ cation.22 The Mn–O bond length and the Mn–O–Mn bond angles obtained from the Rietveld refinement are presented in Table 1. From the results of the average distances of Mn–O and the average angles of Mn–O–Mn, it is considered that each MnO6 octahedron has little distortion. These observations are consistent with the value of the Goldschmid tolerance factor t, defined as:
 
image file: c5ra11395d-t1.tif(1)
where rA, rB and rO are respectively the average ionic radii of A and B perovskite sites and of the oxygen anions. The tolerance factor is an important structural parameter, which reflects the local microscopic distortion from the ideal perovskite (ABO3) structure (t = 1), for which the B–O–B bond angle θ is equal to 180°.

image file: c5ra11395d-f1.tif
Fig. 1 (a) X-ray diffraction patterns of La0.65Eu0.05Sr0.3−xMnO3 (0 ≤ x ≤ 0.15) compounds at room temperature. (b). Rietveld refinement profile for x = 0.10 performed using FULLPROF. Open circles correspond to experimental data and the lines are fits. Vertical bars represent the Bragg reflections for the space group R[3 with combining macron]c. The difference pattern between the observed data and fits is shown at the bottom. The inset shows a zoom in the region between 2θ 34–64°.
Table 1 Detailed results of Rietveld refinement of La0.65Eu0.05Sr0.3−xMnO3 (x = 0, 0.10 and 0.15) samples at room temperature
Sample 0 0.10 0.15
Structure type Rhombohedral Rhombohedral Rhombohedral
Space group R[3 with combining macron]c R[3 with combining macron]c R[3 with combining macron]c
a (Å) 5.5130 (2) 5.5135 (3) 5.5266 (2)
c (Å) 13.3833 (1) 13.3844 (2) 13.3927 (1)
V3) 352.263 (3) 352.785 (1) 352.997 (2)
La/Eu/Sr Biso2) 0.55 0.79 0.82
Mn Biso2) 0.86 0.84 0.51
(O) Biso2) 1.22 (3) 1.20 (5) 1.19 (1)
x (O) 0.4785 (3) 0.4544 (3) 0.4473 (3)
dMn–O (Å) 1.952 (6) 1.958 (3) 1.961 (4)
θ(Mn–O–Mn) (°) 166.568 (7) 165.24 (6) 164.55 (2)
Rwp (%) 2.43 2.23 2.56
Rp (%) 1.78 1.69 2.63
RF (%) 2.65 2.39 2.15
χ2 (%) 1.89 1.93 1.74
Band width W (arb. u.) 0.09557 0.09441 0.09383
Curie temperature TC (K) 355 330 280
Tolerance factor t 0.9266 0.8914 0.8787
Grain size GS (nm) 84 91 97
Ratio Mn4+/Mn3+ 0.443 0.993 1.403
Oxygen content y 3.007 3.098 3.134


The surface morphology of the samples La0.65Eu0.05Sr0.3−xMnO3 (0 ≤ x ≤ 0.15) has been investigated using SEM. Fig. 2 presents the SEM micrographs of the sintered pellets and shows that the samples are constituted of strongly connected large grains, forming almost homogenous particles. The average crystallites sizes, determined by Rietveld refinement,19 are estimated to be between 84 and 97 nm (±2 nm). These values are close to those shown by SEM micrographs (the average particles size is ∼100 ± 10 nm). To analyse the composition of La0.65Eu0.05Sr0.3−xMnO3 (0 ≤ x ≤ 0.15) samples, energy dispersive X-ray analysis (EDAX) was used. The spectra illustrated in Fig. 3 show the elemental distribution in the samples. The results demonstrated that there is no unwanted element in the samples. This implies that the samples are not contaminated during the synthesis process. The results of the analysis are largely summarized in Table 2. If it is assumed that, La, Eu and Sr are present in all the samples in their respective stoichiometric ratio and Mn is present in a mixed valence state (Mn3+ and Mn4+), then the chemical formula of the compounds can be written as: La0.653+Eu0.053+Sr0.3−x2+Mn1−Δ3+MnΔ4+Oy (x = 0, 0.10 and 0.15). The value of Δ of the samples was determined by iodometric titration method.27 The average error of the Mn4+/Mn3+ ratio determination by iodometric was found to be ±0.03. The oxygen content, y, was calculated from the equation, image file: c5ra11395d-t2.tif. It is noticed that the Mn4+/Mn3+ ratio increases with increasing the strontium deficiency while the oxygen content is close to stoichiometry. We must mention that the oxygen stoichiometry is purely based on the mixed oxidation state of Mn and hence the amount of the strontium vacancies. The calculated values of the Mn4+/Mn3+ ratio (these values are average of many titrations) and oxygen content y are illustrated in Table 1.


image file: c5ra11395d-f2.tif
Fig. 2 SEM micrographs for La0.65Eu0.05Sr0.3−xMnO3 (x = 0, 0.10 and 0.15) samples.

image file: c5ra11395d-f3.tif
Fig. 3 EDAX images for La0.65Eu0.05Sr0.3−xMnO3 (x = 0, 0.10 and 0.15) compositions.
Table 2 Results of EDAX analysis
Composition Typical cationic composition from EDX Nominal composition
La Eu Sr Mn
x = 0 0.64(6) 0.05(3) 0.31(4) 1.06(2) La0.65Eu0.05Sr0.30MnO3
x = 0.10 0.63(8) 0.06(1) 0.21(2) 1.07(1) La0.65Eu0.05Sr0.20MnO3
x = 0.15 0.63(4) 0.06(1) 0.16(3) 1.09(1) La0.65Eu0.05Sr0.15MnO3


3.2. Raman spectroscopy

Raman scattering is a powerful tool for the characterization of material and is a qualitative probe of the presence of lattice defect in solids, such as structure transition, lattice distortion, cation distribution and magnetic ordering. The ideal cubic ABO3 perovskite structure does not possess Raman active phonons since all the five atoms of the unit cell occupy centrosymmetrical sites. The (i) mismatch of the ionic radii of the ions in the unit cell and the (ii) JT effect associated with the Mn3+ ions give origin to the orthorhombic (Pnma) and the rhombohedral (R[3 with combining macron]c) structures, both of them presenting Raman active phonons. According to the group theory, for R[3 with combining macron]c (D63d) rhombohedral structure, thirty vibrational degrees of freedom at the Γ point are distributed among the irreducible representation as:
Γ(D63d) = 2A1u + 3A2g + A1g + 4A2u + 4Eg + 6Eu
where only five (A1g + 4Eg) modes are Raman active, (3A2u + 4Eu) are IR active modes and the remaining 2A1u + 3A2g are silent modes. The classifications of Raman active modes are 1A1g + 1Eg as rotational or tilt modes; 1Eg bending and 1Eg antistretching of the MnO6 octahedra and the remaining Eg is related to a vibration of A ions.28,29

The Raman spectra of La0.65Eu0.05Sr0.3−xMnO3 (x = 0, 0.10, 0.15) samples at room temperature in the frequency range of 200–900 cm−1 is shown in Fig. 4. The spectrum presents four peaks located at 310 (A1g), 369 (Eg) 495 (Eg) and 650 (Eg) cm−1. These peaks are associated with rotational-, bending-, and stretching-like vibrations of the MnO6 octahedra, respectively. In the present measurement the absence of one Eg mode might be due to disorder produced in the sample because of the shift in position or vacancies of the atoms around the oxygen atoms or change of the Mn valence. It has been noticed from the graph that with increasing strontium-vacancy x, the Raman scattering intensity of the phonon modes are increasing. It is thus noticed that all the Eg vibrational modes shift slightly towards high wave number side, the shift of the wavenumber may be due to the change in the Mn–O distance.30


image file: c5ra11395d-f4.tif
Fig. 4 Raman spectrum of La0.65Eu0.05Sr0.3−xMnO3 (x = 0, 0.10 and 0.15).

3.3. Magnetic properties

In order to study the strontium-vacancies effect on the magnetic properties, magnetization (M) versus temperature (T) under an applied magnetic field of 500 Oe for La0.65Eu0.05Sr0.3−xMnO3 (x = 0, 0.10 and 0.15) is measured and reported in Fig. 5. The curves reveal paramagnetic (PM) to ferromagnetic (FM) phase transition, corresponding to the Curie temperature TC. The ferromagnetic ordering transition temperatures TC, defined as the one corresponding to the peak of dM/dT (inset, Fig. 5), are summarized in Table 1.
image file: c5ra11395d-f5.tif
Fig. 5 Temperature dependence of magnetization for La0.65Eu0.05Sr0.3−xMnO3 (x = 0, 0.10 and 0.15). The inset indicates the plot of dM/dT curve for determining TC.

The introduction of the strontium vacancies in our samples involves a partial conversion of Mn3+ to Mn4+ ions according to the formula La0.653+Eu0.053+Sr0.3−x2+Mn0.7−2x3+Mn0.3+2x4+O3. The increase of the strontium vacancies content x leads to an increase of Mn4+ ion number which produces a decrease in the DE interaction (Mn3+–O2−–Mn4+) and favors the SE interaction (Mn4+–O2−–Mn4+) and as consequence a decrease of the Curie temperature TC. The value of Mn4+/Mn3+ ratio with increasing x obtained from iodometric titrations supports this argument (see Table 1). Based on the model of double exchange (DE), a lower TC corresponds to a poorer overlap between Mn3d and O2p orbitals, resulting in a reduced bandwidth (W).31 The bandwidth can be described empirically by W ∝ cos[thin space (1/6-em)]w/(dMn–O)3.5, where w = (1/2(π − θMn–O–Mn)) and dMn–O is the Mn–O bond length. Estimated values of the bandwidth W are given in Table 1.

In order to investigate the magnetic behavior at low temperatures, we have carried out magnetization measurements versus magnetic applied field up to 5 T at several temperatures (isothermal magnetization). These magnetization curves are reported in Fig. 6 for (a) x = 0, and (b) x = 0.10 samples. The magnetization has been found to increase with decreasing temperature in the selected temperature range, where thermal fluctuation of spins decreases with decreasing temperature.


image file: c5ra11395d-f6.tif
Fig. 6 Isothermal magnetization versus magnetic field around TC of La0.65Eu0.05Sr0.3−xMnO3, (a) for x = 0 and (b) for x = 0.10.

To determine the nature of the magnetic phase transition (first or second order) for our samples, we presented in Fig. 7(a and b) the Arrott plot,32 (μ0H/M versus M2) for x = 0 and x = 0.10. All of the M2 vs. μ0H/M curves show positive slopes without inflection points, which is characteristic of second order transitions according to the Banerjee criterion.33


image file: c5ra11395d-f7.tif
Fig. 7 Arrott plot of μ0H/M vs. M2 at different temperatures for La0.65Eu0.05Sr0.3−xMnO3, (a) x = 0 and (b) x = 0.10.

3.4. Magnetocaloric effect

MCE is an intrinsic property of magnetic materials. It is the response of the material toward the application or removal of a magnetic field. This response is maximized when the material is near its magnetic ordering temperature. Using the thermodynamic theory, the magnetic entropy change ΔSM, which results from spin ordering and which is induced by the variation μ0ΔH of the magnetic applied field from 0 to μ0H, is given by the following relation:34,35
 
image file: c5ra11395d-t3.tif(2)

Experimentally, the magnetic entropy change ΔSM is often evaluated by some numerical approximation methods. One is to use directly the measurements of MT curve under different applied magnetic fields. In the case of small discrete field intervals, ΔSM can be obtained approximately from eqn (1) and written as:

 
image file: c5ra11395d-t4.tif(3)

In the formula, image file: c5ra11395d-t5.tif is the experimental value obtained from MT curve in magnetic field Hi. Another method is to use isothermal magnetization measurements. In the case of magnetization measurements at small discrete field and temperature intervals, ΔSH can be expressed approximately from eqn (2) as:

 
image file: c5ra11395d-t6.tif(4)
where Mi and Mi+1 are the experimental values of the magnetization at Ti and Ti+1, respectively, under an applied magnetic field μ0Hi. In this paper, we adopt the latter to evaluate the entropy change associated with applied field variation.

The magnetic entropy change ΔSM for La0.65Eu0.05Sr0.3−xMnO3 (x = 0, 0.10 and 0.15) was calculated from eqn (3) using the magnetization isotherms in the vicinity of the ordering temperature TC. Fig. 8 shows the temperature dependence of magnetic entropy change (−ΔSM) at various intervals of magnetic field. The maximum value of ΔSM is found to be around TC and it increases with the increase of the ΔH variation of the applied magnetic field. As an important result, these curves reveal that all samples present a large magnetocaloric effect. This |ΔSmaxM| is found to be sensitive to the strontium deficiency. Indeed, under μ0H = 5 T, |ΔSmaxM| is equal to 5.44, 5.15, and 4.96 J kg−1 K−1 for the samples of x = 0, 0.10 and 0.15, respectively.


image file: c5ra11395d-f8.tif
Fig. 8 The temperature dependence of the magnetic entropy change (ΔSM) under different applied magnetic fields and the inset represent (ΔSmaxM), and the relative cooling power (RCP) values versus applied magnetic field: (a) for x = 0, (b) for x = 0.10 and (c) for x = 0.15.

Another useful parameter, which quantifies the efficiency of a magnetocaloric material, is the relative cooling power (RCP). It is the heat transfer between the hot and the cold tanks during an ideal refrigeration cycle. It can be defined as:

 
RCP = −ΔSmaxM × δFWHM, (5)
where δFWHM = ΔT is the full-width at half maximum peak and −ΔSmaxM is the maximum value of magnetic entropy change that occurs at Curie temperature.

The RCP estimated in the present set of La0.65Eu0.05Sr0.3−xMnO3 (x = 0, 0.10 and 0.15) samples increases with x (see Table 3). The largest RCP values for x = 0.15 is about 69% of that of pure Gd, the prototype magnetic refrigerant material (RCP = 410 J kg−1).36 For comparison, the maximum magnetic entropy change, the Curie temperature, and the relative magnetic cooling efficiency of several manganese perovskites,37,38 which could be used for room temperature magnetic refrigerators are presented in Table 3. From these results, we can estimate that our materials are potential candidates to magnetic refrigeration applications.

Table 3 Maximum entropy change |ΔSmaxM| and relative cooling power (RCP), for La0.65Eu0.05Sr0.3−xMnO3 (x = 0, 0.10, and 0.15), occurring at the Curie temperature (TC) and under magnetic field variations, ΔH = 1 T or ΔH = 5 T, compared to several materials considered for magnetic refrigeration
Composition TC (K) ΔH (T) |−ΔSmaxM (J kg−1 K−1)| RCP (J kg−1) Ref.
Gd 293 1 3.25 36
La0.665Eu0.035Sr0.3MnO3 357 1 1.58 42.3 38
La0.56Eu0.14Sr0.3MnO3 306 1 1.46 47.7 38
La0.65Eu0.05Sr0.3MnO3 355 1 1.89 33 This work
La0.65Eu0.05Sr0.2MnO3 330 1 1.74 42 This work
La0.65Eu0.05Sr0.15MnO3 280 1 1.5 54 This work
La0.67Ba0.33Mn0.98Ti0.02O3 310 1 0.93 45 18
Gd 293 5 9.5 410 37
La0.65Eu0.05Sr0.3MnO3 355 5 5.44 230 This work
La0.65Eu0.05Sr0.2MnO3 330 5 5.15 245 This work
La0.65Eu0.05Sr0.15MnO3 280 5 4.96 283 This work
La0.65Eu0.05Sr0.3Mn0.9Cr0.1O3 310 5 3.35 207 16
La0.67Ba0.33Mn0.98Ti0.02O3 310 5 3.19 307 18
La0.7Sr0.3Mn0.93Fe0.07O3 296 5 4.0 225 20


As shown in the insets of Fig. 8, ΔSmaxM and RCP exhibit a linear rise with increasing field which indicates that a much larger entropy change and relative cooling power are to be expected at higher magnetic field, satisfying thereby the effects of spin–lattice coupling associated with changes in the magnetic ordering process in the samples.39

The phenomenological universal curve of the field dependence of the magnetic entropy ΔSM proposed by Franco et al.40,41 can be used as a further criterion to distinguish the order of the magnetic phase transition. This phenomenological universal curve can be constructed by normalizing all the ΔSM(T) curves by their respective maximum ΔSmaxM, namely, ΔS′ = ΔSM(T)/ΔSmaxM rescaling the temperature axis below and above TC as defined in eqn (6) with an imposed constraint that the position of two additional reference points in the curve corresponding to θ ± 1.

The construction of the phenomenological universal curve requires to normalize each isofield ΔSM(T) to its maximum value |ΔSmaxM| and then rescaling the temperature axis defining a new variable θ,42

 
image file: c5ra11395d-t7.tif(6)
here, the reference temperatures TR1 and TR2 are chosen such that ΔSM(TR1) = ΔSM(TR2) = ΔSmaxM/2. For the materials undergoing second-order phase, the rescaled magnetic entropy change curves follow an universal behavior. While the scaled ΔSM curves do not collapse as a single curve, the materials undergo a first-order phase transition.43

The normalized entropy change curves as a function of the rescaled temperature for La0.65Eu0.05Sr0.3−xMnO3 (x = 0, 0.10 and 0.15) samples are plotted in Fig. 9. It can be obviously seen that the experimental data collapse into an universal curve for the studied samples. This behavior proves that the studied manganites undergo the second-order magnetic phase transition, which is consistent with the trends observed in the Arrott plots (Fig. 7). The universal curve can be well fitted by a Lorentz function such as:

 
image file: c5ra11395d-t8.tif(7)
where a, b, and c are the free parameters. By taking into account the asymmetry of the curve (see the inset of Fig. 7, for x = 0), two different sets of constants have to be used: for T < TC, a = 1.14 ± 0.03, b = 1.03 ± 0.03 and c = 0.34 ± 0.05; and for T > TC, a = 0.92 ± 0.05, b = 0.93 ± 0.04 and c = 0.025 ± 0.06.


image file: c5ra11395d-f9.tif
Fig. 9 Normalized ΔSM versus rescaled temperature θ for La0.65Eu0.05Sr0.3−xMnO3, the inset shows collapse of the experimental data onto the average curve and the solid line is the fit to eqn (7).

In order to determine the field dependence of the experimental ΔSM of the studied material, a local exponent is calculated using ΔSM = a(μ0H)n as,44

 
image file: c5ra11395d-t9.tif(8)
where a is a constant and the exponent n depend on the values of field and temperature. In a mean field approach, the value of n at the Curie temperature is predicted to be 2/3.45

Fig. 10 shows the dependence of the local exponent n for the studied samples for typical field changes up to 5 T. All the curves follow the universal behavior described by Franco et al.41 At TC, an increase in n is observed with the decrease in the field change. This can be associated to the nonsaturation of the sample. Thus, the local exponent n is close than 2/3 for small field changes. The n values around TC are 0.65, 0.62, and 0.60 for x = 0, 0.10 and 0.15 respectively, which confirms the validity of the mean field model in the description of our samples near the transition temperature. These values are similar to those obtained for soft magnetic materials containing rare earth metals.46 When plotting the so-called local n(T) exponents, one may see that the n(T) values are weakly affected by a magnetic field strength, as shown in the inset of Fig. 10. In general, an application of stronger magnetic field nonuniformly pulls the n(T) curves down by a few percent. The shift seems to be minimum in vicinity of Curie temperature and is enhanced both below and above TC. For the ideal, single-phase and perfectly homogeneous materials the n(T) exponent is expected to be field independent at the Curie temperature.47,48 However, serious deviations from this ideal model observed in various materials are ascribed to such factors, like secondary phases (negligible in manganites studied) and imperfections, e.g., inside grain boundaries, which may broaden a distribution of Curie temperatures and in turn cause that the sample is not saturated in a whole volume, when a magnetic field is not strong enough.


image file: c5ra11395d-f10.tif
Fig. 10 θ dependence of the local exponent n for La0.65Eu0.05Sr0.3−xMnO3 (x = 0 and x = 0.10) for typical field changes. Inset shows the temperature variation of local n exponent calculated at typical magnetic fields.

4. Conclusion

We have studied the magnetic and magnetocaloric properties of La0.65Eu0.05Sr0.3−xMnO3 prepared using the Pechini sol–gel method. Rietveld refinement of XRD patterns shows that all compounds possess rhombohedral structure with R[3 with combining macron]c space group. The increase of the strontium vacancies content x leads to an increase of Mn4+ ion number which produces a decrease in the double exchange interaction (Mn3+–O2−–Mn4+) and favors the super-exchange interaction (Mn4+–O2−–Mn4+), thus leading to decrease of the Curie temperature TC. Magnetic measurements show that all compounds exhibit a FM–PM second order transition. A large MCE is observed near TC. The maximum of the magnetic entropy change |ΔSmaxM| in a magnetic field change of 5 T is found to be 5.44, 5.15 and 4.96 J kg−1 K−1 for x = 0, 0.10 and 0.15, respectively. Broad operating temperature range along with moderate values of |ΔSmaxM| and RCP make these compounds potential candidates for magnetic refrigeration applications. An uniform phenomenological function that describes the magnetic entropy change is found for these materials.

References

  1. A. P. Ramirez, J. Phys.: Condens. Matter, 1997, 9, 8171 CrossRef CAS.
  2. Z. B. Guo, Y. W. Du, J. S. Zhu, H. Huang, W. P. Ding and D. Feng, Phys. Rev. Lett., 1997, 78, 1142 CrossRef CAS.
  3. M. B. Salamon and M. Jaime, Rev. Mod. Phys., 2001, 73, 583 CrossRef CAS.
  4. E. Dagotto, T. Hotta and A. Moreo, Phys. Rep., 2001, 344, 1 CrossRef CAS.
  5. C. Zener, Phys. Rev. B: Condens. Matter Mater. Phys., 1951, 82, 403 CAS.
  6. A. J. Millis, Phys. Rev. B: Condens. Matter Mater. Phys., 1996, 53, 8434 CrossRef CAS.
  7. S. Mori, C. H. Chen and S. W. Cheong, Phys. Rev. Lett., 1998, 81, 3972 CrossRef CAS.
  8. D. T. Morelli, A. M. Mance, J. V. Mantese and A. L. Micheli, J. Appl. Phys., 1996, 79, 373 CrossRef CAS PubMed.
  9. L. E. Hueso, P. Sande, D. R. Miguéns, J. Rivas, F. Rivadulla and M. A. López-Quintela, J. Appl. Phys., 2002, 91, 729943 CrossRef PubMed.
  10. B. Boy, A. Poddar and S. Das, J. Appl. Phys., 2006, 100, 104318 CrossRef PubMed.
  11. J. J. Neumeier, K. Andres and K. J. McClellan, Phys. Rev. B: Condens. Matter Mater. Phys., 1999, 59, 1701 CrossRef CAS.
  12. M. Muroi, R. Street and P. G. McCormik, J. Appl. Phys., 2000, 87, 3424 CrossRef CAS PubMed.
  13. J. Blasco, J. García, J. M. de Teresa, M. R. Ibarra, J. Perez, P. A. Algarabel, C. Marquina and C. Ritter, Phys. Rev. B: Condens. Matter Mater. Phys., 1997, 55, 8905 CrossRef CAS.
  14. A. Hagaza, N. Kallel, S. Kallel, T. Guizouarn, O. Peña and M. Oumezzine, J. Alloys Compd., 2009, 486, 250 CrossRef CAS PubMed.
  15. M. S. Anwar, F. Ahmed and B. H. Koo, J. Alloys Compd., 2014, 617, 893 CrossRef CAS PubMed.
  16. J. S. Amaral, M. S. Reis, V. S. Amaral, T. M. Mendonça, J. P. Araújo, P. B. Tavares and J. M. Vieira, Mater. Sci. Forum, 2006, 299, 514 Search PubMed.
  17. R. Bellouz, M. Oumezzine, E. K. Hlil and E. Dhahri, J. Magn. Magn. Mater., 2015, 375, 136 CrossRef CAS PubMed.
  18. M. Oumezzine, O. Peña, S. Kallel and M. Oumezzine, J. Alloys Compd., 2012, 539, 116 CrossRef CAS PubMed.
  19. M. Oumezzine, S. Zemni and O. Peña, J. Alloys Compd., 2010, 508, 292 CrossRef CAS PubMed.
  20. S. K. Barik, C. Krishnamoorthi and R. Mahendiran, J. Magn. Magn. Mater., 2011, 323, 1015 CrossRef CAS PubMed.
  21. W. A. Sun, J. Q. Li, W. Q. Ao, J. N. Tang and X. Z. Gong, Powder Technol., 2006, 166, 77 CrossRef CAS PubMed.
  22. M. Oumezzine, S. Kallel, O. Peña, N. Kallel, T. Guizouarn, F. Gouttefangeas and M. Oumezzine, J. Alloys Compd., 2014, 582, 640 CrossRef CAS PubMed.
  23. A. Ben Amor, M. Koubaa, W. Cheikhrouhou-Koubaa and A. Cheikhrouhou, J. Alloys Compd., 2009, 467, 78 CrossRef CAS PubMed.
  24. W. Cheikhrouhou Koubaa, M. Koubaa and A. Cheikhrouhou, J. Alloys Compd., 2011, 509, 4363 CrossRef CAS PubMed.
  25. W. Boujelben, A. Cheikh-Rouhou, J. Pierre and J. C. Joubert, Phys. B, 2002, 321, 37 CrossRef CAS.
  26. R. D. Shanon, Acta Crystallogr., Sect. A: Cryst. Phys., Diffr., Theor. Gen. Crystallogr., 1976, 32, 751 CrossRef.
  27. J. Spooren, R. I. Walton and F. Millange, J. Mater. Chem., 2005, 15, 1542 RSC.
  28. L. M. Carrón, A. de Andrés, M. J. Martínez-Lope, M. T. Casais and J. A. Alonso, Phys. Rev. B: Condens. Matter Mater. Phys., 2002, 66, 174303 CrossRef.
  29. V. B. Podobedov, D. B. Romero, A. Weber, J. P. Rice, R. Schreekala, M. Rajeswari, R. Ramesh, T. Venkatesan and H. D. Drew, Appl. Phys. Lett., 1998, 73, 3217 CrossRef CAS PubMed.
  30. N. V. Minh and I. S. Yang, Vib. Spectrosc., 2006, 42, 353 CrossRef CAS PubMed.
  31. P. G. Radaelli, G. Iannone, M. Marezio, H. Y. Hwang, S. W. Cheong, J. D. Jorgensen and D. N. Argyriou, Phys. Rev. B: Condens. Matter Mater. Phys., 1997, 56, 8265 CrossRef CAS.
  32. L. M. R. Martinez and J. P. Attfield, Phys. Rev. B: Condens. Matter Mater. Phys., 1996, 54, 5622 CrossRef.
  33. B. K. Banerjee, Phys. Lett., 1964, 12, 16 CrossRef.
  34. V. K. Pecharsky and K. A. Gschneidner Jr, J. Magn. Magn. Mater., 1999, 200, 44 CrossRef CAS.
  35. J. S. Amaral and V. S. Amaral, J. Magn. Magn. Mater., 2010, 322, 1552 CrossRef CAS PubMed.
  36. M. Földeàki, R. Chahine and T. K. Bose, J. Appl. Phys., 1995, 77, 3528 CrossRef PubMed.
  37. K. A. Gschneidner Jr, V. K. Pecharsky and A. O. Tsokol, Rep. Prog. Phys., 2005, 68, 1479 CrossRef.
  38. J. S. Amaral, M. S. Reis, V. S. Amaral, T. M. Mendonça, J. P. Araújo, P. B. Tavares and J. M. Vieira, Mater. Sci. Forum, 2006, 299, 514 Search PubMed.
  39. S. Zemni, M. Baazaoui, J. Dhahri, H. Vincent and M. Oumezzine, Mater. Lett., 2009, 63, 489 CrossRef CAS PubMed.
  40. V. Franco and A. Conde, Int. J. Refrig., 2010, 33, 465 CrossRef CAS PubMed.
  41. V. Franco, R. C. Flores, A. Conde, Q. Y. Dong and H. W. Zhang, J. Magn. Magn. Mater., 2009, 321, 1115 CrossRef CAS PubMed.
  42. V. Franco, J. S. Blázquez and A. Conde, Appl. Phys. Lett., 2006, 89, 222512 CrossRef PubMed.
  43. C. M. Bonilla, J. H. Albillos, F. Bartolomé, L. M. García, M. P. Borderías and V. Franco, Phys. Rev. B: Condens. Matter Mater. Phys., 2010, 81, 224424 CrossRef.
  44. T. D. Shen, R. B. Schwarz, J. Y. Coulter and J. D. Thompson, J. Appl. Phys., 2002, 91, 5240 CrossRef CAS PubMed.
  45. H. Oesterreicher and F. T. Parker, J. Appl. Phys., 1984, 55, 4334 CrossRef CAS PubMed.
  46. P. Nisha, S. S. Pillai, M. R. Varma and K. G. Suresh, Solid State Sci., 2012, 14, 40e47 CrossRef PubMed.
  47. R. C. Flores, V. Franco, A. Conde, Q. Y. Dong and H. W. Zhang, J. Magn. Magn. Mater., 2010, 322, 804 CrossRef PubMed.
  48. Q. Y. Dong, H. W. Zhang, J. R. Sun, B. G. Shen and V. Franco, J. Appl. Phys., 2008, 103, 116101 CrossRef PubMed.

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