Microstructural analysis, magnetic properties, magnetocaloric effect, and critical behaviors of Ni 0.6 Cd 0.2 Cu 0.2 Fe 2 O 4 ferrites prepared using the sol-gel method under different sintering temperatures

• Published in: RSC advances Vol. 9; no. 4; pp. 1990 - 2001
• Main Authors: Kouki, Noura, Hcini, Sobhi, Boudard, Michel, Aldawas, Reema, Dhahri, Abdessalem
• Format: Journal Article
• Language: English
• Published: England Royal Society of Chemistry 15.01.2019
• Subjects: Chemical Sciences; Material chemistry
• ISSN: 2046-2069; 2046-2069
• DOI: 10.1039/c8ra09113g

This work focuses on the microstructural analysis, magnetic properties, magnetocaloric effect, and critical exponents of Ni Cd Cu Fe O ferrites. These samples, denoted as S1000 and S1200, were prepared using the sol-gel method and sintered separately at 1000 °C and 1200 °C, respectively. XRD patterns confirmed the formation of cubic spinel structures and the Rietveld method was used to estimate the different structural parameters. The higher sintering temperature led to an increased lattice constant ( ), crystallite size ( ), magnetization ( ), Curie temperature ( ), and magnetic entropy change (-Δ ) for samples that exhibited second-order ferromagnetic-paramagnetic (FM-PM) phase transitions. The magnetic entropy changed at an applied magnetic field ( ) of 5 T, reaching maximum values of about 1.57-2.12 J kg K , corresponding to relative cooling powers (RCPs) of 115 and 125 J kg for S1000 and S1200, respectively. Critical exponents ( , , and ) for samples around their values were studied by analyzing the ( , ) isothermal magnetizations using different techniques and checked by analyzing the -Δ curves. The estimated values of and exponents (using the Kouvel-Fisher method) and exponent (from ( , ) critical isotherms) were = 0.443 ± 0.003, = 1.032 ± 0.001, and = 3.311 ± 0.006 for S1000, and = 0.403 ± 0.008, = 1.073 ± 0.016, and = 3.650 ± 0.005 for S1200. Obviously, these critical exponents were affected by an increased sintering temperature and their values were different to those predicted by standard theoretical models.