Reverse Magnetization Behavior Investigation of Mn-Al-C-(α-Fe) Nanocomposite Alloys with Different α-Fe Content Using First-Order Reversal Curves Analysis
2022 (English)In: Nanomaterials, E-ISSN 2079-4991, Vol. 12, no 19, p. 3303-, article id 3303Article in journal (Refereed) Published
Abstract [en]
The reverse magnetization behavior for bulk composite alloys containing Mn-Al-C and α-Fe nanoparticles (NPs) has been investigated by hysteresis loops, recoil, and first-order reversal curves (FORC) analysis. The effect of adding different percentages of α-Fe (5, 10, 15, and 20 wt. %) on the magnetic properties and demagnetization behavior of Mn-Al-C nanostructured bulk magnets was investigated. The fabricated nanocomposites were characterized by XRD and VSM for structural analysis and magnetic behavior investigations, respectively. The demagnetization curve of the sample Mn-Al-C-5wt. % α-Fe showed a single hard magnetic behavior and showed the highest increase in remanence magnetization compared to the sample without α-Fe, and therefore this combination was selected as the optimal composition for FORC analysis. Magnetic properties for Mn-Al-C-5 wt. % α-Fe nanocomposite were obtained as Ms = 75 emu/g, Mr = 46 emu/g, Hc = 3.3 kOe, and (BH)max = 1.6 MGOe, indicating a much higher (BH)max than the sample with no α-Fe. FORC analysis was performed to identify exchange coupling for the Mn-Al-C-0.05α-Fe nanocomposite sample. The results of this analysis showed the presence of two soft and hard ferromagnetic components. Further, it showed that the reverse magnetization process in the composite sample containing 5 wt. % α-Fe is the domain rotation model.
Place, publisher, year, edition, pages
MDPI AG , 2022. Vol. 12, no 19, p. 3303-, article id 3303
Keywords [en]
reverse magnetization, recoil curve, FORC analysis, Henkel plot, MnAlC
National Category
Metallurgy and Metallic Materials
Identifiers
URN: urn:nbn:se:kth:diva-320699DOI: 10.3390/nano12193303ISI: 000867047700001PubMedID: 36234431Scopus ID: 2-s2.0-85139770526OAI: oai:DiVA.org:kth-320699DiVA, id: diva2:1707196
Note
QC 20221031
2022-10-312022-10-312022-10-31Bibliographically approved