Journal of Applied Physics · 1996 · 198 citations · 29 references
Natural SciencesMaterials EngineeringMaterials ScienceMagnetic MaterialsMaterials CharacterizationNanomaterialsFerromagnetic MaterialsFerromagnetismMagnetic CharacterizationMagnetic NanomaterialsMagnetic Properties Of SolidsMetalsDevitrificationMagnetic Materials CharacterizationMagnetic NanowiresMagnetic PropertiesNanomagnetismNanostructured Magnetic MaterialsPhysical PropertiesResistivity
Excellent soft magnetic properties and low resistivity make this nanostructured Fe73.5Si13.5B9Cu1Nb3 alloy a promising material for future giant magneto‑impedance applications. The study investigates how annealing‑induced structural modifications affect the giant magneto‑impedance effect and aims to tailor circumferential permeability and resistivity for specific applications. The authors examine GMI as a function of annealing‑induced structural changes and develop a simple model linking the.
The giant magneto-impedance effect (GMI) is studied as a function of the structural modification induced in an Fe73.5Si13.5B9Cu1Nb3 amorphous alloy wire by annealing. The values of GMI are correlated to those structural changes and with the corresponding variation of the magnetic properties and intrinsic resistivity. Excellent soft magnetic properties, associated with low resistivity values, make this nanostructured material as one of the most promising for future applications of the GMI effect. The tailoring of the structure which can be induced by adequate thermal treatments easily allows one to obtain excellent combinations of circumferential permeability μφ and resistivity ρ during different devitrification stages, in order to produce materials for specific aims. Maximum GMI ratios of 200% are found after annealing the wires in the range 550–600 °C, where an optimum compromise between μφ and ρ is found. A simple model is developed correlating the fundamental physical properties of the soft magnetic wires with the measured values of both components of the impedance, allowing the prediction of experimental GMI ratios and an easy visualization of the phenomenon.
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