HITPERM soft magnetic alloy Fe ( Co ) -M-B-Cu ( M=Nb,Zr,Hf ) due to the structure of the particularity of its excellent high temperature soft magnetic properties,the most promising for the second generation of electricity
Pneumatic shuttle ( MEA ) and other high-temperature applications,is currently one of the hot spots of soft magnetic materials development.In this paper,using positron annihilation spectra experimental means,the quenched amorphous alloy ( Fe1-xCox )86Hf7B6Cu1( x=0.0.5) of magnetic pulse before and after treatment of structural defects are studied.
Positron annihilation technique is adopted and incident positron annihilation reaction materials electronic materials microstructure and defect information.Positron annihilation life spectroscopy using fast -- fast with ORTEC system were measured,the measured lifetime spectrum decomposition into 3exponential decay components were fitting solution spectrum,obtained positive annihilation I and corresponding annihilation strength Ii ( i=1,2,3).1 of which corresponds to a single vacancy ( or single vacancy ) of positron annihilation in2,corresponds to a cluster of positron annihilation in3,mainly due to the source surface,the inner surface of the source and the sample or sample space between and positron annihilation.Research shows that,by magnetic pulse processing,( Fe1-xCox )86Hf7B6Cu1( x=0.0.5) alloy by positron annihilation lifetime value I on the whole are showing a downward trend,the lifetime component corresponding to the intensity of Ii also have a smaller amplitude fluctuation.This means that the magnetic pulse processing,amorphous alloy to microstructure and defects of structure changes,resulting in specimens of positron annihilation parameters should also be accompanied by a change in.In addition,quenched amorphous alloy Co content ( x ) of (Fe1-xCox)86Hf7B6Cu1( x=0.0.5) in amorphous alloys by positron annihilation lifetime is influential.Among them,x=0.4 component samples corresponding to the first lifetime value (1) and the second lifetime values (2) are smaller,x=0.4component contained in the sample of single vacancies and vacancy clusters are smaller in volume..