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FeNi-based amorphous soft magnetic alloys have low coercivity and good magnetic frequency charac-teristics, and are very promising for applications, but they also face many problems. In this study, in order to improve the amorphous formation ability, thermal stability and soft magnetic properties of FeNi-based amorphous soft magnetic alloys, by partially replacing Ni elements with Co element, the effects of micro-structure, thermal stability, crystallization behavior and soft magnetic properties of (Fe40-io Ni40-xCoxSi9.5B9.5 Cu1)0.97 Nb0.03(x = 2, 4, 6, 8) amorphous alloy strips were systematically studied by means of XRD, DSC, VSM, MOKE and other characterization methods. The research shows that FeNiSiBCuNb alloy system shows better amorphous forming ability and thermal stability performance with partial substitution of Co element. When x=4 at the optimal annealing temperature of 713 K, coercivity Hc is as low as 0.44 A/m, and the effective magnetic permeability µe (f = 1 kHz) is 16290. At this time, the internal stress in the alloy is released, the free volume is reduced, and the structure is more uniform. The magneto crystalline anisotropy is reduced, the magnetic domain pinning point is reduced, a d = 122 jum wide and uniform magnetic domain structure is formed. When JC = 6, the saturation magnetic induction intensity can reach 1.15 T at the annealing temperature of 673 K. At this time, the magnetic exchange coupling between Co element and Fe element optimizes the average atomic magnetic moment of the alloy, showing good soft magnetic properties. [ABSTRACT FROM AUTHOR]

We established the vibration governing equation for a magnetoelastic (ME) biosensor with target loading in liquid. Based on the equation, a numerical simulation approach was used to determine the effect of the target loading position and viscous damping coefficient on the node ("blind points") and mass sensitivity (Sm) of an ME biosensor under different order resonances. The results indicate that viscous damping force causes the specific nodes shift but does not affect the overall variation trend of Sm as the change of target loading position and the effect on Sm gradually reduces when the target approaches to the node. In addition, Sm decreases with the increase of viscous damping coefficient but the tendency becomes weak at high-order resonance. Moreover, the effect of target loading position on Sm decreases with the increase of viscous damping coefficient. Finally, the results provide certain guidance on improving the mass sensitivity of an ME biosensor in liquid by controlling the target loading position. [ABSTRACT FROM AUTHOR]