Nanocrystalline Power Transformer Cores 2019-02-03T19:22:52+00:00

Nanocrystalline Power Transformer Cores

Efficient
Stable
Cost

Nanocrystalline power transformer core is made by transverse magnetic-heat treatment to reduce core loss and residual magnetic induction, so as to obtain large working magnetic induction △B. This kind of core is suitable for push-pull type (full-bridge, half-bridge) converters.

Characteristics  

  •  High initial permeability: Larger insert loss, better inhibiting effect on conducted interference than ferrite.

  • High saturation induction: about 2-3 times higher than ferrite, hardly magnetized to saturate in the cases of current strong interference.

  •  Excellent temperature stability: higher Curie temperature, the changes in alloy performance obviously lower than ferrite under the circumstance of larger temperature fluctuations, showing excellent temperature stability

  • Flexible frequency characteristic: More flexible to obtain the required frequency characteristic through adjustment process.

Physical Properties 

Saturation Magnetization(Bs)1.25TSaturation Magnetostrictive Coefficient(λs)<2×10-6
Curie Temperature(Tc)560℃Density(d)7.3g/cm3
Crystallization Temperature(Tx)510℃Resistivity(ρ)130μΩ-cm
Hardness(Hv)800Continuous Operating Temperature Range-55~130℃

Magnetic Properties

Annealing MethodNon-magnetic Annealing
Initial Permeability>150,000
Maximum Permeability>600,000
Residual Magnetic Flux Density0.6T
Coercivity<0.8A/m
Iron Loss P(20kHz,0.5T)<25W/kg
Iron Loss P(100kHz,0.3T)<150W/kg
Iron Loss Change Rate (-55℃~125℃)<15%
"Amorphous Inductor"

Applications

  • Frequency converter

  •  Inverter welding machine power supply

  • Telecom power system

  • High frequency induction heating power supply

  • UPS

  • Laser power supply

  • Electrolytic plating power supply

  • High-power switching power supply

Performance Curves

Core Dimension

OD-Outside Diameter ;  ID-Inside Diameter ; HT- Height

Specification

Cores with other specifications can be provided concerning to customer demand.

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