Effects of warm pressing temperature on the compression and magnetic properties of FeSiBC amorphous magnetic powder cores
High resistivity inorganic oxide nanoparticles are widely used as insulation materials for soft magnetic powder cores to reduce the eddy current loss at high frequency,as well as enhance the operational stability and energy utilization efficiency of the devices.In this research,the warm pressing process was introduced into the preparation of FeSiBC amorphous magnetic powder cores aiming at the problem that the presence of nonmagnetic oxide nanoparticles leads to a decrease in the densification and permeability of powder cores.It focused on the effects of warm pressing temperature on the formability,magnetic properties,and mechanical properties of FeSiBC amorphous magnetic powder cores.The results demonstrate that the softened resin can effectively fill the gap between the magnetic powders and enhance the bonding effect at a warm pressing temperature of 120 ℃,so that the powder core has the best compression performance and comprehensive magnetic properties.In this condition,the compressive strengths are 220.0 MPa and 269.1 MPa for the raw and coated powder cores,respectively,which are 107.5％and 47.8％higher compared to room temperature pressing powder core;the effective permeability stabilize to 20.8 H/m and 18.7 H/m in the range of 100 kHz-10 MHz,respectively,which are 20.9％and 16.9％higher compared to room temperature pressing powder core;the alternating current losses are 2 693.5 kW/m3 and 2 228.0 kW/m3 at 1 MHz and 0.05 T,respectively,which are 13.9％and 21.3％lower compared to room temperature pressing powder core.In this work,the optimized parameters in the warm pressing process are explored to enhancing the application frequency and energy utilization efficiency of magnetic powder cores,which provides insights for the preparation of FeSiBC magnetic powder cores with excellent performance.
amorphous magnetic powder corewarm pressing processinsulation coatingcompressive propertysoft magnetic property
万方数据
维普
