【摘要】 在“双碳”目标背景下，无取向硅钢的磁性能优化是提升电力装备能效的关键。本文以两种0.35mm厚无取向硅钢为研究对象，基于铁损分离模型将总铁损分离为磁滞损耗P_h、涡流损耗P_e和反常损耗P_a，探究了晶粒尺寸、组织均匀性及再结晶织构对各铁损组分的影响规律。结果表明：相较于平均晶粒尺寸较小、具有强{001}〈130〉织构和弱{111}〈112〉织构的试验钢A，平均晶粒尺寸较大但组织均匀性较差、具有强{001}〈120〉织构的试验钢B的P_h较低、P_a较高。本工作研究了组织、织构与铁损组分的内在关联，为不同工作频率下无取向硅钢的组织织构调控与磁性能优化提供了理论支撑。更多还原

【Abstract】 Against the backdrop of the carbon peaking and carbon neutrality goals,the optimization of magnetic properties of non-oriented silicon steel is pivotal for improving the energy efficiency of power equipment.In this paper,two types of non-oriented silicon steel with a thickness of 0.35 mm were taken as the research objects.Based on the iron loss separation model,the total iron loss was decomposed into hysteresis loss(P_h),eddy current loss(P_e)and anomalous loss(P_a),and the influence laws of grain size,microstructure homogeneity and recrystallization texture on each loss component were investigated.The results showed that compared with steel A having a smaller average grain size,a strong{001}〈130〉texture and a weak{111}〈112〉texture,the steel B with a larger average grain size,poor microstructure homogeneity and a strong{001}〈120〉texture exhibits a lower P_hbut a higher P_a.This work elucidates the intrinsic correlation between microstructure and texture characteristics and iron loss components,and provides theoretical support for the microstructure and texture regulation as well as magnetic performance optimization of non-oriented silicon steels used under different operating frequencies.更多还原