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采用轧制法制备出具有低铁损高磁感0.23mm厚6.4%(质量分数)Si高硅钢。沿轧制方向的最终磁性能为B8=1.474 T,B50=1.714 T;P10/50=0.30W/kg,P15/50=0.88W/kg。利用X射线衍射及背散射电子衍射(EBSD)技术分析了高硅钢在轧制及退火过程中的织构演变过程。结果表明,通过采用大压下率热轧,确保热轧板次表层中产生更多的高斯织构,随后进行遗传;温轧板中粗大的晶粒有利于冷轧剪切带的形成;冷轧板经脱碳退火后生成强{210}〈001〉织构及次表层较强的高斯织构是在轧向上获得高磁感的原因,归因于其在{111}〈112〉冷轧形变晶粒内的剪切带优先形核并长大;最终退火后虽出现了随机取向,但以{310}〈001〉织构为代表的η织构得以保留并且增强,进一步提高了磁感。随着退火温度的升高及保温时间的延长,高硅钢薄板晶粒尺寸不断增大,铁损明显降低。 6.4wt%Si high silicon steel sheets(0.23mm thick)with low iron loss and high magnetic induction were successfully produced by rolling process.The final magnetic properties along the rolling direction(RD) were:B8=1.474T,B50=1.714T;P10/50=0.30 W/kg,P15/50=0.88 W/kg.The texture evolution during rolling and annealing was investigated by means of X-ray diffraction and electron backscatter diffraction(EBSD).It was found that more Goss textures formed in the subsurface of hot rolled plates by using larg... 
2014-10-28 176 5.8

借助OM、激光共聚焦显微镜、质谱仪和电解萃取等设备和方法,研究了添加微量稀土La(质量分数0.001 1%)的取向硅钢在轧制前采用不同加热保温时间对抑制剂固溶行为的影响。结果表明:当稀土取向硅钢在1 250℃分别保温10、20、30 min后,试验钢晶粒尺寸随保温时间延长有先快后慢的长大趋势;三种抑制剂元素Mn、Cu和Al均发生固溶,保温时间对Mn和Cu两种元素的固溶影响明显,固溶量分别由69.8%和43.7%增加至84.2%和85.2%;随着保温时间的延长,稀土取向硅钢中抑制剂的小尺寸未溶物逐渐减少直至消失,较大尺寸未溶物(300~600 nm)逐渐转变为小尺寸未溶物逐步溶入基体中,数量减少且未溶物的类型由复杂逐渐转变为单一。 In this paper the solid solution behavior of the inhibitor under various holding time in 0.001 1 %La oriented silicon steel during reheating had been investigated by using OM, LM, methods of electrolytic extraction and mass spectrometer. The results showed that grain size of the test steel increased significantly with the holding time prolonging when the rare earth oriented silicon steel was heated to1 250 ℃ and held for 10, 20 min and 30 min respectively, and the growth trend slowed down after ... 
2022-02-28 156 5.8

选用Q235和Q345钢,在纯锌浴和含钛量分别为0.05%、0.10%、0.15%、0.20%(质量分数)的合金浴中浸镀0.5、1、3、5、8 min。利用扫描电子显微镜和能谱仪研究了钛对热浸镀锌组织和生长动力学的影响,并提出钛对含硅钢铁锌反应抑制作用的机理。结果表明:钛的加入缩短了Γ的孕育期,促进了合金层中δ的生长和ζ的消失,δ的生长依然受扩散控制,呈抛物线生长规律;Zn-0.05%Ti锌浴可以很好的抑制高硅钢的硅反应性;含硅钢热浸镀锌钛合金浴时,在锌浴中会形成锌铁钛三元T相,该相能吸收ζ晶界处富集的硅,从而抑制了铁锌反应。 Both Q235 and Q345 steels were immersed for 0.5 to 8 min in Zn bath with different amount of Ti,ranging from 0 to 0.20 mass%,for galvanization.The effect of Ti in Zn bath on microstructure and growth kinetics of hot-dip galvanizing coatings on the two steels were investigated by means of SEM and EDS analysis.Base on the experiment,the mechanism of Ti additions in controlling Fe-Zn reaction was proposed.The results show that addition of Ti in the zinc bath decreases the incubation time of Γ phase... 
2013-09-28 138 5.8

对冷轧无取向硅钢在冶炼过程中各个工序的顶渣进行了检测,分析了顶渣变化原因,并得出结论:硅钢生产宜采用复吹转炉,以降低吹炼终点渣中TFe含量,进而减轻对精炼的压力;使用低S、低Al2O3含量中间包覆盖剂;RH脱氧及合金化顺序采用先加硅铁后加铝;首罐宜经LF提温并降低渣中TFe。 The top-surface slag used for the various production processes in smelting coldrolled non-oriented electrical steel is tested and based on tested results the cause of the top surface slag change is analyzed.So it is concluded that the combined blown converter is more suitable to be used for smelting electrical steel in order to reduce the content of TFe in slag at blow end point and then much better results can be achieved during the period of refining.Secondly the tundish flux contenting low co... 
2013-03-28 140 5.8

为开发高效电机用冷轧无取向电工钢,借助实验室薄板坯连铸连轧模拟设备及扫描电镜、透射电镜等检验手段研究了成分、组织、织构和析出物等对无取向电工钢磁性能的影响规律;结果表明:常化处理使组织均匀化并增加有利于磁性提高的织构组分;采用CSP流程开发的高效电机用无取向电工钢铁损平均值3.4 0 W/kg,磁感≥1.68 T。 In order to develop electrical steel for high efficiency motor,effect of components,microstructure,texture and precipitation on magnetic property of electrical steel are analyzed.From the result,normalizing treatment makes microstructure uniform and increases component of favorable texture.Iron loss of electrical steel developed by CSP line is 3.40W/kg and magnetic induction is more than 1.68T. 
2011-01-28 169 5.8

【作者】 王磊; ...
2014-06-28 131 5.8

【作者】 宋波; ...
2013-05-28 100 5.8

【摘要】 <正>目前,日本进口硅钢猛增,6月份4181吨,...
2011-05-28 114 5.8

为提高无取向硅钢导磁性能,研究了不同剪切方式对无取向硅钢剪切处磁畴结构的影响。利用纳米磁流体观测无取向硅钢剪切后边部磁畴结构。结果表明,硅钢无论在机械剪切还是线切割后的边部磁畴都会发生不同程度的改变:线切割对边部磁畴结构改变较小,边部磁畴分布均匀且连续,在距边缘0~20μm范围内出现磁畴宽度变小现象;机械剪切对磁畴的改变较为严重,剪切处磁畴零乱且不连续,在距边缘20μm处仍难以观察到完整的磁畴结构。 The effects of different shearing modes on magnetic domain structure of cold rolled non-oriented silicon steel are studied in this paper.The magnetic domain of cold rolled non-oriented silicon steel is observed by nanometer magnetic fluid pattern method.The results show that the edge magnetic domain structure will be changed by mechanical shear and wire-electrode cutting,the variation of edge magnetic domain structure wire-electrode cutting edge is very small,the magnetic domain structure is wel... 
2012-04-28 137 5.8

试验的铸态取向硅钢(/%:0.0440.056C,3.123.32Si,0.080.11Mn,0.0020.008S,0.002 90.029 1Als,0.006 20.010 9N)由30 kg高频真空感应炉熔炼。通过场发射扫描电子显微镜/能谱仪(FE-SEM/EDS)研究结果表明,0.002 9%Als钢中氧化物主要为SiO2,存在片状、棒状及近似球状的独立MnS,未发现含铝的氧化物或氮化物;0.0090%Als钢中出现以Al2O3为主的复合氧化夹杂物,存在MnS与AlN的复合析出物。钢中Als增加,复合析出物多呈簇状发展。氧化物容易成为MnS-AlN复合析出的核心,钢中Als含量越低,夹杂物中的MnS含量越高;作为核心的氧化物夹杂的尺寸越小,形成的复合夹杂物的形状越规则,尺寸也越小。热力学计算结果表明,钢中Als含量主要影响了钢中氧化物夹杂的组成和AlN的析出温度及析出量。 Test as-cast grain-oriented silicon steel(/%:0.044 0.056C,3.12 3.32Si,0.08 0.11Mn,0.0020.008S,0.002 90.029 1 Als,0.006 20.010 9N) is melted by a 30 kg high frequency vacuum induction furnace.The research results by using field emission-scanning electron microscope/energy dispersive spectrometer(FE-SEM/EDS) show that in 0.002 9%Als steel the main oxide is SiO2,and there is independent laminable,rod-like and approximate ... 
2014-02-28 142 5.8

磁性能指标是硅钢产品最关键的质量指标之一,但是目前磁性能判定100%依赖于样品的离线实验室检测结果,生产线配置的在线检测仪的测量结果由于精度问题,不宜直接用于成品牌号判级。本文在现有硅钢产品质量管控体系基础上,利用大数据技术对生产数据进行分析与建模,构建不同磁性能指标在线检测模型,并在现有信息系统上完成模型库的集成部署,实现硅钢产品全长、多指标磁性能结果的拟合数据输出,支撑取样优化、精准分切、辅助综合判定等功能应用,进一步优化硅钢产品质量管控体系。 The magnetic performance index of silicon steel products is one of the most critical quality indexes.However,at present,100%determination of magnetic performance depends on the offline laboratory test results of samples,and the measurement results of the online detector configured in the production line cannot be applied in practice due to the accuracy problem.Based on the existing quality control system of silicon steel products,big data technology was used to analyze and model the production d... 
2022-02-28 206 5.8

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