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运用电子背散射衍射(EBSD)和X射线衍射(XRD)技术对硅钢热轧板的织构在板厚方向的分布进行了研究,并分析了两种织构测量方法的特点。EBSD技术能直观给出板厚方向的微观织构,XRD能得到钢板的宏观统计织构信息,结合两种技术的分析,能更直观更精确的研究不同织构在板厚方向的分布。 The texture distribution along the thickness of the silicon steel has been investigated by electron backscatter diffraction(EBSD) and X-ray diffraction(XRD) technique.The characteristics of two technique of texture analysis have been investigated.Combined the two techniques,the texture distribution along the thickness of the silicon steel could be realized distinctly and accurately. 
2011-02-28 125 5.8

针对宝钢硅钢常化退火过程中产生的退火炉辊印缺陷问题,通过实际生产的大数据与产品质量问题相结合,将数据挖掘、数据分析方法应用到实际,一定程度上解决了现场实际生产中的痛点,为现场生产提供决策支撑,避免了以前通过人工识别判定存在疏漏和无法定量判断的问题,形成了一套具有鲁棒性和可操作性的钢铁生产过程数据分析方法。通过智慧决策系统平台获取实际生产和表检仪数据,基于Pearson相关系数算法进行变量挑选和特征工程,并应用随机森林算法对数据建立分类预测模型,实现了质量问题的溯源和监控,通过数据量化预测了炉辊印缺陷是否可通过轧制消除的质量问题,识别准确率达到96.43%。 In views of the normalizing annealing furnace roll marks problem occurred in the process of normalizing annealing of silicon steel in Baosteel,by combining big data from actual production with product quality problems,data mining and data analysis methods were applied to actual production to solve the pain points and provide decision support,a robust and practical data analysis method for the steel production process has been developed,which avoided the previous problems of omission and non-quan... 
2022-01-28 153 5.8

采用低温板坯加热制备取向硅钢,通过透射电镜(TEM)观察并研究热轧板中的析出物,用ODF织构法研究热轧板距表面1/8、1/4和1/2处的织构分布。结果表明,热轧板中的析出物主要是密排六方AlN,AlN形貌呈规则长方形,AlN颗粒大小不等,分布密度低;热轧板中的织构沿板厚方向,由亚表层的{110}<001>织构向1/2中心层的α线织构变化,其中{110}<001>织构在热轧板距表面1/4层处最强。 The low temperature grain-oriented silicon steels were produced by acquired inhibitor method.The precipitates in hot rolling strip were observed and studied by transmission electron microscope,and the texture distribution in 1/8,1/4 and 1/2 layers of hot rolling strip were analyzed by ODF method.The results showed that the square shaped h-AlN is the main precipitates in hot rolling strip.The precipitates are varying in size and distribution.The texture of hot rolling strip in thick direction are... 
2011-04-28 141 5.8

【作者】 凌健; ...
2011-03-28 117 5.8

【作者】 朱一知; 陈山; ...
2011-06-28 100 5.8

为了更好的解决电力系统防污闪涂料RTV-Ⅰ长期应用暴露出来的问题以及目前RTV-Ⅱ防污闪涂料存在的一些不足,结合具体实际需求,在电力系统外绝缘领域,应用新型防污闪硬质涂层——防污闪纳米硅钢涂层,并对分别喷涂了防污闪纳米硅钢涂层以及RTV涂料的绝缘子进行对比运行情况研究分析。研究结果表明,防污闪纳米硅钢涂层是一种同时具有优异憎水性迁移性能和自洁性能的新型涂层,具有良好的应用前景。 In order to solve the problem exposed of anti-pollution flashover coating RTV-Ⅰwhich has been used long-term in power system,as well as to better solve some shortcomings of the current anti-pollution flashover coating RTV-Ⅱ,in this paper,a new anti-pollution flashover hard coating — anti-pollution flashover nanometer silicon hard coating(NSHC) is applied in the field of power system insulation for the specific practical needs.At the same time insulators which are separately sprayed by the NSHC a... 
2013-05-28 89 5.8

【作者】 陈迪安; 李春生; ...
2023-05-09 161 5.8

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... 
2014-10-28 158 5.8

Fe-6.5%Si高硅钢是一种具有高磁导率、低矫顽力和低铁损等优异软磁性能的合金,但是其室温脆性和低的热加工性能严重影响了其在工业领域的应用。综述了Fe-6.5%Si高硅钢的性能,评述了合金的改性法、特殊轧制法、快速凝固法、沉积扩散法、粉末冶金法等制备工艺。 It is well known that 6.5%Si high silicon steel is one kind of soft magnetic materials with higher re-lative permeability,lower coercive force and iron loss than those of conventional industrial silicon steel.However,their room-temperature embrittleness and poor workability limit their practical applications in the industry.The pre-paration technique such as modification treatment on alloy,special rolling,rapid solidification,CVD and powder me-tallurgy is reviewed. 
2023-05-09 175 5.8

研究了常化温度、常化时间及常化后冷却速度对Si的质量分数为1.6%的无取向电工钢成品磁性能的影响。结果表明:在850~1 050℃范围内,随着常化温度的升高,成品铁损先减小后增大,成品磁感应强度先增大后减小;当常化温度为1 000℃时,成品平均铁损最低,平均磁感应强度最高;常化时间从3min延长到7min时,成品铁损先减小后增大,成品磁感应强度则呈单调下降趋势;随着常化冷却速度的降低,成品铁损先减小后增大,成品磁感应强度则呈单调增大趋势;对于Si的质量分数为1.6%的无取向电工钢,最佳的常化制度为:在1 000℃进行常化,时间5min,常化后空冷。对热轧板进行常化后,热轧板发生了不同程度的再结晶和晶粒长大。提高常化温度、延长常化时间、降低冷却速度,都能使常化板晶粒粗化,进而粗化成品板晶粒,改善磁性能。通过扫描电镜观察发现,成品板中析出物主要为AlN和MnS的复合析出物,以及少量的单独析出的AlN和MnS,而常化工艺主要是通过粗化析出相,减少细小析出相数量,从而减少对晶界钉扎作用来改善成品磁性能。 The effects of normalizing temperature,normalizing time and cooling rate after normalizing on magnetic properties of non-oriented electrical steel with mass fraction of Si of 1.6% were investigated.The results show that core loss of product decreases first and then increases,while magnetic induction increases first and then decreases with the increase of normalizing temperature from 850 to 1 050℃.Average core loss of product is the lowest and average magnetic induction is the highest when normal... 
2014-09-28 150 5.8

【作者】 陶永根; ...
2011-04-28 113 5.8

结合实际生产0.4%Si无取向硅钢,统计了不含Sn和0.025%Sn无取向硅钢的磁性能变化,利用金相显微镜、X射线衍射仪观察分析不同成分下试样的显微组织和微观织构。试验结果表明:Sn元素可以显著降低无取向硅钢的晶粒尺寸,0.025%Sn试样的平均晶粒尺寸比不含Sn减小28.4%;加入Sn元素后抑制了无取向硅钢中不利于磁性能的{111}面织构组分强度,提高了对磁性能有利的{100}面织构组分强度,0.025%Sn与不含Sn相比磁感均值从1.756 T提升至1.768 T,铁损均值从5.476 W/kg降低至5.204 W/kg,明显改善了无取向硅钢磁性能。 In this paper combined with the actual production of 0.4% Si non oriented silicon steel, the magnetic properties of non oriented silicon steel without Sn and 0.025% Sn were counted. The microstructure and microtexture of samples with different compositions were observed and analyzed by metallographic microscope and X-ray diffraction. The results show that: Sn can significantly reduce the grain size of non oriented silicon steel, and the average grain size of 0.025% Sn sample is 28.4% smaller tha... 
2022-01-28 134 5.8

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