硅钢资料

【作者】 朱一知； 陈山； ...

阐述了国内外高磁感取向硅钢的生产研究水平与发展趋势,包括通过提高高斯晶粒取向度、细化磁畴、涂覆张力涂层、减薄钢片厚度进一步降低铁损以及低温加热技术和短流程技术新工艺。分析高磁感取向硅钢在我国大型电力变压器上的应用情况,结果表明,发展更薄规格高磁感、低铁损、低磁致伸缩取向硅钢可为大型变压器的安全性、节能性及环保性提供有效保障。 The research progress and development trend of high magnetic induction grain-oriented silicon steel at home and abroad are summarized,including the technology of improving the Goss alignment,refining domain wall,adding stress coating,decreasing thickness of sheet,and the new technique of reducing heating temperature of casting slab and shortening operational.Moreover,the application of high magnetic induction grain-oriented silicon in power transformer is presented.Developing grain-oriented sili... 

研究了硼酸对以Al(H2PO4)3为基料的无铬无取向硅钢绝缘涂层各项性能的影响。用盐雾实验、动电位极化及交流阻抗等试验手段研究了不同硼酸含量对硅钢绝缘涂层的耐蚀性和电化学行为的影响,同时采用SEM对涂层的表面形貌进行了研究。结果表明,硼酸含量为9.7%时,涂层的耐盐雾性及电化学性能最好;硼酸含量过少或过多时,涂层的耐蚀性和电化学性能都较差。 Influence of boric acid on the performance of chromium-free non-oriented silicon steel insulating coating based on aluminum dihydrogen phosphate was investigated.Salt spray experiment,potentiodynamic polarization and electrochemical impedance spectroscopy were used to study the influence of boric acid content on the corrosion resistance and electrochemical behavior of the insulation coating of silicon steel.Surface morphologies of the coatings were tested by SEM.Result shows that when the boric ... 

【作者】 张正贵； 李战库； ...

【机构】 商务部进出口公平贸易局； ...

作为一种具有优异高频铁磁性能的合金,Fe-6.5%Si(质量分数)高硅钢在高频工况条件下降损效果明显,对电气行业应用器件高频化、小型化、节能等具有十分重要的意义。通过与取向硅钢测量B-P数据对比,验证了高硅钢高频超低损特性,且轧制高硅钢与日本CVD法生产高硅钢存在基本相同的铁损值。采用国标Epstein Square法对0.30mm高硅钢薄板进行单片测试,并对由0.30mm高硅钢薄板首次装配成的电感器进行铁损测试,对比测试结果表明,元件测试与单片测试数据基本吻合,高磁感应强度条件下,元件测试结果略低于单片测试,分析原因为:线圈引起励磁压降;元件叠片间出现短路,电流增大,损耗增加;气隙板厚度过大。 As one core material with excellent high-frequency ferromagnetism,Fe-6.5%Si performs obviously reduction on core loss in high field frequency which means much to high frequency,minimization,energy conservation in electric industry.Super low loss was verified by drawing B-P curves based on detected experimental data,and which went equal to Fe-6.5%Si thin strip fabricated by CVD in Japan.Fe-6.5%Si was firstly fabricated as inductor in this research,and its core loss was determined for comparison w... 

以质量分数为25%的丙烯酸乳液MC-102、15%Al(H2PO4)3溶液、0.01%H3BO3、0.01%Zn(Ac)2·2H2O和2%二乙二醇丁醚组分,在不同固化工艺下制备涂层。极化曲线和电导率测试发现300℃处理60 s得到的涂层具有良好的耐腐蚀性和绝缘性;水煮实验证明该涂层具有良好的耐水性;断口线扫描发现涂层具有良好的附着性。 A formula comprising MC-102 acrylic emulsion 25%,aluminium dihydrogen phosphate15%,boric acid 0. 01%,zinc acetate dihydrate 0. 01% and diethylene glycol monobutyl ether 2% was used to prepare coatings via different treatment process. The conductivity test and polarization curves revealed that a coating cured at 300 ℃ for 60 s showed good insulative and anticorrosive properties. The water boiling test indicated that the said coating had good water resistance. A cross section of the coating was in... 

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... 

提出一种基于粒子群优化算法实现的硅钢涂层厚度近红外光谱检测新方法。首先,采用近红外光谱仪采集获得了硅钢表面绝缘涂层的近红外光谱,然后,采用离散粒子群算法筛选出近红外光谱数据的最佳波长变量并组成新的光谱数据,最后,建立涂层厚度的核偏最小二乘定量分析模型。实验显示,所建定量分析模型对检验样本分析的绝对误差范围为-0.12～0.19μm,最大相对误差为14.31%,完全符合现场检验需要。研究表明,离散粒子群算法可以有效地筛选出携带更多有用信息的波长变量,提高定量分析模型的分析准确度和速度,是一种有效的近红外光谱波长筛选方法,同时,近红外光谱法也是一种有效的硅钢绝缘涂层厚度检测方法。 A novel thickness measurement NIR spectrometry for surface insulation coating of silicon steel based on discrete binary particle swarm optimization(DBPSO) algorithm is presented.First,we used NIR spectrometer to collect the NIR spectra of insulation coating of silicon steel,and then,DBPSO algorithm was used to select the optimal wavelength variates and composed a new spectra set.Last,the authors created the thickness quantitative analysis model using kernel partial least square algorithm.The exp... 

利用OM,TEM,EDS与XRD技术,对Fe-3.15%Si低温取向硅钢热轧板不同常化处理后的显微组织、析出相及最终产品的磁性能进行了分析研究,并对热轧板和常化板经过冷轧后的冷轧板织构进行了对比分析.结果表明,采用1120℃保温3 min二段式冷却的常化处理工艺,常化板表层显微组织均匀,沿板厚方向的显微组织的不均匀性显著,对后续过程中形成高取向的Goss织构最有利,取向硅钢的磁性能最高;采用二段式冷却的常化冷却工艺最优,在此冷却工艺下析出的细小的析出物数量最多,且弥散分布在基体中,抑制剂的抑制效果最好,对成品获得高磁性最有利;热轧板、常化板经过冷轧后的冷轧板织构均主要由{111}〈110〉和{111}〈112〉织构组成,但常化板较热轧板冷轧后的冷轧板γ取向线织构密度明显增高,由此可以证实常化处理有助于取向硅钢最终获得高取向的Goss织构. The decreasing of slab heating temperature for grain-oriented silicon steel will reduce the amount of precipitates in hot rolled plate,and be disadvantage to the formation of ultimate Goss texture.The aim of normalizing is to control and adjust the amount,size and distribution of precipitates.Microstructures,precipitates and magnetic characteristics of finished products with different normalizing technologies for Fe-3.15%Si low temperature hot rolled grain-oriented silicon steel are researched,a... 

对两种硅钢水溶性极厚绝缘涂层进行了不同温度的热老化实验。通过TG-DTA,GDS,FT-IR,SEM和光泽度仪等测试方法对老化的涂层进行分析表征,提出了评估硅钢水溶性极厚绝缘涂层热老化性能的合理温度区间,探讨了涂层热老化行为,并分析了两种涂层热老化性能的差异。结果表明,涂层附着性随着老化时间的延长逐渐下降。FT-IR表征结果显示,热老化过程中,涂料交联形成的化学键未发生断裂,交联剂氨基树脂的三嗪环被破坏是聚合物三维网络结构坍塌的主要原因。 Thermal aging expriments at different temperature were carried out on two types of water-soluble and extra-thick insulation coatings for non-oriented silicon steel,and a series of test methods such as glossmeters,TG-DTA,FT-IR,GDS,SEM were applied in analysis.For evaluating the thermal aging effect of this kind of insulation coating,the proper temperature range was proposed.The difference of aging performance between two coatings was been investigated and the related behaviors were been discussed... 

针对新能源汽车的发展，制备了含Ni固溶强化、含Cu析出强化以及含Ni+Cu复合强化3%Si无取向硅钢，研究了强化方式对无取向硅钢组织、织构和性能的影响。结果表明：固溶强化型无取向硅钢热轧板中形成了粗大{221}<221>晶粒，冷轧过程中剪切变形明显并在退火后形成良好再结晶织构。析出强化型无取向硅钢热轧板中心层形成γ取向粗大晶粒，在后续的加工中γ织构逐渐增强并最终得到相对细小的再结晶晶粒。复合强化型无取向硅钢热轧板中保留了强λ取向带状组织，退火后形成了有益的Goss织构和λ织构。固溶强化型与复合强化型无取向硅钢磁感应强度B₅₀分别达到1.742、1.688 T,高于析出强化型无取向硅钢的1.645 T。同时，复合强化型无取向硅钢高频铁损最低，其P_1.0/400和P_{1.0/1 000}分别低至20.97、82.69 W/kg,这与其较小的晶粒尺寸和织构改善有关。强度计算结果表明：Ni元素固溶强化对强度的提高有限，屈服强度为468 MPa,纳米Cu析出可显著提高屈服强度（强度增量约200 MPa）,且主要来自于模量强... For the development of new energy vehicles, 3%Si non-oriented silicon steel were processed by solid solution strengthening with Ni, precipitation strengthening with Cu, and composite strengthening with Ni and Cu. The effects of different strengthening methods on the microstructure, texture and properties of high-strength non oriented silicon steel were studied.The results show that coarse {221}<221> grains are formed in the hot rolled sheet of solution strengthened non-oriented silicon ste...