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介绍了国内无底层取向电工钢生产技术水平、产量和用途,简述了无底层取向电工钢作为取向电工钢超/极薄带母料及应用于制作大型发电机组铁心、风电等电机铁心和变压器铁心等的情况。 The production technology level,output and application of domestic glassless grainoriented electrical steel were introduced,and the application of glassless grain-oriented electrical steel as parent material of ultra-thin strip of grain-oriented electrical steel and in making large-scale electric generator cores,wind power motor cores and transformer cores were briefly described. 
2022-02-28 192 5.8

根据本发明的一个实施例的双取向电工钢板,以重量%计,所述钢板包含Si:2.0至4.0%、Al:0.01至0.04%、S:0.0004至0.02%、Mn:0.05至0.3%、N:0.01%以下且0%除外、C:0.005%以下且0%除外、P:0.005至0.15%、Ti:0.001至0.005%、Ca:0.0001至0.005%和Mg:0.0001至0.005%,余量包含Fe和其他不可避免的杂质,具有从{100}<001>起15°以内的取向的晶粒的面积分数为60至99%,具有从{100}<025>起15°以内的取向的晶粒的面积分数为1至30%。
2020-12-17 191 6.8

本发明提供了一种超低铁损无取向硅钢薄带,以质量百分比计,其成分包括C≤0.005%,Si:3.5~4.0%,Mn:0.1~0.3%,Als≤0.005%,P≤0.05%,S≤0.005%,Cu≤0.08%,N≤0.003%,Sn:0.04~0.08%,其余为Fe及不可避免杂质,所述硅钢薄带中Mn与S的含量比Mn/S≥50,所述硅钢薄带厚度为0.3‑0.4mm。本发明还提供了一种超低铁损无取向硅钢薄带的制备方法。本发明提供的一种超低铁损无取向硅钢薄带,具有高磁感、低铁损等优良性能,且其制备工艺流程短、容易实现、生产效率高、生产成本低、节能降耗明显。
2021-12-14 191 6.8

本发明公开了一种改善高牌号无取向硅钢表面色差缺陷的方法,属于冷轧卷板表面质量改进技术领域。所述方法为:将连铸坯依次进行热轧、常化、酸洗、单机架轧制和连续退火工序,其中按重量百分数计,所述的连铸坯含有如下成分:C<0.003%、Si1.6~2.0%、Mn0.35~0.65%、Al0.35~0.65%、P<0.02%、S<0.0025%、余量为Fe和其他不可避免的杂质元素,所有成分合计100%;其中热轧工序的卷取温度为620~640℃。本发明所述方法能够降低带钢表面氧化铁厚度并改变带钢表面氧化铁结构,改善高牌号无取向硅钢表面色差缺陷。
2021-03-25 191 6.8

本发明提供一种以热轧卷为单元观察时具有在长边方向整个长度上均匀的织构,磁特性的变动小的取向性电磁钢板的制造方法。上述取向性电磁钢板的制造方法,包括如下步骤:将具有规定的成分组成的钢坯热轧而制成热轧板,将上述热轧板退火而制成热轧板退火板,对上述热轧板退火板实施1次或者隔着中间退火的2次以上的冷轧而制成最终板厚的冷轧板,对上述冷轧板实施一次再结晶退火和二次再结晶退火;至少1次冷轧的总压下率为80%以上,并且利用连轧机进行,利用上述连轧机的至少一个机架进行的轧制在压下率为30%以上且上述机架的工作辊的咬入温度T0℃的条件下进行,其中,将上述热轧板退火板的前端和尾端中的一方或两方的上述工作辊的咬入温度设为70℃以上且比上述钢板的温度T0℃高10℃以上的温度。
2021-06-28 191 6.8

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... 
2014-09-28 191 5.8

采用光学显微镜和X射线衍射仪研究了常化退火处理对无取向硅钢热轧板和成品退火板显微组织和织构的影响。结果表明:常化退火处理消除了热轧板中的变形组织,促使变形晶粒完成再结晶;常化退火处理使高斯织构和立方织构易通过再结晶在变形带内形核和长大,可显著降低成品退火板的{111}和{112}不利织构组分的占有率,提高{100}和{110}有利织构组分的占有率,从而有利于提高无取向硅钢成品板的磁性能。 The effect of normalizing annealing treatment on microstructure and texture of non-oriented silicon steel hot rolled plates and final products were investigated by means of optical microscope and X-ray diffractometer analysis.The results show that the deformed microstructure of the hot rolled plates transformed into recrystallized grain after normalizing annealing treatment.The grains of Goss texture and cubic texture crystallographic orientation were formed and grown by recrystallization in the... 
2013-02-28 191 5.8

采用铸坯低倍组织检验和化学分析的方法,研究板坯连铸机二冷区电磁搅拌器电流和频率参数对无取向电工钢XG800WR板坯中心偏析和等轴晶率的影响,结果表明:铸坯等轴晶率随着搅拌器电流强度和电流频率的增大而增加。采用二冷区电磁搅拌可减小中心易偏析元素S的偏析,试验得出:减小铸坯S偏析效果最好的电磁搅拌参数为电流380~400A,频率6Hz。 The effect of electromagnetic stirring current and frequency parameter at secondary cooling area on the central segregation and equiaxed crystal ratio of XG800WR non - oriented electrical steels slab was investigated through the methods of chemical and macrostructure analysis.The results shows that the rate of equiaxed crystal zone is going up with increasing of current intensity and current frequency.Electromagnetic stirring in the secondary cooling area can be easily reduced segregation caused... 
2011-01-28 191 5.8

本实用新型涉及一种取向硅钢氧化镁线涂层装置,尤其涉及一种取向硅钢氧化镁涂层线用冷涂辊,具有涂层辊本体及包覆在涂层辊本体外层的橡胶涂层;涂层辊本体内部为空腔结构,空腔结构内通有循环冷冻液。本实用新型涂层辊内部设计成空腔结构,并通过循环冷冻液对涂层辊进行冷却降温,既可以达到通过涂层辊对氧化镁进行降温的目的,从而满足工艺要求,防止质量缺陷的产生,还可延缓涂层辊因反复摩擦生热造成橡胶层老化,从而延缓涂层辊使用寿命。
2021-12-18 191 6.8

结合工业化生产过程中出现的同卷带钢头、尾磁性能差异现象,对50SW1300牌号无取向硅钢同卷带钢头、尾试样的夹杂物、晶体织构和显微组织进行了分析研究。结果表明,夹杂物、晶体织构是影响成品钢卷磁性能的重要因素。夹杂物是造成同卷带钢头、尾铁损差异的主要原因。夹杂物数量越多,尤其是小尺寸的夹杂物数量越多,对成品带钢的磁性能影响越大,对于本试验而言,AlN和MnS是影响成品带钢磁性能的主要夹杂物。晶体织构是造成同卷带钢头、尾磁感应强度差异的主要原因。有益的{100}和Goss织构含量越大,有害的{111}<110>和{111}<112>织构含量越小,即有益织构与有害织构含量比越大,成品带钢的磁感应强度越大。 Based on the industrial manufacture of non-oriented silicon steel sheets 50SW1300, the magnetic property variation of head and tail of the same finished steel sheets was discussed by analyzing non-metallic inclusion, crystal texture, and microstructure. Results show that, both of the non-metallic inclusion and the crystal texture will affect the magnetic properties significantly. The non-metallic inclusion is the key factor of the core loss variation of head and tail of the same finished steel s... 
2014-05-28 190 5.8

通过对激光粒度分析仪测量硅钢级氧化镁(MgO)的分析条件进行优化,如分散介质、分散方式、样品预处理、仪器暗淡度等,探讨了硅钢级MgO粒度范围测量重现性较好的试验方法,满足硅钢生产过程控制对MgO粒度的要求。 The analysis condition of the laser particle size analyzer on grain oriented silicon-steel grade magnesium oxide is optimized,including the dispersion medium,dispersion methods,sample preparation,and instrument obscuration,etc.Therefore,particle size measurement with good reproducibility for silicon-steel magnesium oxide is discussed,which may meet the requirement of MgO particle size for silicon-steel process control. 
2011-02-28 190 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... 
2022-01-28 190 5.8

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