钢厂
硅钢车间ST机组粉尘调质与除尘系统改造
针对某硅钢车间ST机组的除尘系统除尘效率较低、排放浓度不达标、二次污染较严重的问题,通过现场调研,对除尘系统、含尘气体组分与物性参数等进行测试和分析,运用管道伴热技术改善粉尘黏性后,再选取合适的除尘器对粉尘进行除尘处理,大大地提高了系统的除尘效率。 To solve the problems of low dust removal efficiency, substandard emission concentration and severe secondary pollution, some investigations are conducted to test and analyze the dust removal system,dust-gas composition and relevant physical parameters.Moreover, dust removal efficiency is greatly improved by the use of pipe heat tracing technology and by choosing appropriate dust remover.
热轧原料断面轮廓对冷轧硅钢尺寸精度的影响分析
根据现场实际的生产控制情况,指出了热轧原料断面轮廓缺陷以一定的比列遗传给了冷轧带钢,分析了不同热轧原料断面轮廓对冷轧电工钢尺寸精度的具体影响,提出了相应的规律。并阐明了严格控制热轧原料断面轮廓形貌,对保证冷轧电工钢尺寸精度具有重大意义,对于中国现行的冷轧电工钢生产具有指导意义。 Based on the actual situation of production control,it was pointed out that the section profile defects of hot-rolled raw materials were geneticed to the cold-rolled strip.The specific impact analysis for the profile of different hot-rolled raw materials to the dimensional accuracy of cold-rolled silicon steel was analyzed.As a result, the corresponding orderliness are given;And the strict control to section profile of the hot-rolled material is of great significance to ensure the dimensional ac...
二次冷轧中间退火对基于CSP工艺的取向硅钢组织及织构的影响
在实验室模拟CSP工艺条件下制备了取向硅钢,研究了二次冷轧中间退火工艺对组织和织构的影响。结果表明,中间退火温度对取向硅钢脱碳,高温退火组织及织构均产生明显影响。经940℃中间退火后,取向硅钢脱碳再结晶晶粒较850℃中间退火的多,且再经高温退火处理后,晶粒粗化,最大晶粒尺寸达4.8 mm;高斯织构组分密度达27.00,较850℃中间退火试样高。 Grain-oriented silicon steel was prepared by simulated CSP technology in laboratory. Effects of secondary cold-rolled intermediate annealing on microstructure and texture were studied. The results show that intermediate annealing has obvious effects on the microstructure and texture of the steels after decarburization annealing and high temperature annealing. After intermediate annealing at 940 ℃,recrystallized grain of decarburization annealed steel is more than that of intermediate annealed at...
抑制剂成分对取向硅钢夹杂物析出及磁性能的影响
利用FE-SEM、EDS分析了含不同抑制剂成分的成品取向硅钢中夹杂物的组成和形貌,统计其尺寸及数量分布;结合对磁性能测试的结果,分析了Sn、Cu、Nb和Cr对取向硅钢磁性能影响的机理。结果表明:含Sn的取向硅钢试样中夹杂物主要为块状的微米级Al-Ti-C-N-O复合物,还有少量的球形Al-N-O颗粒和块状Ti-C-N-O颗粒,棒状夹杂物较少;含Cr的取向硅钢试样中夹杂物主要为球形的微米级Al2O3,还有少量Cu-Al-N-O-S复合物,棒状夹杂物和不规则夹杂物均较少;含Cr试样中1~3μm夹杂物的平均尺寸较含Sn试样小,但数量多,而大于3μm夹杂物的平均尺寸较含Sn试样大,但数量很少。磁性能测试结果表明,外场为800A/m和2500A/m时,含Cr试样磁感应强度偏低,铁损值P1.7/50较含Sn试样高,为1.171W/kg。 The composition and morphology of inclusions in the finished grain-oriented silicon steels are analyzed by using FE-SEM and EDS, and the number density and size distribution of the inclusions are counted. The influence mechanism of Sn, Cu, Nb, and Cr on the magnetic properties of the steel is also discussed. Results show that the inclusions composition in the grain-oriented silicon steel samples containing Sn is mainly block Al-Ti-C-N-O, compounding with a few spherical Al-N-O and block Ti-C-N-O...
电工钢冶炼过程中硫含量控制
介绍了攀钢冶炼电工钢过程硫含量变化以及过程回硫、增硫情况,采取针对性措施,如:提高铁水装入量、转炉采用石英砂代替复合造渣剂造渣、RH脱硫等,降低钢中硫含量。结果表明:采取相应措施后,电工钢炼成率大幅提高,成品w[S]≤0.008%的比例由改进前的62%提高到92.4%,取得了明显的冶金效果。 The resulfurization and the change of sulphur content in production of electrical steel is analyzed.The targeted measures have been taken,such as increase the loaded quantity of liquid iron,quartz sand replaces the composite slagging agent in the converter and RH desulfurization to decrease the sulphur content of the steel.The result shows,after the measures have been taken,the finished product ratio of electrical steel increase a lot.The ratio of sulfur content of finished product no more than ...
基于人工神经网络-遗传算法的取向硅钢刻痕工艺优化
为了优化激光刻痕降低取向硅钢铁损的工艺,寻找刻痕速度、脉冲能量、扫描间距等重要刻痕参数的最佳匹配关系,提出了一种基于人工神经网络与遗传算法的优化模型,并利用这种模型对30Q130取向硅钢材料的刻痕工艺进行了优化实验,结果表明,这种模型稳定可靠,可以作为取向硅钢刻痕工艺优化的一种有效的措施。 A laser is often considered to scribe the grain-oriented silicon steel surfaces after cold-rolling and annealing to reduce the core loss.It is necessary to select the best scribing parameters to maximize the reduction in this process.This paper proposes an optimization method of genetic algorithm during laser scribing of 30Q130 steel,by developing an artificial neural network prediction model using a database form a designed orthogonal experiment.The objective is to determine the best combinatio...
典型半工艺电工钢产品M660-50K5生产及应用技术解析
对欧盟市场汽车压缩机专用产品进行技术解析,对比分析了其电磁性能、退火和发蓝处理、物理性能、化学成分、应用特点等参数。探讨国内外电工钢产品应用方式的不同特点,并结合鞍钢自身工艺装备和炼钢、热轧、冷轧工艺参数介绍了其生产可行性。提供了冶金工艺流程下,后工序电工钢专业生产线及传统冷轧系统生产线两种生产方式,均能满足用户最终使用要求。 The technology of automotive compressor accommodation manufacture of European Economic and Monetary Union market was described.The magnetic properties,annealing bluing,physical properties,chemical composition,application parameters were analysed.The different characteristics of the application of electrical steel products,the feasibility of manufacture on the existing technology and equipment,steelmaking,hot rolled,cold rolled technical parameters were discussed.The professional product line of ...
高硫硅钢的硫化物析出行为及其微观组织和电磁性能变化
为了弄清楚高硫硅钢中的硫化物析出行为及其对钢的微观组织和电磁性能的影响,以便为工业化生产制定更为合理的硫含量控制标准和采取更为有效措施减轻炼钢生产的硫含量控制压力,结合0.25% Si 无取向硅钢 ,采用非水溶液电解提取 + 扫描电镜/透射电镜观察相结合的方法 ,研究了0.006 8%、0.010 2%、0.025 5% 和 0.035 3% 硫含量条件下,钢中的硫化物夹杂物组成和存在形式及其形貌、种类、尺寸、数量变化,以及相应的热轧、成品试样的微观组织和电磁性能变化。结果表明,随着钢中硫含量的增加,钢中的硫化物逐渐由 MnS→MnS+Cu2S→Cu2S转变,数量逐渐增多,尺寸向高低两个方向发展。相应地,导致热轧再结晶组织劣化和抑制了成品晶粒尺寸长大。随着钢中硫含量的增加,钢的磁感、铁损劣化程度逐渐增大。钢中的硫含量平均每增加 0.01%,涡流损耗、磁滞损耗分别劣化0.24 W/kg 和 0.41 W/kg,而磁感会劣化 0.009 T。但是 ,在硫含量为 0.010 2% 时 ,铁损可以低于 6.0W/kg,而在硫含量为 0.025 5% ... In order to find out the precipitation behavior of sulfide inclusions and the corresponding changes of microstructure and electromagnetic properties of high sulfur silicon steel sheets, so that to design more suitable sulfur concentration controlling limit for industrial manufacture and to release the steel-making difficulty effectively, Based on the change of given sulfur concentration 0.006 8%, 0.010 2%0.025 3% and 0.035 3%, the type and composition, the size and number, and the size distribut...
硅钢常化退火炉气-雾冷却技术及其特点分析
常化快冷是生产高牌号无取向硅钢和高磁感取向硅钢不可缺少的一个工艺环节,气-雾冷却则是实现常化快冷的关键方式之一。介绍了国内自主设计建设的常化酸洗机组气雾冷却系统的技术特性,并对其特点进行了系统分析,最后给出该系统在设计、运行参数的选择上若干注意事项,对气-雾冷却系统设计和使用具有一定的指导作用。 The normalizing rapid cooling is a indispensable process to high grade non-oriented silicon steel and high magnetic induction oriented silicon steel’ s production. The fog cooling is a key ways of coming true the normalizing rapid cooling. This paper introduces the technical features of the fog cooling system in normalizing pickling line which is the domestic independent design and construction. Meanwhile,the fog cooling system’s characteristic is analyzed systematacially. In the end,this paper ...
常化工艺对Si的质量分数为1.6%的无取向电工钢磁性能的影响
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...
无取向硅钢C6厚涂层性能的影响因素
本文介绍了无取向硅钢C6涂液的性能,研究了配水量、固化程度和涂层厚度等因素对无取向硅钢C6涂层性能的影响。结果表明,随着配水量的增加,完全固化所需的时间增加,涂液固体含量降低,涂层厚度减小;随着固化程度的提高,涂层硬度先增大然后趋于恒定,而柔韧性逐渐变差,在过固化后急剧恶化;涂层厚度对涂层的表面外观、附着性和绝缘层间电阻均有显著影响。 Based on the introduction about the performance of C6 varnish for non-oriented silicon steel sheets,effects of water amount,curing degree and coating thickness are discussed. Results show that with the increase of water amount,the time required to cure completely extends,and both the solid content of C6 varnish and the coating thickness decrease. As the curing degree increases,the hardness of the coating increases first and then tends to be constant,however the flexibility degenerates,especially...

