钢厂
Al含量对2.2%Si无取向硅钢组织、织构和磁性能的影响
通过实验室25 kg真空感应炉冶炼和锻轧研究了0.26%~0.95%Al含量对0.5 mm 2.2%Si无取向硅钢冷轧板组织、织构和磁性能的影响。试验结果表明,0.26%~0.81%Al含量时,随钢中Al含量的增加,成品退火钢板的晶粒尺寸增加同时铁损减少;当Al含量大于0.81%时,随Al含量增加,钢板的晶粒尺寸减小,同时铁损增加。Al含量对硅钢板磁感的影响没有明显的规律。2.2%Si无取向硅钢的合适Al含量为0.48%~0.81%。 The effect of 0.26%~0.95%Al content on structure,texture and magnetic performance of 0.5 mm cold rolled sheet of 2.2%Si non-oriented silicon steel has been studied by a 25 kg vacuum induction furnace smelting,and forging -rolling in laboratory.Results show that as 0.26%~0.81%Al,with increasing Al content in steel the grain size of annealed finished sheet increases while iron loss of sheet decreases,and as Al content in steel is more than 0.81%,the grain size of sheet decreases while iron loss in...
取向硅钢成品晶粒的位向测定方法
取向硅钢成品的晶粒尺寸非常大,其易磁化方向[001]晶向对于轧向的偏差角度对其磁性能影响极大。本文介绍了取向硅钢二次再结晶后成品晶粒位向的几种测定方法,包括侵蚀法、劳厄法、OIM法、极图法和非对称X射线衍射法等,并对这几种测量方法进行了比较。 The finished product of grain-oriented silicon steel has immense grain size ranging from millimeters to centimeters and the deviation angles of easy magnetization direction from rolling direction plays a remarkable role in magnetic properties of grain-oriented silicon steel.The methods in common use for determining the deviation angles of crystal direction are introduced,which include the etch-figure method,the Laue method,the OIM method,the pole figure method and the asymmetrical X-Ray diffract...
国外采用板坯低温加热工艺生产Hi-B取向电工钢最新进展
根据新日铁、JFE及浦项等国外钢铁公司2008年以来在日本专利局、欧洲专利局(EP)及世界知识产权组织(WIPO)申请公开的有关生产Hi-B取向电工钢典型专利技术,概述了近年来国外大型钢铁企业采用低温板坯加热(坯加热温度<1 280℃)技术生产Hi-B取向电工钢主要技术重点,即将调节关键化学成分Al、N、Sn及Sb等与工艺改进相结合。最后介绍了国外大型钢铁企业采用低温板坯加热技术生产Hi-B取向电工钢实例。 The latest developments on technology for manufacturing Hi-B grain oriented electrical steel sheets developed by Nippon Steel Corp.,JFE Steel and POSCO were described according to the patents published by World Intellectual Property Organization,Japan Patent Office and European Patent Office over the recent years.The low temperature slab heating process(particularly slab-heating temperature<1 280 ℃) together with suitably adjusting key chemical elements such as Al,N,Sn and Sb elements was the...
本钢高硬度无取向电工钢50BW600的研发
目前随着电工钢用户冲压设备的升级,冲压速度逐步提高,对电工钢产品的硬度和强度指标提出了更高的要求。与普通硬度级别的无取向硅钢相比,高硬度50BW600的Hv硬度提高15~20,达到125以上,同时对电磁性能指标也有较高要求。本钢通过化学成份和热轧及冷轧连退生产工艺的设计,经过小批量生产试验,满足用户要求。通过对工艺的严格控制,在大批量生产过程中,保证了产品的力学性能和电磁性的检验合格率。 Currently with upgrading of stamping equipment of silicon steel user, gradually increasing of stamping speed, propose higher demand for hardness and strength of silicon steel. Compared with conventional 50BW600, high hardness 50BW600 have higher hardness, reach greater than 125Hv. Through design of chemical composition with hot mill and annealing, production test of small quantities, stamping performance meet user request.
脱碳温度和脱碳时间对CGO取向硅钢碳含量控制的试验研究
通过测试取向硅钢不同工艺条件下的碳含量,探讨了CGO取向硅钢碳含量控制的最优处理条件,研究了脱碳温度和脱碳时间对相同初始碳含量取向硅钢的脱碳效果的影响。结果表明,在气氛为(15%~20%)H2+(75%~80%)N2,炉压差为10~20 Pa的条件下,CGO取向硅钢合适的脱碳温度为1 073 K~1 123 K,脱碳时间为10~20 min。在该处理条件下,能取得较好的脱碳效果。 By means of testing carbon content of oriented silicon steel below the distinct technical conditions,inquires the excellent handle terms of carbon content controlling for CGO oriented silicon steel,studies effects of decarburization annealing temperature and decarburization annealing time to the oriented silicon steel decarburization efficiency in same initial carbon content.The results show that,under the condition of atmosphere(15% ~ 20%) H2+(75% ~ 80%)N2 and furnace pressure difference 10 ~ 2...
EBSD技术在硅钢织构研究中的应用
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.
冷轧生产线硅钢激光辅助切割有限元模拟
研究了激光加热辅助圆盘剪高速切割技术,以解决现有冷轧生产线硅钢切边技术存在的微裂纹、应力、毛刺和边浪等问题。建立了激光加热温度场有限元分析模型,根据生产线上圆盘剪加工的实际过程,探讨了数值模拟中热源的加载形式,研究了激光对板材进行辅助加热时各个工艺参数如激光功率、光斑尺寸以及激光入射角度对切割工艺的影响,并通过实验对工艺参数进行了优化。最后,进了验证实验。实验结果显示:当激光加热点运动至圆盘剪刃口位置时,温度为100℃左右,此时材料硬度降低到原有硬度的70%~80%,降低了切削力,减少了圆盘剪的磨损,可有效提高圆盘剪的寿命。 Laser assisted trimmer side cutting technology was studied to overcome the problems such as micro cracks,stress,burrs and edge waves existing in a cold rolling production line of silicon steel side cutting.A finite element analysis model for the laser hearting temperature field was established, the loading form of a heating source was determined and influences of various processing parameters like laser powers,spot sizes,and laser incident angles on laser assisted heating sheet materials were di...
火花源原子发射光谱法测定取向硅钢中碳硅锰磷硫
通过试验确定氩气分析流量为3.5L/min,静态流量为0.75L/min,冲洗时间为3s,预燃时间为12s,积分时间为5s的激发条件,采用火花源原子发射光谱法测定取向硅钢中碳、硅、锰、磷、硫。分别采用铣床铣样、砂轮磨样两种制样方式进行了精密度考察,发现制样方式对结果影响不大;讨论了取向硅钢样品中碳、硅、锰、磷、硫测定时可能存在的共存元素干扰,发现硅对锰元素的干扰不可忽略,采用干扰系数法进行了校正,据此拟合得到各元素校准曲线的相关系数均在0.999 0以上。精密度考察结果表明,碳、硅、锰、磷、硫的相对标准偏差(n=10)在0.71%~9.4%之间。对两块取向硅钢生产样品进行分析,并与钢铁研究总院进行比对分析,结果一致,且偏差均在允许范围内。 Carbon,silicon,manganese,phosphorus and sulfur in oriented silicon steel were determined by spark source atomic emission spectrometry.The selected excitation conditions were as follows:the analytical flow rate of argon was 3.5L/min,the static flow rate was 0.75L/min,the flush time was3s,the precombustion time was 12sand the integration time was 5s.Two sample preparation methods,including milling machine and grinding wheel,were investigated.The precision test results showed that,the determination...
大数据技术在硅钢产品质量管控中的应用实践
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...

