钢厂
400mm硅钢自动轧制试验轧机
西安重型机械研究所为武钢开发了目前国内第一台自动化水平较高的先进可靠的硅钢热轧试验轧机。本文介绍了该轧机的工艺参数、设备组成,技术特点及轧制流程,该轧机在规定的终轧温度范围内,实现了2.5 m/s的快速轧制速度,保证了控制系统准确及时的采集到轧件进出轧辊时的信号,缩短道次间隙时间,实现了自动控制,保证了产品板形及精度的高水平要求,对于硅钢尤其是对其取向硅钢新产品、新工艺的开发具有深远意义。 An experimental prototype of 400 mm silicon steel hot rolling mill was developed by Xi’an Heavy Machinery Research Institue for Wu Gang.The technological parameters,configuration and characteristic of advanced control system in the experimental prototype are introduced in detail.The experimental prototype was realized the fast rolling of 2.5 m/s in the range of specified rolling temperature.Its automatic rolling control system can acquisite the signals that a rolled piece enters in and exits fro...
基于不同B-H曲线的取向硅钢叠片中损耗和磁通的分析与验证
基于TEAM(Testing Electromagnetic Analysis Methods)Problem 21基准模型和不同类型的磁化曲线Bm-Hm及Bm-Hb数据,分别在50 Hz至200 Hz的频率范围内计算了基准模型的硅钢叠片内的损耗及磁通,并考虑集肤效应和材料的电-磁各向异性的影响。数值计算结果与实验测量结果具有很好的一致性。提出的有限元建模方法和基于模拟结果的分析、结论有助于提高大型电力变压器的电磁设计的有效性。 Based on TEAM(Testing Electromagnetic Analysis Methods) Problem 21 standard model and the different B-H(such as Bm-Hm and Bm-Hb) curves,the iron loss and magnetic flux inside the grain-oriented(GO) silicon steel lamination are modeled under different frequency(from 50 Hz to 200 Hz) in this paper,And the influences of skin effect and electric-magnetic anisotropy on the numerical simulation results have been examined.The calculated and measured results with respect to the model are in good agreeme...
退火温度对2%Si无取向电工钢磁性能的影响
研究了传统工艺流程生产的2%Si无取向电工钢在不同退火温度下的磁性能。研究结果表明,随着退火温度的升高,显微组织均匀性提高且晶粒尺寸增大;有利织构组分{100}<0vw>、α、η增强,不利织构组分减弱;成品的铁损P1.5/50先下降后略有上升,磁感B50上升平缓;在890℃×2 min的退火工艺条件下,成品电工钢的磁性能最佳,对应的铁损P1.5/50小于3.2 W/kg,磁感B50高于1.74 T。 In this paper,the effect of annealing temperature on magnetic properties of non-oriented electrical steel with 2% silicon was studied.Results show that the uniformity of microstructure and the average grain size increase with the rise of annealing temperature.The texture components of annealing can be improved by enhancing {100} <0vw>,α,η fiber textures and weakening {111} <112> fiber texture.The tendency of core loss P1.5/50 shows that it decreases first and then increases,while the...
硅钢脱硫影响因素分析研究
对RH法(真空循环脱气法)生产的冷轧硅钢的脱硫原理及影响因素进行了分析研究。研究表明:降低顶渣中FeO、MnO的含量,提高钢液温度,增加脱硫剂的加入量并延长其循环时间有利于提高脱硫效率。 The principles of desulfurization and its influence factors of cold rolling silicon steel during RH process have been studied in this paper.The result indicated that reducing contents of FeO and MnO,rising temperature of the liquid steel,increasing quantity of desulfurizer,lengthening cycle time of desulfurzer are benefit for desulfurization.
低温普通取向硅钢高温退火过程中高斯晶粒的演变
对低温加热工艺生产的普通取向(common grain-oriented,CGO)硅钢的高温退火过程进行了中断实验,材料为含3.0%Si、0.5%Cu、0.009 8%S(均为质量分数)的以Cu2S为主抑制剂的普通取向CGO钢。原始板坯厚度为230 mm,于1 200℃均热后经4道次粗轧、7道次精轧至2.3mm;热轧板采用两次冷轧法轧至0.3mm,中间完全脱碳退火,最后于1 200℃高温退火。最后样品的磁性能:铁损P17/50为1.182W/kg,磁感应强度B8为1.897T。借助配有EDAX OIM电子背散射衍射(EBSD)系统的ZEISS SUPRA 55VP扫描电子显微镜,对高温退火过程中高斯晶粒的演变进行了研究,结果表明:升温过程中晶粒尺寸增长缓慢,650℃时取向分布函数(ODF)图出现高斯织构组分,但强度很弱,高斯晶粒偏离角小于9°;950℃时高斯晶粒平均生长速度超过其他晶粒;950~1 000℃时高斯晶粒异常长大,偏离角降至约3°;在950℃之前高斯取向晶粒相比于其他晶粒没有尺寸优势。 The high-temperature annealing process of common grain-oriented(CGO)silicon steel was investigated by interrupting test.The samples were rolled from CGO silicon steel slab under low reheating temperature.The CGO silicon steel,taking Cu2S as the main inhibitor,contains3.0%Si,0.5%Cu,and 0.0098%S.The original casting slab is 230mm in thickness.After 1 200℃reheating,four-pass rough rolling and seven-pass finish rolling were conducted to make the thickness of the slab get to 2.3mm.Then the hot rolled...
卷取工艺对新型冷轧无取向电工钢组织性能的影响
研究了卷取工艺对一种新型含铜无取向电工钢晶粒尺寸、织构演变、铁损和磁感应强度的影响。结果表明,试样织构组分主要为{111}、{112}、{100}和高斯织构,在550℃卷取、保温2～3h,{100}织构有增强趋势,磁感应强度较高,铁损较低。 The effects of coiling process on grain size,texture,core loss and magnetic induction of a new cold rolled non-oriented electrical steel with copper were investigated.The results show that there are mainly {111},{112},{100} and {110}<001> texture.Coiling at 550℃and keeping for 2～3 hours,the {100} texture is enhanced,magnetic induction is higher and core loss is lower.
微合金元素对冷轧取向电工钢再结晶行为的影响
以取向电工钢成分为基础,制备了含C或Mn和S的4种实验钢。观察了接近平衡析出状态实验钢经60%冷轧后在600～1000℃范围再结晶退火过程中微观组织演变,统计分析了再结晶体积分数随退火时间的变化规律,进而计算了各实验钢静态再结晶的激活能。观察了高含C实验钢退火初期再结晶晶粒优先出现的部位。结果表明900～1000℃范围内各实验钢铁素体的化学成分相似,因而其再结晶激活能基本一致。在600～800℃范围内铁素体内会有阻碍再结晶进程的三次渗碳体析出,从而使再结晶激活能明显提高。高C含量实验钢中还会有从奥氏体转变而来的粗大珠光体或渗碳体,轧制过程中其附近形成的变形区会促进600～800℃加热时该区域附近率先发生再结晶形核、降低再结晶激活能。固溶的Mn、S元素可微弱提高再结晶激活能,但高Mn、S含量会改变粗渗碳体从奥氏体析出时的形态。 Four experimental steels based on grain oriented electrical steel containing C,or Mn and S were prepared.Microstructure evolution of the steels close to a state of equilibrium precipitation were observed during annealing processes at 600-1000 ℃after 60% cold rolling,the changes of recrystallization volume fraction were analyzed statistically as the annealing was prolonged,and the activation energy for static recrystallization of the steels were calculated.The locations,where the recrystallizatio...
硅钢连续退火机组的节能措施
针对硅钢连续退火机组的主要能源介质消耗现状,对现有生产工艺和设备研究采取机组循环用水、增加清洗段漂洗级数等措施可节约大概27 m3/h的过滤水量,并可减少78%的弱碱处理量;将炉子烟气换热系统增加一级余热回收,每年回收的余热相当于583 t标煤消耗,可节约蒸汽5 368 t。 The present situation of energy consumption for silicon steel annealing line is analyzed in this paper.In existing process and equipment conditions,increasing the number of cleaning series will lead to a saving of about 27 m3/h of filter water and reduce 78 % of weak base processing volume.For the flue gas heat-exchange system,adding a waste heat recovery device will recover waste heat equivalent to 583 tons of standard coal per year,corresponding to a saving of steam 5 368 t per year.
云边一体化系统架构下硅钢制造管理业务数字化融合应用
提出以“云边一体化架构”构建硅钢智慧决策系统，来解决原硅钢制造L1～L5系统架构模式下的数字信息孤岛、业务功能割裂等问题。在此基础上，开发了云边协同的自学习型控制模型及业务决策模型，构建起硅钢“智慧大脑”，形成了以研发、制造、服务等核心业务数字化融合的智能化决策支持新模式，探索出一条钢铁制造业数字化、智能化转型之路。 SIDS(Silicon-steel Intelligent Decision-making System)based on \"cloud-edge integration architecture\" was proposed to solve the problems of data silos and business function fragmentation in the original L1～L5 system architecture.On this basis,the self-learning control model and decision-making model of cloud-edge collaboration were developed,the \"smart brain\" of silicon steel department was constructed,and a new intelligent decision-making support model of digital integration of core businesses s...
