钢厂
进入硅钢叠片内的漏磁通和附加损耗的模拟实验与仿真
基于简化的取向硅钢片模型,系统地对不同的交流激励下的硅钢叠片内铁损、交链磁通和空气中指定位置的法向漏磁的分布进行了\"单片级\"的测量,并建立了相应的硅钢叠片级问题的三维有限元分析模型,进行了大规模的数值计算分析。模型实验和数值分析的结果表明垂直进入硅钢片的漏磁通和损耗呈现浅透入的特点,在硅钢片内引起的涡流损耗在总铁损中占据了\"举足轻重\"的份额。用电磁场有限元分析软件MagNet瞬态场时步法计算结果与测量结果相吻合,说明本文方法研究复杂的硅钢叠片问题的有效性。 The measurement and 3D finite element analysis of the iron loss,interlinkage flux inside the laminated silicon steel sheets and the magnetic flux densities at the specified positions are carried out based on a verifying silicon steel sheet model.The modeling results show that the leakage flux vertically through the silicon steel sheets has the peculiarity of shin effect,and the eddy current loss caused by the AC leakage flux is a significant component of the total iron loss.The calculated result...
RH精炼工艺对无取向硅钢MgO·Al_2O_3夹杂物演变影响及控制
基于BOF→RH→CSP生产工艺,研究了RH精炼过程钢中夹杂物类型演变及MgO·Al2O3夹杂物形成规律,同时对MgO·Al2O3夹杂物的形成条件进行了热力学计算,借助CFD数值模拟软件研究了RH精炼过程卷渣行为。研究发现,RH精炼过程20和30 min时,w([MgO])/w([Al2O3])为0.005~0.020,未发现MgO·Al2O3夹杂物;RH出站后夹杂物w([MgO])/w([Al2O3])为0.3~0.5,且RH精炼结束后MgO·Al2O3夹杂物占夹杂物总量的58.4%;另外,RH精炼过程钢液表面速度CFD模拟结果为0.57 m/s,大于临界卷渣速度0.45 m/s,且顶渣成分与夹杂物成分相近,存在卷渣现象。热力学计算表明,钢液与炉渣平衡时钢中w([Al])为0.31%~0.37%,w([Mg])为0.00024%~0.00028%,在MgO·Al2O3生成区域之内。减少RH处理过程卷渣,浇铸过程下渣及控制顶渣和包衬相中MgO质量分数可抑制MgO·Al2O3夹杂物形成。 Based on the practical production of non-oriented silicon steel, the evolution of inclusion type and the formation of MgO·Al2O3inclusion were analyzed in the process of BOF→RH→CSP. The thermodynamic conditions for forming MgO·Al2O3inclusion were discussed and the behavior of slag entrapment of molten steel was also simulated by CFD software during RH refining. The results showed that the value of w([MgO])/w([Al2O3]) was in the range of 0.005-0.020 and no MgO · Al2O3 inclusion was observed at 20 ...
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...
新能源车电机用硅钢选材分析
为了提升新能源车用驱动电机的功率密度,各大电机厂商都在不断地提升电机转速,随之而来的问题就是电机的铁耗也在不断增高,如何降低电机铁耗成为了电机厂商必须要解决的难题。本文讨论了电机铁耗的组成部分及影响因素,并对1台8极48槽的永磁同步电机分别使用3种不同厚度的材料进行仿真,对比其效率及铁耗分布,推导出驱动电机中硅钢厚度、铁耗及成本的关系,最后对驱动电机选材提出建议。 In order to increase the power density of traction motor for new energy vehicles,major motor manufacturers have been constantly increasing the motor speed.The following problem that manufacturers have to solve is how to reduce the increasing iron loss when the motor speed is increased.The components and influencing factors of motors’ iron loss were discussed in this paper,and an 8-pole 48-slot permanent magnet synchronous motor using three different thickness materials was simulated.To compare i...
电工钢RH脱硫渣系研究
针对攀枝花钢钒有限公司难以稳定生产w(S)≤0.006%高级别电工钢的问题,通过开发RH脱硫剂、钢包渣改性及工艺参数控制,形成了RH脱硫系统工艺技术。经工业试验表明,采用该工艺技术后,钢水脱硫率最高达到42%,成品w(S)控制在0.005%以下,全氧、氮含量也得到了较好的控制,且脱硫剂没有引起钢水增碳,满足高级别电工钢的生产要求。 In light of the difficulty of production of high level electrical steel w(S)≤0.006 % steadily in Panzhihua steel & vanadium Co.,Ltd.the process technology of RH desulfurization system has been formed by developing the RH desulfurizer,modifying the ladle slag and controlling the process parameters.Industrial experiments show that the desulfurization rate of hot metal rises to 42 % and the w(S) of the finished products is controlled in below 0.005 % and total oxygen and nitrogen contents are a...
6.5%Si高硅钢铸锭凝固组织的CAFE法模拟研究
应用CAFE法对6.5%Si高硅钢铸锭凝固组织进行了模拟研究,确定出了适合高硅钢组织模拟的模型。进一步用该模型研究了过热度及冷却条件对凝固组织的影响,结果表明,随着过热度的降低,凝固组织中柱状晶比例和晶粒平均面积均减小。水冷条件下,高硅钢铸锭凝固组织几乎全是柱状晶,而且晶粒粗大。空冷条件下,等轴晶区扩大,但柱状晶仍占主要部分。缓冷条件下,等轴晶区占主要部分,晶粒平均面积和空冷条件下相当。 The solidification structure of 6. 5% Si steel ingot was simulated based on CAFE method and the model suitable for simulating the structure of high silicon steel wad ascertained. The influence of superheat and cooling condition on the solidification structure were studied. It was shown that with the superheat decreasing,the proportion of columnar crystals decrease,and the average grain size become smaller. Under water cooling condition,the solidification structure of casting was composed of almo...
无取向硅钢热轧卷结疤缺陷产生的原因及控制
针对不同牌号的无取向硅钢产生结疤缺陷的难易程度和表面结疤缺陷的外形特征及分布规律,分析了该缺陷产生的原因。通过调整剪前导板的对中度,设置精轧侧导板开度余量及短行程数值,及时修补与更换侧导板,减少带坯与侧导板挤撞程度,有效地降低了结疤缺陷发生率。 This article analyses the cause of the scab defects according to the defects appearance characters and distribution law,degree of difficulty to form scar of non-oriented silicon steel. It can effectively decrease the scabs by different methods,such as adjusting the center line of guide plate,setting the opening margin and short stroke value of the side guide on finishing mill,timely repairing and replacing of side guide,decreasing the collision between the strip and side guide.
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...

