钢厂
高硅钢温轧过程压下率及中间退火对组织、织构的影响
传统轧制法制备6.5wt.%高硅钢过程中温轧工艺具有显著不同于3 wt.%Si的电工钢的特点及组织织构特征,是开发新型基于织构优化的高硅钢的关键环节。采用EBSD技术对通过热轧、温轧、冷轧及退火工艺制备0.3mm厚的6.5wt.%Si电工钢板的组织和织构进行分析,重点研究温轧过程中的中间退火和大、小压下率组合以控制织构。结果表明,在热轧退火板是部分再结晶组织的情况下,一次性温轧或先小形变量、中间退火后再大形变量的工艺可得到更多的Goss晶粒;经过最终退火后Goss取向会发生偏转,形成部分黄铜取向,而{111}〈112〉取向的晶粒内形核生成近Goss取向的再结晶晶粒;大压下量轧制是最终组织中{111}取向晶粒较多的主要原因。 Warm rolling,a key process of developing new type high-Si electrical steel based on texture optimization,has significant different characteristics from 3wt% Si steel in conventional preparing process. 0. 3mm thickness 6. 5wt. % Si steel,obtained by a series of processes including hot and warm rolling,intermediate annealing and then cold rolling,was analyzed from microstructure and texture by EBSD,which are utilized mainly for investigating the intermediate annealing process and the combination o...
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...
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...
常化对含硅1.6%的无取向电工钢组织和织构的影响
研究了常化对CSP流程生产的wSi=1.6%的无取向电工钢组织、织构和成品磁性能的影响。结果表明,经CSP流程生产,且在相同的冷轧及退火制度下,经1 000℃×2min常化处理的wSi=1.6%的无取向电工钢热轧板,其最终退火成品的铁损P15/50比不常化试样下降了10.5%,磁感B50比不常化试样提高了2.5%;常化使wSi=1.6%的无取向电工钢成品的平均晶粒尺寸增大,成品铁损P15/50相应减小;同时,常化使wSi=1.6%的无取向电工钢成品中高斯织构的强度增加,γ纤维织构的强度减弱,这有利于成品磁感B50的提高。 The effect of normalizing on microstructure,texture and magnetic properties of non-oriented electrical steel with wSi=1.6% produced by CSP process was investigated.The results show that,under the same cold rolling and annealing system,the iron loss(P15/50) of annealed samples whose hot bands has been normalized by 1 000 ℃×2 min process decreases by 10.5% and magnetic induction(B50) increases by 2.5% compared with the samples whose hot bands was not normalized.The average grain size of non-orient...
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 ...
低牌号无取向电工钢磁时效行为分析
选取了三种50W 800无取向电工钢,分析了化学成分、晶粒尺寸、织构、以及200℃时效处理48 h前后的磁性能和第二相粒子析出状态的变化。结果表明,钢板中第二相粒子的分布密度对钢板铁损有最重要的影响。降低钢中C、N元素含量,或改进钢板热加工参数以降低成品钢板中第二相粒子形成元素的过饱和度均有利于明显降低钢板磁时效过程中的铁损增幅。钢板中对磁性能有利的织构也有利于降低钢板铁损的时效幅度。 The evolution of chemical composition,grain size,texture,as well as magnetic property after aging treatment at 200 ℃ for 48 h and distribution of second phase particles precipitation in three selected 50W800 non-oriented electrical steels were analyzed.The results show that the distribution density of second phase particles has great influence on core loss.Reducing C and N content,or improving hot-working parameters to reduce the supersaturation of elements forming second phase particles in prod...
基于爱泼斯坦方圈组合和损耗加权处理技术的取向电工钢磁性能扩展模拟
提出了一种基于爱泼斯坦方圈族(包括标准25cm爱泼斯坦方圈、缩比的17.5cm和20cm爱泼斯坦方圈)和二级加权处理方法对爱泼斯坦测试数据,包括有效磁路长度、比损耗、励磁功率,进行处理的晶粒取向电工钢磁性能扩展模拟方法。详细地考察了励磁频率、试样剪切角度和环境温度对爱泼斯坦方圈测量结果的影响。研究结果表明,利用本文提出的爱泼斯坦方圈组合以及二级加权处理技术,可以有效地建立取向电工钢损耗模拟模型,从而更加准确地确定了取向电工钢的损耗,改善并提高了爱泼斯坦磁性能测试数据的应用价值。 The extended modeling of the magnetic properties of GO(grain oriented) electrical steel is presented in this paper which is based on a set of standard and scaled-down Epstein frames and a proposed two-level weighted processing of Epstein data, including the mean magnetic path length, specific magnetization loss and exciting power. The effects of excitation frequency, strip angle and ambient temperature on the results obtained from the Epstein frames are investigated. It is shown that using the p...
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...
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...
常化和退火工艺对冷轧无取向硅钢高频磁性能和强度的影响
冷轧无取向硅钢(/%:0.003C,2.35Si,0.22Mn,0.011P,0.002S,0.36A1,0.003 0N)经890℃或940℃3 min常化的2.3 mm热轧板冷轧成0.35 mm薄板。研究了常化温度和800920℃3 min退火对该钢高频(400Hz)磁性能和抗拉强度的影响。结果表明,830920℃退火时高频铁损P10/400值最低,随退火温度增加,晶粒尺寸增大,钢的抗拉强度降低;该钢的最佳热处理工艺为常化温度940℃,退火温度830℃,其抗拉强度Rm、高频铁损P10/400和磁感应强度J50分别为565 MPa,21.5 W/kg和1.69 T。 The cold-rolled non-oriented silicon steel(/%:0.003C,2.35Si,0.22Mn,0.011P,0.002S,0.36A1,0.003 0N) is cold-rolled to 0.35 mm sheet from 2.3 mm hot-rolled plate normalized at 890 ℃ or 940℃ for 3 min.The effect of normalizing temperature and annealing process at 800 920 °C for 3 min on high frequency(400 Hz) magnetic properties and tensile strength of the steel has been tested and studied.Results show that with annealing at 830 920 ℃the high frequency iron loss value P10...

