硅钢资料

采用扫描电镜、场发射扫描电镜、能谱仪等对50SW1300冷轧无取向硅钢中的夹杂物分不同尺寸区间进行数量统计,利用主成分回归分析法,即数据的标准化处理—主成分分析—回归分析—标准化的变量还原成原始变量—确定显著影响因素,综合分析夹杂物总量及各尺寸区间的夹杂物数量对无取向硅钢磁性能的影响。结果表明:主成分回归分析能够从夹杂物尺寸区间及数量的多个影响因素中提取主要的因素,定量研究其对磁性能的影响。分析表明,显著影响无取向硅钢铁损的夹杂物为100~500nm的AlN、AlN+MnS、MnS、Al2O3、AlN+Al2O3,而劣化磁感最明显的夹杂物尺寸区间为100~200nm。 Different size intervals of inclusions in cold rolled non-oriented silicon steel 50SW1300 were counted by scanning electron microscope(SEM),field emission scanning electron microscope(FESEM)and energy disperse spectroscopy(EDS).With principal component regression method:standardization for experimental data,principal component analysis,regression analysis,transform standardized variables into original variables,determination of significant factor,effects of the total number of inclusions and the... 

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... 

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... 

利用X-射线衍射织构分析和线形分析技术测定了交叉轧制双取向硅钢在制备工艺各阶段的织构及微结构,进而探讨了立方织构({100}<001>)的形成过程。通过对实验结果的分析可知,二次冷轧和交叉轧制工艺为立方织构提供了内能优势和有利的形变织构,而低温预退火工艺既强化了立方织构的内能优势,又为立方织构的异常长大提供了有利的组织保证,最终在抑制剂(AlN和MnS)的协同作用下,硅钢在二次再结晶退火后形成了强烈的立方织构。 The texture and substructure of the double oriented electrical steels produced by the cross rolling technology during the difference process has been measured by means of the X-ray texture and diffraction peak profile analysis technology,and research the formation mechanism of cube texture,{100}<001>.The results show that the dominances of inner energy and deformation texture were supplied by secondary cold rolling and the cross rolling technology and strengthened by pre-annealing at a low... 

提出一种基于粒子群优化算法实现的硅钢涂层厚度近红外光谱检测新方法。首先,采用近红外光谱仪采集获得了硅钢表面绝缘涂层的近红外光谱,然后,采用离散粒子群算法筛选出近红外光谱数据的最佳波长变量并组成新的光谱数据,最后,建立涂层厚度的核偏最小二乘定量分析模型。实验显示,所建定量分析模型对检验样本分析的绝对误差范围为-0.12～0.19μm,最大相对误差为14.31%,完全符合现场检验需要。研究表明,离散粒子群算法可以有效地筛选出携带更多有用信息的波长变量,提高定量分析模型的分析准确度和速度,是一种有效的近红外光谱波长筛选方法,同时,近红外光谱法也是一种有效的硅钢绝缘涂层厚度检测方法。 A novel thickness measurement NIR spectrometry for surface insulation coating of silicon steel based on discrete binary particle swarm optimization(DBPSO) algorithm is presented.First,we used NIR spectrometer to collect the NIR spectra of insulation coating of silicon steel,and then,DBPSO algorithm was used to select the optimal wavelength variates and composed a new spectra set.Last,the authors created the thickness quantitative analysis model using kernel partial least square algorithm.The exp... 

通过对3%Si CGO硅钢进行恒变形速率、不同变形温度下的单道次压缩实验,结合Thermal-Calc软件,金相分析,SEM及EBSD技术,研究了取向硅钢热变形过程中组织和微观织构的变化规律。结果表明:实验钢是在双相区变形,变形后组织主要是铁素体和少量的珠光体。随变形温度的升高,晶粒由长条状变为等轴状,尺寸逐渐变大;CGO硅钢在热变形过程中立方{100}<001>取向是较为稳定存在的。随着变形温度的提高,{111}<110>等取向逐渐转向{110}<1 10>取向,且{110}<1 10>取向逐渐变得锋锐。 3% Si CGO silicon steel was studied at constant strain rate and different deformation temperatures by single-pass compression deformation experiments to reveal the evolution of microstructure and texture during thermal deformation in oriented silicon steel,and the Thermal-Calc software,metallurgical,SEM and EBSD technique was used in the experiment. The results show that experimental steel is deformed at the temperatures of two-phase zone. The microstructure of the deformed steel consists of fer... 

取向硅钢常化工序主要采用现场实测带钢温度的方式测定冷却速率，并通过稳定冷却水温、调整冷却水量及喷梁运行数量等方式保证合理的冷却速率，给常化工艺设计和生产带来诸多不便。通过对常化工艺水冷过程带钢的传热分析求解，在建立带钢水冷温度模型的基础上，研究了不同冷却工艺参数对带钢温度及冷却速率的影响规律以及冷却工艺的交互作用结果。结果表明：模型计算结果能够较好地反映取向硅钢在常化水冷过程中的温度及冷却速率的变化，其计算误差为0.80%～4.11%;在特定取向硅钢厚度规格和常化工艺下，随着常化冷却水量及有效冷却长度的增加，带钢水冷温度及冷却速率与呈非线性变化；常化水冷工艺主要通过调控带钢与冷却水之间热交换量和交换时间实现对带钢温度的控制，实际生产中需综合考虑机组速度、冷却水量及有效冷却长度之间的交互作用，选定喷梁投入数量和冷却水量以获得稳定的冷却速率。 The cooling rate of normalization process mainly determined by measuring the grain oriented silicon steel strip temperature on site, and ensures the cooling rate by stabilizing the cooling water temperature, adjusting the cooling water volume and the operation quantity of spray beam, which brings inconvenience to the normalization process design and production. Based on the heat transfer of strip in the water cooling section of normalization process, the water cooling temperature model for the n... 

为进行磷酸盐系无铬无取向硅钢涂层烧结固化工艺研究,首先对磷酸盐系无铬无取向硅钢涂层进行热重-差示扫描量热(TG-DSC)分析;然后在不同烧结固化温度条件下,测定涂层板温随时间变化曲线;最终获得涂层烧结固化温度与时间(T-t)工艺曲线。通过中性盐雾试验、动电位极化、交流阻抗、涂层附着力以及扫描电子显微镜(SEM)和能谱(EDS)分析验证。结果表明,根据涂层烧结固化温度与时间(T-t)工艺曲线制备的涂层结构致密、性能优异,证明该工艺曲线具有合理性与正确性。 In order to study the curing process of chromium-free non-oriented silicon steel coatings,phosphatic chromium-free non-oriented silicon steel insulating coating was prepared and TG-DSC analysis of the coating was conducted,then the change of the actual temperature of the coated non-oriented silicon steel sheet with time at different curing temperatures was studied. Based on the experiments,the processing curves of curing temperature vs. curing time( T-t) for the chromium-free non-oriented silico... 

借助实验室设备研究了B元素对高牌号无取向硅钢热轧板组织和磁性能的影响。结果表明,与无硼钢相比,含硼钢的热轧板晶粒尺寸略小,析出物的类型和尺寸没有区别,主要是AlN和(AlN+MnS)复合析出物,少量的MnS析出物,尺寸集中在1.0～2.5μm范围内。未发现BN析出物。在力学性能方面,B对钢的软化作用不明显。在磁性能方面,含硼钢的铁损为3.215W/kg,磁感为1.710T,综合磁性能比无硼钢差。 Influences of boron on microstructure and properties of hot rolled band in high-grade non-oriented silicon steel are researched in this paper by experimental equipments.Compared with boron-free steel,the result shows that boron-bearing steel has smaller grain size,but the type and size of precipitations have no differences.The main precipitates are AlN,(MnS + AlN) composite precipitate and few MnS,the range of which are between 1.0 μm and 2.5 μm.BN precipitation is not found.With reward to mecha... 

采用取向分布函数分析了无取向电工钢不同再结晶退火温度下的织构变化及织构对磁感应强度和铁损的影响,并计算了无取向电工钢的磁晶各向异性能。结果表明,随着实验钢的再结晶退火温度升高,Goss织构和立方织构组分显著增强,而{111}面织构强度却减弱。较高的退火温度有利于减小织构因子,提高磁感应强度。磁晶各向异性能计算结果显示,随着再结晶退火温度升高,无取向电工钢板的磁晶各向异性能降低。 The recrystallization texture and the relationship of texture to magnetic induction intensity and core loss of a non-oriented electrical steel were investigated by orientation distribution function analysis. The magnetic anisotropy energy of the steel was calculated also. The results show that,the intensity of Goss texture and cubic texture increases,but the intensity of { 111} texture decreases with increasing recrystallization annealing temperatures of the steel. The higher annealing temperatu... 

以马鞍山钢铁集团公司电工钢板形优化控制研究项目为背景,系统地研究了热轧、冷连轧和单机架轧机在电工钢生产过程中的边缘降控制问题。通过现场数据采集、工况数值模拟计算和工业化大生产试验,设计出适用、合理的电工钢板形控制的辊型优化曲线,满足了不同工序、不同机型的板形控制策略要求,解决了电工钢板形质量问题,取得了显著的经济效益。 Based on the project of electric steel strip shape optimization control,problem of edge drop control was systematically studied in production of electric steel of hot-rolling mill,cold-rolling mill and single stand mill.Roll optimization contour was designed out in point and reasonable by collection of work condition data,numerical simulation and test of industrial production.The shape control system can meet with the different working steps and difference mills,and quality problem of electric s... 

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...