硅钢资料

6.5%Si电工钢是一种优异的软磁材料,织构对其磁性能影响很大。利用温轧工艺对6.5%Si电工钢热轧板进行不同压下率轧制,研究了温轧板织构随压下率的变化规律。实验结果显示,随着压下率的增大,{100}〈110〉、{110}〈100〉和γ纤维织构在薄板表层中的强度先增强后减弱,当压下率达到75%时,沿板厚方向形成3个组织区域:表层细晶粒区({110}〈100〉取向为主)、过渡层({111}〈110〉和{111}〈112〉变形晶粒区)和中心层(以拉长的γ纤维织构和{100}〈110〉取向晶粒为主),这种组织和织构不均性对后期织构的发展有重大影响。 6.5wt% Si electric steel has excellent soft magnetic properties,on which texture play important role.In this experiment,warm rolling technique was employed to investigate the effect of rolling reduction on texture.It was found that the density of {100}〈110〉,{110}〈100〉 and γ-fiber textures first increased and then decreased with increasing of the rolling reduction.At 75% reduction,the microstructure along the thickness of the sheet formed three zones,containing surface layer with {110}〈100〉 orien... 

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... 

利用OM、SEM、TEM等实验方法研究了卷取工艺对一种新型含铜无取向电工钢晶粒度和析出相的影响。结果表明,该电工钢热轧带卷取后的晶粒尺寸为18～24μm,在卷取过程中,热轧带中有一定数量的第二相析出,经EDS能谱及选区电子衍射分析,这些析出相主要为AlN。随着卷取工艺的变化,该电工钢的晶粒度大小变化不明显,析出相的类型、尺寸大小不发生改变,体积分数发生一定的改变。 The effects of coiling process on grain size and precipitates of a new copper-bearing non-oriented electrical steel were investigated by OM,TEM and other experimental method.The results show that the grain size of hot-rolled bands after coiling is 18～24 μm.The second phases precipitate during coiling process.They are mainly AlN by EDS spectra and selected area electron diffraction.With the change of coiling process,the grain size of the electrical steel does not change significantly;the type and... 

研究了无取向硅钢钙处理前后夹杂物的行为,重点考察了钙处理前后夹杂物的成分、类型、形貌和尺寸研究的变化情况,为实际生产中无取向硅钢的钙处理提供理论指导。试验发现:钙处理前夹杂物主要以Al2O3、Al2O3-MgO为主,且在夹杂物表面有AlN析出,钙处理后夹杂物以Al2O3-MgO-CaS-CaO系复合夹杂物为主,还含有少量的SiO2或AlN;钙处理前后,夹杂物形貌由多边形或不规则形逐渐向球形或近似球形转变,并且夹杂物尺寸不断增大;钙处理前后,含钙夹杂物的比例发生突变,由10%增大到74.5%,且随着钙处理时间的延长,含钙夹杂物比例下降,表明钙处理使夹杂物变性后易聚集长大并上浮去除。 Behavior of inclusions before and after calcium treatment in non-oriented silicon steel was researched by investigating changes of compositions,types,shapes and sizes of inclusions before and after calcium treatment,for the purpose of providing theoretical guidance for calcium treatment of non-oriented silicon steel in actual situation. Results indicated that Al2O3 and Al2O3-MgO were main types of inclusions before calcium treatment,sometimes AlN maybe precipitate in the outer of inclusions. Al2... 

通过固溶度积公式计算及热模拟实验,对不同热装和加热温度条件下的无取向硅钢铸坯中析出相进行了研究.在低于950℃热装时,铸坯中AlN的析出量和尺寸不再变化,但MnS和AlN-MnS的数量及平均尺寸随着热装温度降低而进一步增加,并在温度低于600℃时达到最大值后保持不变.与1200℃相比,1100℃加热的铸坯中AlN、MnS的总固溶量相对更少.相比850℃热装,600℃热装再加热到1100℃的铸坯中AlN和MnS的总固溶量更少,且AlN和MnS尺寸更大.合适的热装温度和加热温度分别为600℃和1100℃. Based on solubility product calculation and thermal simulation experiments,precipitated phases in continuous casting slabs of non-oriented silicon steel were systematically studied at different hot charging and heating temperatures.When the hot charging temperature is below 950 ℃,the content and size of AlN remain unchanged,but the quantity and size of MnS and AlN-MnS increase when the hot charging temperature decreases,reach maximum and remain unchanged when the hot charging temperature is belo... 

【作者】 谌剑； ...

【作者】 刘彤； ...

本文以热轧常化板为初始材料,采用二次冷轧法与三次冷轧法制备了0.1 mm厚的取向硅钢薄带,测定相应的磁性能,并通过EBSD取向成像技术检测了二次冷轧法与三次冷轧法各工艺过程中织构与组织演变规律。结果表明,采用最终冷轧压下率适中的三次冷轧法,能在冷轧至0.1 mm时保存较多的高斯晶核,使得高温退火后的磁性能明显优于二次冷轧法。最终冷轧压下率通过影响脱碳退火后样品中的{111}<112>织构组分及Goss晶粒数量对最终二次再结晶产生重要影响。 Grain-oriented silicon steel sheets with a thickness of 0. 1 mm were produced from hot-rolled and normalized sheets by two-step-rolling and three-step-rolling methods. Their magnetic properties were measured,and the textures were detected by EBSD technique. The results show that the three-step-rolling method,which has a moderate reduction rate of final cold rolling,can maintain more { 110} < 001 >nucleus,and thus obtaining better magnetic properties compared with the two-step-method. The f... 

【作者】 马芳； 张春红； ...

介绍了烟气余热利用系统的工艺流程及控制思想,结合该系统在钢厂硅钢连续退火机组中的应用实践,估算出烟气余热利用系统每年可节约蒸汽5 040 t,经济效益良好,同时分析了该系统存在的问题及对策。 Introduced a method about the process and control of the application of waste heat system, which had been used into a silicon steel continuous annealing line and profiting a good economic benefit by saving a large number of steam every year, which has been estimated about 5 040 tons, and analyzed the problems and solutions existed in this system. 

无取向硅钢中夹杂物的存在会抑止晶粒生长,使基体的均匀连续性中断,其在钢中的形态、含量及分布情况都不同程度影响着硅钢的性能,尤其是对磁性能起关键的作用。因此,全尺度分布考察夹杂物对无取向硅钢夹杂物的研究极为重要。本实验确定了适用于不同牌号无取向硅钢夹杂物全尺度分布的分析方法:样品制备—小样电解—过滤喷金—根据不同牌号的要求选择合适的放大倍率扫描观测—夹杂物颗粒的分类统计。通过统计的结果,结合电解的失重量可以得到不同尺度的体积分布数据。实验分析了不同牌号和工艺无取向硅钢夹杂物的种类、形貌、大小和尺度分布,并初步考查了夹杂物与磁性能的关系,对无取向硅钢的工艺研究具有一定参考价值。 Inclusions in non-oriented silica steel could inhibit the growth of grain and cause discontinuity of micro-structure.The configuration,content and size distribution of inclusion have different effects on the performance of silica steel,especially significant on the magnetic property.Therefore,it is very useful to completely characterize inclusions with full size distribution in silica steel.In our research,full size analysis method for inclusion in silica steel had been established as follows: s... 

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...