硅钢资料

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... 

文章以国内某公司硅钢厂连续退火机组1号辐射管加热段为研究对象,分析炉内传热机理,建立并开发了辐射管加热段的传热模型。采用生产实际数据对模型进行了验证,以总燃料消耗量最小为目标,得出该炉段长度方向上燃料的最佳分配机制。所得结论为该公司连续退火机组节能控制提供理论依据。 Taking the radiant tube heating section of No.1 continuous annealing unit in a silicon steel plant of a domestic company as the research object, the heat transfer mechanism in the furnace is analyzed, and the heat transfer model of the radiant tube heating section is established and developed. The model is verified by the actual production data. Aiming at the minimum total fuel consumption, the optimal fuel distribution mechanism in the length direction of the furnace section is obtained. The co... 

针对硅钢连续生产线设备存在的故障、隐患以及精度等影响产品质量的问题进行分析及改造,实现保证生产线设备稳定运行、提高设备精度及硅钢产品质量的目的。 This paper analyzes and transforms the electrical equipment failures, risks existed in slicon continuous production line, and the effect of accuracy to product quality, in order to ensure stable operation of equipment in production line and improve the accuracy of device, quality of silicon. 

试验研究了0.3 mm取向硅钢冷轧板(/%:0.046C,3.07Si,0.09Mn,0.029P,0.004S,0.005A1)的退火温度(760~880℃7 min)和退火时间(820℃3~9 min)对该钢的晶粒尺寸,再结晶和织构的影响。结果表明,最佳初次再结晶退火工艺为820℃5 min,该钢的平均晶粒尺寸为14.20μm,完全再结晶率为92%,不利{111}<110>结构含量为3.16%,有利织构{111}<112>,{012}<001>和高斯织构含量分别0.40%,4.73%和2.46%。 The effect of annealing temperature(at 760 ~ 880 X.for 7 min) and time(at 820℃ for 3~9 min) on grain size,recrystallization rate and texture of 0.3 mm cold-rolled sheet of oriented silicon steel(/%:0.046C,3.07Si,0.09Mn,0.029P,0.004S,0.005Al) has been tested and studied.Results show that with optimum recrystallized annealing at 820℃ for 5 min,the silicon steel average grain size is 14.20 fun,the complete recrystaUization rate is 92%,the unfavourable-texture {111}< 110 > content in steel is ... 

结合工业化生产的无取向硅钢,进行了RH精炼喂CaSi线去除钢中的非金属夹杂物试验研究。针对不同的钙处理条件,分析了CaS夹杂生成热力学,观察了夹杂物的形貌和尺寸分布,确定了夹杂物的类型、数量,探讨了钙处理后钢中夹杂物的变化规律。结果表明,本试验条件下,钙处理可以有效抑制MnS、AlN夹杂物的生成,有效促进钢中微细夹杂物的聚合、上浮、去除,钢质纯净度明显提高。经过合适的钙处理后,钢中的夹杂物以独立存在的CaO为主,同时有少量含CaO、SiO2、MgO的复合夹杂,没有发现CaS夹杂存在。这部分夹杂物的尺寸集中分布在2～20μm,数量约为1.8×105个/mm3。 Experimental study on removal of non-metallic inclusions in non-oriented silicon steel obtained from industrial production by CaSi wire feeding during RH refining process was carried out.The thermodynamics of CaS inclusion formation was analyzed,the morphology and the size distribution of inclusions were observed,and the numbers and types of inclusions were also determined for the steel specimens treated under different calcium treatment conditions.Furthermore,the variation of inclusion characte... 

目的提高硅钢的磁性能。方法采用多弧离子镀技术,在普通取向硅钢薄板两面沉积高硅FeSi合金层制得高硅梯度硅钢,并进行热处理,观察其显微组织,测量磁性能。结果退火态高硅梯度硅钢表面的高硅FeSi合金层与基底结合紧密,均匀致密。高硅梯度硅钢中硅含量呈梯度分布,最表层硅质量分数为11.0%,随着深度增加,硅含量逐渐降低,在距表面20μm处硅质量分数仍能达到6.5%。沉积态高硅梯度硅钢的电阻率ρ、低频铁损P10/50、高频铁损P10/1k及磁感应强度B8分别为68.6μΩ·cm,0.82W/kg,83.3 W/kg和1.73 T,退火后分别为63.1μΩ·cm,0.44 W/kg,54.38 W/kg和1.89 T。结论由于表层高硅FeSi合金层的存在,梯度高硅钢的低频磁学性能良好,但高频损耗需进一步改善。 Objective To improve the magnetic properties of silicon steel. Methods FeSi alloy coatings with high-silicon content were deposited on the surface of common grain-oriented silicon steel by cathodic arc plasma evaporation,and then a kind of high silicon gradient steel was prepared. The morphologies,content and magnetic properties of the samples were tested. Results FeSi alloy coatings were featured with compact microstructures and excellent adhesive quality with the substrates. The silicon conten... 

用还原分离-原子荧光光谱法分析了硅钢中的痕量汞.分析方法的不确定度主要来自测量重复性,样品溶液浓度,工作曲线变动性,标准溶液,移取、配制标准溶液,仪器变动性等.文章分别对上述构成合成不确定度大小的分量进行了计算讨论. Trace mercury in silicon steel and galvanized sheet was analyzed by adopting reduced separation-atomic fluorescence spectrometry.The uncertainty of the analysis method mainly comes from measurement repeatability,sample concentration,working curve volatility,standard solution,pipetting and preparation of standard solution,and instrument variability,etc.The essay conducted all calculations and discussions on the above components that determine uncertainty. 

借助OM、激光共聚焦显微镜、质谱仪和电解萃取等设备和方法，研究了添加微量稀土La（质量分数0.001 1%）的取向硅钢在轧制前采用不同加热保温时间对抑制剂固溶行为的影响。结果表明：当稀土取向硅钢在1 250℃分别保温10、20、30 min后，试验钢晶粒尺寸随保温时间延长有先快后慢的长大趋势；三种抑制剂元素Mn、Cu和Al均发生固溶，保温时间对Mn和Cu两种元素的固溶影响明显，固溶量分别由69.8%和43.7%增加至84.2%和85.2%；随着保温时间的延长，稀土取向硅钢中抑制剂的小尺寸未溶物逐渐减少直至消失，较大尺寸未溶物（300～600 nm）逐渐转变为小尺寸未溶物逐步溶入基体中，数量减少且未溶物的类型由复杂逐渐转变为单一。 In this paper the solid solution behavior of the inhibitor under various holding time in 0.001 1 %La oriented silicon steel during reheating had been investigated by using OM, LM, methods of electrolytic extraction and mass spectrometer. The results showed that grain size of the test steel increased significantly with the holding time prolonging when the rare earth oriented silicon steel was heated to1 250 ℃ and held for 10, 20 min and 30 min respectively, and the growth trend slowed down after ... 

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... 

采用X射线衍射仪分析无取向硅钢冷轧织构和再结晶退火织构的演化,研究了热轧组织对无取向硅钢织构以及磁性能的影响。结果表明,具有均匀、粗大晶粒组织的热轧板,冷轧形成更多的剪切带,导致成品板形成高的高斯织构组分,并提高了{100}织构强度,降低了γ纤维织构,最终导致成品磁感应强度升高,铁损下降。 The texture evolution of non-oriented silicon steel during cold-rolling and recrystallization annealing was investigated by X-ray diffractometer.The effects of hot band microstructure on the texture and magnetic properties of non-oriented silicon steel were analyzed.The results show that more shear bands appear during cold rolling due to homogeneous coarse grain in hot band.So strong{110}<001> texture after recrystallization annealing forms.At the same time,the {100} texture components inc... 

采用磁控溅射方法,分别在纯Fe以及低硅钢基片上沉积富Si膜,并对其进行真空扩散热处理.通过能谱分析及X射线衍射研究了Si在纯Fe与低硅钢基体中的扩散特征,运用DICTRA软件建立了扩散模型.研究发现Si在纯Fe基体中扩散时发生γ-Fe(Si)→α-Fe(Si)相转变,扩散速率受控于相界面的迁移.当沿截面Si含量梯度不足以驱动相界面正向迁移时,延长扩散时间会发生相界面回迁现象,最终趋于单一相内均匀化扩散过程.Si在低硅钢基体中的扩散符合Fick扩散第二定律. Si-rich films were deposited on pure iron and low-Si steel substrates by direct current magnetron sputtering,and then were subjected to vacuum annealing.The distribution characteristics of Si across Fe and low-Si steel substrates were studied by energy spectrum analysis(EDS) and X-ray diffraction(XRD).DICTRA software was used to simulate the diffusion models.It is found that the diffusion behavior of Si in the Fe substrate is from γ-Fe(Si) phase to α-Fe(Si) phase and the rate of diffusion is con... 

采用Nb对Fe-6.5%Si(质量分数)高硅钢进行微合金化处理,结果表明:Nb在高硅钢薄板制备过程中细晶效果明显.铸态、锻态和热轧态组织的晶粒分别细化了17.50%,24.51%和30.13%.铸态样品压缩强度由1365 MPa提高至1520 MPa,延伸率提高77.78%;温轧板试样室温拉伸强度由573 MPa提高至621 MPa,延伸率提高44.44%.利用XRD对厚度为0.30—1.68 mm的温轧板的板面织构演变过程进行跟踪测量,结果发现:初始织构以(011)〈100〉Goss织构为主,单道次变形量为26.2%的情况下,Goss织构完全转化为(100)〈011〉旋转立方织构,随后,在单道次变形为22.6%的情况下,旋转立方织构完全转化为{111}面织构,即纤维织构,并稳定保持至0.30 mm. Fe-6.5%Si（mass fraction） alloy possess perfect magnetic properties,though intermetallics of Fe₁₄Si₂ phase brought 6.5%Si leads to room temperature brittleness and hinder this significant materials industrialization.Nb was adopted into micro-alloying of Fe-6.5%Si high silicon steel. OM,thermal simulated test machine and XRD were employed to study the influence of Nb on high silicon steel in processing stages.Textures of warm-rolled high silicon steel strips were determined b...