硅钢资料

对无取向电工钢中的夹杂进行了系统的分析。利用小样电解,采取不同电解液,不同的分离方法对无取向电工钢中稳定和不稳定夹杂物进行了提取、分离和收集。利用扫描电镜(SEM)、X-射线衍射、ICP等对电解分离收集的夹杂物进行了定性和定量分析。 The inclusion analysis of the non-oriented electrical steel has been investigated.By using small sample electrolytic analysis,with different electrolytes and different separation ways,the stable inclusions and unstable inclusions was drew,separated,and collected.With utilizing the methods of SEM,X-ray and ICP,the qualitative and quantitative analysis of inclusions in the non-oriented electrical steel was obtained. 

硅钢是钢铁产品中的\"工艺品\",是高附加值产品,通过对我国主要硅钢生产厂家的工艺设备,市场情况分析,简要介绍了我国硅钢生产消费现状,未来生产能力预测及硅钢未来发展趋势。 Silicon steel is the \"crafts\" of steel products,also is high value-added product.By analyzing process equipment and market condition of major silicon steel-making plant of China,it briefly introduces our current production consumption status,future production capacity prediction and future development trend of silicon steel. 

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... 

概述了无抑制剂法生产取向电工钢的特性及其用途;总结无抑制剂生产取向电工钢的原理及工艺方案.重点讨论了成分方案,即元素对磁性能的影响和最终高温退火方案对二次再结晶的影响.研究结果表明,无抑制剂取向硅钢化学成分范围没有普通取向硅钢和高磁感取向硅钢严格,提高了成材率;最终高温退火决定了二次再结晶的好坏,从而最终决定成品磁性能,最佳的高温退火温度在850～950℃之间. This article provides an overview on the characteristics and uses of inhibitorless process producing grain-oriented electrical steels.The mechanism of inhibitorless process and technology programs were discussed.The results show that the chemical composition and final annealing were determined according to magnetic properties.The inhibitor-free grain oriented silicon steel has loose range of chemical composition;Secondary recrystallization occurs mainly in the final annealing and the best anneal... 

通过对辉光放电发射光谱法分析电工钢样品光谱行为的研究,分析其工作参数如:电压、电流、预溅射时间和积分时间对光谱强度和稳定性的影响,并以铁为内标元素,优化了工作参数。确定了直流辉光放电光谱法测定电工钢中碳、硅、锰、磷、硫、铬、镍、铜共8种元素的定量分析方法,并对该方法分析的精密度和准确度进行验证,结果表明,各元素的测定结果与认定值和其他方法测定值一致,测量元素结果RSD值小于2%。 Based on research on analyzing the spectrum behavior of the sample taken from the electrical steel by glow discharge optical emission spectrometry,the effect of its operational parameters such as current,voltage,pre-sputtering time and integrating time on the spectral intensity and spectral stability is analyzed.Taking the Fe as an element applied by internal standard method,these operational parameters are optimized,and therefore the quantitative analysis method for testing eight kinds of eleme... 

电动汽车电机在高速旋转时承受离心力和电磁力的作用,在进行电机转子设计时,既要考虑电磁性能,还要考虑机械性能。对电机转子受力情况进行了综述,分析了转子用电工钢疲劳性能参数的重要性,详细阐述了试样抛光、表面处理、试样的对中和安装对测试结果的影响。 The motor of electric vehicle bears big force for high speed rotors,mainly including centrifugal and electromagnetic forces.The magnetic and mechanical aspects of the electrical steel are crucial to machine design.In this paper,the forces applied on the motor were summarized and importance of fatigue properties was analyzed.The influence of specimen polish,surface treatment,alignment and installation on fatigue testing result were represented in detail. 

针对宝钢硅钢常化退火过程中产生的退火炉辊印缺陷问题,通过实际生产的大数据与产品质量问题相结合,将数据挖掘、数据分析方法应用到实际,一定程度上解决了现场实际生产中的痛点,为现场生产提供决策支撑,避免了以前通过人工识别判定存在疏漏和无法定量判断的问题,形成了一套具有鲁棒性和可操作性的钢铁生产过程数据分析方法。通过智慧决策系统平台获取实际生产和表检仪数据,基于Pearson相关系数算法进行变量挑选和特征工程,并应用随机森林算法对数据建立分类预测模型,实现了质量问题的溯源和监控,通过数据量化预测了炉辊印缺陷是否可通过轧制消除的质量问题,识别准确率达到96.43%。 In views of the normalizing annealing furnace roll marks problem occurred in the process of normalizing annealing of silicon steel in Baosteel,by combining big data from actual production with product quality problems,data mining and data analysis methods were applied to actual production to solve the pain points and provide decision support,a robust and practical data analysis method for the steel production process has been developed,which avoided the previous problems of omission and non-quan... 

对碳-锰-硅钢进行不同配分温度的Q&P(Quenching and Partitioning)处理,测试了热处理后不同钢的力学性能和残余奥氏体含量,并用扫描电子显微镜和透射电镜观察其显微组织,分析了配分温度对显微组织和力学性能的影响。结果表明:试验钢显微组织基本由低碳板条状马氏体、块状铁素体和条状残余奥氏体组成;随配分温度的升高,试验钢的抗拉强度呈下降趋势,伸长率与奥氏体含量的变化趋势相同,但变化规律不确定;提高锰含量能稳定残余奥氏体,从而提高试验钢的伸长率,并使伸长率对配分温度不敏感。 The C-Mn-Si steel was quenched and partitioned at different partitioning temperatures,the mechanical properties and residual austenite contents were investigated,the microstructure was observed by SEM and TEM,and the effect of partitioning temperature on microstructure and mechanical properties was analyzed.The results show that the microstructure of the tested steel consisted of lath martensite with low carbon,nubby ferrite and banded residual austenite.The tensile strength of the tested steel ... 

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... 

【作者】 王爱华； ...

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...