所有分类
  • 所有分类
  • 未分类

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. 
2013-05-28 169 5.8

采用自主研发的脉冲磁场退火装置,在取向硅钢脱碳退火过程中分别施加不同强度的磁场,并采用光学显微镜和X射线衍射仪研究了脉冲磁场脱碳退火后试样的显微组织和宏观织构。结果表明,脱碳退火过程中施加脉冲磁场后取向硅钢的平均晶粒尺寸均增加,当磁场强度为40 mT时,平均晶粒尺寸最大,为13.06μm。此外,取向硅钢试样的立方织构{001}<100>强度减弱,高斯织构{110}<001>和{111}<112>织构增强,有利于获得更好的成品织构和磁性能。 Self-developed pulsed magnetic field annealing device was used to apply magnetic field of different intensities during decarburization annealing of an oriented silicon steel, and microstructure and macro-texture of the specimens after decarburization annealing in a pulsed magnetic field were studied by using optical microscope and X-ray diffractometer. The results show that the average grain size of the oriented silicon steel increases with the application of pulsed magnetic field during decarbu... 
2022-02-28 189 5.8

结合冶炼无取向硅钢的生产实际,对钢中硫的来源,以及炉渣性质、钢水温度、底吹强度对脱硫的影响进行了分析。研究表明,转炉钢中硫的主要来源为铁水、废钢、铁水渣及石灰带入;冶炼硅钢时,终渣碱度为3.0~3.5,w((FeO))≤20%,终点钢水温度大于等于1 680℃,加大底吹搅拌强度能提高转炉脱硫效果。硅钢平均出钢硫的质量分数为0.004 8%,能满足无取向硅钢对硫含量的要求。 With the actual production of non-oriented silicon steel,the source of sulphur and the effect of metallugic parameters like slag properties,temperature of molten steel and bottom stirring on desulphurizing ability were investigated.The results show that the main source of sulphur is molten metal,scrap,the remaining slag volume in hot metal and lime.The degree of desulphurization for smelting silicon steel can be increased through adopting the following measures,such as the basicity of finishing ... 
2011-02-28 172 5.8

【作者】 张正贵; 李战库; ...
2013-05-28 142 5.8

结合工业化生产的50A1300牌号无取向硅钢,分析了化学成分、RH精炼脱氧方式、板坯装炉温度以及热轧平整工艺等对磁性能的影响,探讨成品钢磁性能的改善。结果表明,采取改善后,50A1300牌号无取向硅钢的磁性能得到明显改善。2012年,该钢种平均铁损、磁感应强度分别达到5.26 W/kg、1.762 T,能够较好地满足用户市场需求及同行对标需要。 Based on the industrial manufacture of 50A1300 grade non-oriented silicon steel sheets,effects of chemical composition,deoxidization method in RH vacuum refining,charging temperature of steel slabs,hot rolling and flattening progress on magnetic properties are analyzed.The optimization methods of magnetic properties of steels are discussed. Results show that the magnetic properties are obviously improved by the adopted measures above. In 2012,the average core loss and the magnetic induction of 5... 
2014-02-28 198 5.8

利用电子探针面分析、状态分析及电子背散射衍射相分析技术研究硅钢高温氧化铁皮的显微结构。电子探针面分析可以直观的看出元素的分布状态,初步判断氧化铁皮的结构,而状态分析可以准确表征常规氧化铁皮中铁元素的状态,对于合金元素富集区域则通过电子背散射衍射相分析技术来标定。结果表明,高温氧化铁皮的结构主要有4层,即最外层为厚度约为10μm的Fe2O3相,次外层为Fe3O4相,中间层为FeO相上分布有颗粒状的Fe3O4相,最内层为FeO相和Si元素富集的Fe2SiO4相。其中Fe2SiO4层的分布特征与加热温度密切相关:1 100℃时,Fe2SiO4相呈颗粒状,弥散分布在FeO层;1 200℃时,Fe2SiO4相呈液态,侵入基体和疏松的FeO层,且沿着FeO晶界呈网状分布。 The microstructure of high temperature oxide scale on silicon steel was characterized by electron probe microanalyzer(EPMA)mapping analysis,state analysis and electron backscatter diffraction(EBSD)phase analysis.The element distribution and the initial structure of the oxide scale could be detected by EPMA mapping analysis apparently.And the state of iron in the conventional oxide scales could be determined by state analysis.Meanwhile,the alloy-rich region could be identified by EBSD phase analy... 
2014-10-28 193 5.8

研究了传统工艺流程生产的2%Si无取向电工钢在不同退火温度下的磁性能。研究结果表明,随着退火温度的升高,显微组织均匀性提高且晶粒尺寸增大;有利织构组分{100}<0vw>、α、η增强,不利织构组分减弱;成品的铁损P1.5/50先下降后略有上升,磁感B50上升平缓;在890℃×2 min的退火工艺条件下,成品电工钢的磁性能最佳,对应的铁损P1.5/50小于3.2 W/kg,磁感B50高于1.74 T。 In this paper,the effect of annealing temperature on magnetic properties of non-oriented electrical steel with 2% silicon was studied.Results show that the uniformity of microstructure and the average grain size increase with the rise of annealing temperature.The texture components of annealing can be improved by enhancing {100} <0vw>,α,η fiber textures and weakening {111} <112> fiber texture.The tendency of core loss P1.5/50 shows that it decreases first and then increases,while the... 
2013-01-28 147 5.8

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... 
2011-08-28 147 5.8

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... 
2011-01-28 177 5.8

对低温法生产的以AlN为主抑制剂的Hi-B取向硅钢高温退火过程进行了中断实验,借助EBSD及TEM技术对高温退火连续升温过程中织构与析出物的演变进行了研究。实验结果表明,800℃时ODF图出现高斯织构组分,但强度很弱,高斯晶粒偏离角在10°以上;950~1 000℃时高斯晶粒异常长大,偏离角3~6°;高温退火过程析出物主要有球形、规则立方形及不规则多面体形3种形貌,由于渗N的影响,Zener因子先增大再减小,并且析出物在高斯晶界前沿优先粗化。 The annealing process at high temperature of Hi-B silicon steel using low slab reheat temperature and with AlN as the inhibitor has been studied by interrupting test,and the evolution of texture and precipitates during continuous heating-up in the annealing process at high temperature was analyzed by EBSD and TEM. The results showed that Goss texture appears in ODF at 800 ℃,but the intensity of Goss texture was very weak and the deviation angle was more than10°. Goss grains grow abnormally durin... 
2023-05-09 206 5.8

研究了取向硅钢制备过程中常见的两种冷轧工艺,主要研究了一阶段冷轧与两阶段冷轧+中间退火工艺对初次再结晶组织及织构的影响.结果表明:采用两阶段冷轧+中间退火工艺制备以Cu2S为主抑制剂的取向硅钢,其初次再结晶平均晶粒尺寸为18.1μm,高斯晶粒的体积分数为0.6%,迁移性强的重位点阵晶界(Σ5+Σ9)和高能晶界(20°~45°取向偏差角)所占比例分别为1.8%和50.4%.与一阶段冷轧工艺相比,其初次再结晶晶粒较细,且高斯晶核与特征晶界所占的比例较高,有利于高斯晶粒发生二次再结晶. Two common cold-rolling processes of grain oriented silicon steel and the effects of the single stage cold rolling and tw o-stage cold rolling w ith intermediate annealing processes on the primary recrystallization microstructure and texture w ere investigated. The results revealed that for the grain oriented silicon steel prepared under the tw o-stage cold rolling process w ith intermediate annealing w ith Cu 2 S as the main inhibitor,the average grain size of the primary recrystallization micr... 
2014-02-28 172 5.8

采用固溶强化、细晶强化和位错强化方法,模拟TSCR流程试开发高强度无取向电工钢,试开发钢的主要合金成分为3%Si、0.83%Al和2.99%Mn。分析热轧、常化、退火后的钢板组织,并针对不同的成品板组织,详尽地分析了相应的力学性能和磁性能。试验电工钢平均晶粒直径为12.37μm时,R p0.2为530 MPa,R m为618 MPa;当退火制度为700℃×4 min,成品组织完全为未再结晶的回复组织时,R p0.2为853.5 MPa,R m为895.5 MPa。该成分的电工钢P15/50或P10/400最小时,对应的平均晶粒直径都大于59.67μm;P10/800或P10/1000最小时,对应的平均晶粒直径都处于12.37~59.67μm尺寸区间。 TSCR was simulated to develop high-strength non-oriented electrical steel with 3% of Si,0.83% of Al and 2.99% of Mn by solution strengthening,grain refinement strengthening and dislocation strengthening.The microstructures of hot rolled plates,normalized plates and annealed plates were analyzed.Furthermore,the mechanical properties and magnetic properties of products with different microstructures were detailedly studied.As the average grain diameter of the steel was 12.37 μm,the yield strength ... 
2013-04-28 170 5.8

站点公告

网站试运行,请大家关注本站公众号,多提宝贵意见!

显示验证码
没有账号?注册  忘记密码?