钢厂
Fe-6.5%Si高硅钢的性能及制备技术
Fe-6.5%Si高硅钢是一种具有高磁导率、低矫顽力和低铁损等优异软磁性能的合金,但是其室温脆性和低的热加工性能严重影响了其在工业领域的应用。综述了Fe-6.5%Si高硅钢的性能,评述了合金的改性法、特殊轧制法、快速凝固法、沉积扩散法、粉末冶金法等制备工艺。 It is well known that 6.5%Si high silicon steel is one kind of soft magnetic materials with higher re-lative permeability,lower coercive force and iron loss than those of conventional industrial silicon steel.However,their room-temperature embrittleness and poor workability limit their practical applications in the industry.The pre-paration technique such as modification treatment on alloy,special rolling,rapid solidification,CVD and powder me-tallurgy is reviewed.
含核壳异质结构6.5% Si高硅钢铁芯的制备与磁性能
以构建高磁感、低铁损、免轧制高硅电工钢铁芯为出发点,提出采用单辊甩带制备非晶铁硅合金薄带、微氧化法在铁硅合金粉末表面包覆高电阻率铁硅氧化物薄膜制备核壳异质结构高硅电工钢纳米粉末、放电等离子烧结快速成形制备颗粒间绝缘的高硅电工钢铁芯。研究了不同氧化包覆时间对SPS烧结试样密度、物相组成、微观结构和静磁性能的影响。研究表明,在氧化包覆5h烧结温度800℃工艺条件下,制备的6.5%Si高硅电工钢铁芯的静磁性能最佳,饱和磁化强度为128.84A.m2/kg、矫顽力为2.25kA/m、剩磁为3.47A.m2/kg。其饱和磁化强度与粉末压延法制备的高硅钢相当,但矫顽力降低了1/3。 The paper takes preparation 6.5%Si steel with high induction,low core loss and removing rolling as the starting point,amorphous Fe-Si ribbons was synthesized by melt spinning method,6.5%Si steel nanopowders with high resietivity core shell structure was prepared by the slight oxidation process and 6.5% Si steel iron core with evaluating internal was sintered by spark plasma sintering process(SPS).The essay focuses studies the effects of different oxidation cladding time on sample density,phase c...
预退火温度对高磁感取向硅钢初次再结晶织构的影响
对高磁感取向硅钢冷轧板分别进行800、950、1050和1120℃不脱碳的预退火处理,在800℃预退火,成品的磁性能较好。织构分析的结果表明,随着预退火温度升高,初次再结晶后有利织构组分{111}<112>与不利织构组分(118)[110]的比值f(111)/f(118)逐渐降低,初次再结晶织构的变化是成品磁性的影响因素之一。 Preliminary annealing process at different temperatures for cold-rolled strips of a high permeability grain-oriented silicon steel was investigated to study the effect of the annealing temperature on microstructure and magnetic performance of the steel.Results show that the magnetic performances of the products annealed at 800 ℃ are best.Analysis of primary recrystallization texture indicates that with rising temperature,f(111)/f(118) which is the ratio of the favorable component {111}<112>...
冷轧无取向硅钢的边缘降控制优化研究
某冷连轧机生产无取向硅钢板材时,其边缘降的长度合格率频繁超标。为满足用户的叠片厚度精度要求,这类产品必须以增大切边量的方式来保证交货质量,而这种方式又直接降低了金属收得率,提高了生产成本。基于此,以该产线现有设备特性为基础,详细分析其软、硬件功能模式,分别对辊形与反馈控制进行全面分析与优化改进。通过现场试验论证,充分明确依托辊形优化与反馈控制程序的改进能显著提高边缘降的控制水平,该技术的使用为生产现场的边缘降控制提供了合理的技术支撑。 A cold rolling mill production of non-oriented silicon steel sheet,the thickness difference of the edge( edge-drop) is usually exceed the preset standard value,In order to meet the accuracy requirements of the user flatness,these production must be trimed wider length to meet the delivery quality of the user need, which directly reduce the metal yield and increase the manufacturing cost. Therefor,the software and hardware of the production line has been analyzed, and the work roll shape and feed...
退火温度对无取向电工钢组织和磁性能的影响
主要研究了0.7%Si无取向电工钢退火试样的组织、晶粒尺寸和织构对其磁性能的影响。结果表明,随着退火温度的升高,晶粒尺寸逐渐增大,组织的均匀性得到改善;ɑ取向线上的纤维织构多集中于{114}<110>和{223}<110>附近,再结晶结束后,织构含量变化不大。{111}<110>织构取向密度值随温度升高而下降,{112}<111>织构与{111}<110>织构变化相反。晶粒尺寸增大对磁感强度的影响较小,而对铁损的影响较大。 Influences of microstructure,grain size and texture on the magnetic properties of 0.7% Si non-oriented electrical steels annealed samples were studied.The results show that with annealing temperature increasing the average grain size is increased gradually.Uniformity of the microstructure is improved;the textures of ɑ-fiber gathered in the vicinity of the { 114} < 110 > and { 223 } < 110 > texture.After recrystallization,the volume fraction of texture changes small.{ 111} < 110 &g...
低硅钢冶炼过程硅质量分数控制
抑制回硅是低硅品种钢冶炼的重点和难点,南钢中厚板卷厂通过转炉出钢弱脱氧操作,精炼炉弱脱氧升温,脱氧、脱硫造渣,连铸严格的保护浇注及吹氩塞棒、吹氩浸入式上水口的应用等一系列工艺优化和操作的改进,使整个冶炼过程钢水回硅量稳定控制在200×10-6以内,钢水终点成分完全满足低硅钢要求。 Control of increasing silicon is the emphasis and difficulty in low silicon varieties steel smelting.The Nisco Wide Plate/Coil Plant can control the silicon content in molten steel keeping within 200×10-6 through whole steelmaking process by using oxygen residual operation in converter tapping,oxygen residual and increasing temperature,deoxidation,desulfurization,slag refining,protection cast,blowing argon by plugged nozzle,blowing argon by submerged entry nozzle in continuous casting,and other ...
RH精炼添加钙合金去除硅钢夹杂物研究
采用RH精炼添加钙合金方式对硅钢进行钙处理。结果表明,钙合金添加量为0.67、1.00、1.67kg/t钢时,钢中钙含量分别为0、2×10-6、4×10-6;随着钙合金添加量增大,钢中夹杂物粒度逐渐由0~2μm向2~4、4~6μm偏移;不同钙处理条件下,钢中均存在粒径小于1μm和粒径为1~5μm的MnS、CuxS夹杂物,后者或单独存在,或同AlN、CaS夹杂复合;粒径为5~10μm区间,钢中的夹杂物基本以钙的氧、硫化物为主。与钙处理前相比,钙合金添加量为0.67、1.00、1.67kg/t钢时,粒径小于1.0μm的微细夹杂物减少幅度分别为68.06%、87.50%、94.94%。钙合金添加量为1.67kg/t钢时,可以去除钢中绝大部分的微细夹杂物。 Ca alloy was added into the liquid steel during RH refining,and the results show that Ca concentration in final Si steel sheets is insignificant,about 0,2×10-6 and 4×10-6 when the added amount of Ca is 0.67,1.00 and 1.67 kg/t steel,respectively.With the increase in the added Ca alloy amount,the inclusions in the steel gradually change from those of 0~2 μm to those of 2~4 and 4~6 μm.Under different Ca treatments,there exist MnS and CuxS inclusions whose size is below 1 μm as well as MnS and CuxS ...
还原分离-原子荧光光谱法分析硅钢中痕量汞的不确定度评定
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.
一类非线性系统控制方法在硅钢生产上的应用
硅钢工业退火炉温度控制具有强耦合、纯滞后、多扰动等特点,它的控制方法代表着一类非线性系统控制的解决方法。以硅钢工业退火炉温度为控制对象,在双交叉限幅控制的基础上引入了智能学习系统,形成了基于智能学习系统的双交叉限幅控制方法来解决此类非线性系统的控制问题,并通过模块化的编程来实现其功能。结果表明:与传统的PID控制相比,该控制方法的控制精度、抗扰性等控制指标有明显提高,是解决此类非线性控制的一种有效方法。 The temperature control of silicon steel industrial annealing furnace has the features of strong coupling,pure lag,multidisturbance. The control method represents the solution of a class of nonlinear control systems. The control object is the temperature control of silicon steel industrial an-nealing furnace, the intelligent learning system based on Double Across Limit Control is introducedand used to solve control problem of this kind of nonlinear system, and the module programming isused to re...

