钢厂
硅钢CSP工程辊底式均热炉技术特点
介绍了硅钢CSP工程辊底式均热炉的技术特性,详细阐述了辊底式均热炉工艺特点。根据硅钢均热要求,通过采取不同烧嘴布置方法和燃烧控制技术,选用耐火纤维模块和绝热材料等相关技术措施,满足了出钢温度要求。 The technical specialty for roller hearth furnace of silicon steel CSP Plant was introduced,and the technology characteristics of the roller hearth furnace were illuminated in detail.According to the reheating require of the silicon steel,different burner arrangement and combustion control methods were applied,and technology measures such as selecting refractory fiber module and insulation material and so on were taken,the temperature requirement of silicon steel was met.
凝固速率对定向凝固50W600无取向硅钢固液界面稳定性和枝晶间距的影响
采用ZMLMC超高梯度定向凝固装置,研究了5种凝固速率(10、35、80、150和450μm/s)对定向凝固50W600无取向硅钢的固液界面稳定性转变规律和一次、二次枝晶间距的影响。研究结果表明,在特定的温度梯度下,随着凝固速率的增加,定向凝固的固液界面由胞状晶转变为胞状枝晶,再转变为细小的树枝晶。随着凝固速率的增加,定向凝固组织的枝晶形貌逐渐细化,一次和二次枝晶间距逐渐减小,且与冷却速率之间都符合指数关系:λ1=151.73×(G L·R)-0.31,λ2=22.07×(G L·R)-0.44。当冷却速率达到4.275℃/s时,一次、二次枝晶间距分别为112μm、14.1μm。 Under the conditions of certain temperature gradient and different solidification rate,the directional solidification experiment of non-oriented electrical steel 50W600 was carried out.The microstructure of 50W600 steel was also analyzed in different solidification rate.The result shows that the solid/liquid interface of the steel undergoes an evolution from cellular,cellular dendrite and finally to fine dendrite morphologies.The dendrite refines gradually and the distance between dendrites decr...
高效电机用无取向硅钢退火板组织和析出物研究
研究了组织和析出物对高效电机用无取向硅钢退火板磁性能的影响。结果表明:随着退火温度升高,退火板平均晶粒尺寸增加,P15/50明显降低,B50略有升高。退火温度在1 000℃时,退火板的综合性能较好。析出物主要是AlN、(MnS+AlN)和(MnS+Al2O3)复合析出物,尺寸较粗大,主要集中在1.0~2.5μm,还发现少量百纳米以下的细小AlN和TiN。实验室模拟TSCR流程试制的高效电机用无取向硅钢,铁损平均值小于4.00 W/kg,磁感应强度大于1.75 T,适合作中小型高效电机铁芯材料。 Effects of microstructure and precipitation on magnetic property of non-oriented silicon steel sheets after annealing for high-efficiency motor are studied in the paper by experiments.The annealed sheet exhibits a larger average grain size,obviously decreasing iron loss and slightly raising magnetic induction with increasing temperature.The annealed sheet has better comprehensive properties at a annealing temperature of 1 000 ℃.The main precipitates are compounds of AlN、(MnS+AlN)and(MnS+Al2O3) w...
RH精炼喂CaSi线去除无取向硅钢中的非金属夹杂物
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...
低温高磁感取向硅钢常化工艺中间冷却制度的研究
借助电子背散射(EBSD)技术对AlN为主抑制剂的Hi-B取向硅钢常化工艺的中间冷却制度进行了研究。结果表明:常化后试样均发生了完全再结晶,在60℃/s冷速下组织最均匀;在合适的冷却制度下常化板表层保留了强的Goss织构,它深入到1/4厚度处,并且形成对Goss织构有利的强{554}<225>织构。 The intermediate cooling system of Hi-B oriented silicon steel with AlN main inhibitor in normalizing process was studied by means of electron back diffraction(EBSD) technique. The results show that:the specimens after normalizing are fully recrystallization, and the microstructure is most uniform under the intermediate cooling rate of 60℃/s; under suitable cooling system, normalized plate surface retains strong Goss texture, it penetrates into the 1/4 thickness of the plate and forming strong {...
轧制法制备低铁损高磁感6.4%(质量分数)硅钢及其织构演变
采用轧制法制备出具有低铁损高磁感0.23mm厚6.4%(质量分数)Si高硅钢。沿轧制方向的最终磁性能为B8=1.474 T,B50=1.714 T;P10/50=0.30W/kg,P15/50=0.88W/kg。利用X射线衍射及背散射电子衍射(EBSD)技术分析了高硅钢在轧制及退火过程中的织构演变过程。结果表明,通过采用大压下率热轧,确保热轧板次表层中产生更多的高斯织构,随后进行遗传;温轧板中粗大的晶粒有利于冷轧剪切带的形成;冷轧板经脱碳退火后生成强{210}〈001〉织构及次表层较强的高斯织构是在轧向上获得高磁感的原因,归因于其在{111}〈112〉冷轧形变晶粒内的剪切带优先形核并长大;最终退火后虽出现了随机取向,但以{310}〈001〉织构为代表的η织构得以保留并且增强,进一步提高了磁感。随着退火温度的升高及保温时间的延长,高硅钢薄板晶粒尺寸不断增大,铁损明显降低。 6.4wt%Si high silicon steel sheets(0.23mm thick)with low iron loss and high magnetic induction were successfully produced by rolling process.The final magnetic properties along the rolling direction(RD) were:B8=1.474T,B50=1.714T;P10/50=0.30 W/kg,P15/50=0.88 W/kg.The texture evolution during rolling and annealing was investigated by means of X-ray diffraction and electron backscatter diffraction(EBSD).It was found that more Goss textures formed in the subsurface of hot rolled plates by using larg...
薄带连铸取向硅钢的热轧孪生行为
薄带连铸流程下取向硅钢粗大λ晶粒(〈100〉//ND,normal direction)的“遗传”会导致磁性能恶化.为解决这一问题,针对取向硅钢的热轧孪生行为开展研究,结果表明:凝固组织粗大的取向硅钢在650℃热轧时可产生大量{112}〈111〉形变孪晶,这与具有高层错能的硅钢在较高温度下难以孪生变形的传统认知不同.热轧过程中复杂的应力状态降低了变形孪晶的取向依赖性,由于具有更高的储存能,孪晶界/孪晶界及孪晶界/晶界交叉点成为再结晶形核的优先位置,大大提高了常化过程中的再结晶率,受沿孪晶界应变分布及孪晶间距离的限制,沿孪晶界形核的再结晶晶粒通常呈“饼状”,最终形成以细小且取向漫散的再结晶晶粒为主的常化组织,消除了初始凝固组织中有害的粗大λ晶粒. In strip casting grain-oriented silicon steels, the inheritance of coarse λ grains(〈100〉//ND, normal direction) can deteriorate their magnetic properties. To solve the problem, twinning behaviors in strip casting grain-oriented silicon steels during hot rolling were investigated in this work. It is found that after rolling at 650 ℃, a number of {112}〈111〉deformation twins are formed in the coarse solidification microstructure of the steels, in contrast to the well-accepted view that it is diffic...
无取向硅钢夹杂物分析
采用非水溶液电解方法来提取无取向硅钢中夹杂物。通过扫描电镜(SEM)观察结果表明:无取向硅钢中主要夹杂物为六棱柱的AlN、不规则硅酸盐及球状的铁的硫化物和氧化物,其中AlN夹杂尺寸在1~5μm,数量较多,还有部分AlN的复合夹杂。进一步研究了AlN复合夹杂形成机理,采用了Thermo-Calc热力学计算软件计算出该钢样中AlN、MnS析出温度分别为1 240℃、1 200℃,而Al2O3析出温度大于1 800℃,从而为AlN复合夹杂形成机理提供了一个理论依据。 Extracting inclusions from non-oriented silicon steel in non-aqueous electrolysis is a nondestructive method to gain inclusions.Scanning electron microscopy shows that the main inclusions in non-oriented silicon steel were hexagonal AlN,which was of large quantity,irregular silicate,spherical iron sulfide and oxide.The size of AlN inclusions ranged from 1to 5μm,and there were some duplex inclusions of AlN.To further study the formation mechanism of AlN duplex inclusions,Thermo-Calc thermodynamic...
热轧卷取时间对新型冷轧无取向电工钢组织和性能的影响
研究了热轧卷取时间对无取向电工钢晶粒组织、织构演变、铁损和磁感的影响。结果表明,成品晶粒尺寸在120~140μm之间,随卷取时间的增加,成品晶粒尺寸增大。成品织构主要由γ纤维、а纤维和高斯织构等构成。随着保温时间的增加,{111}<110>和{112}<110>织构强度降低。随卷取时间的增加,成品P1.5降低。热轧板最佳的卷取工艺为550℃保温2~3 h,电工钢的综合磁性能优良。 The effects of hot-rolling coiling time on microstructure,texture,core loss and magnetic induction of a new cold-rolled non-oriented electrical steel containing copper were investigated.The test results showed that for final product the grain sizes are 120-140um,with the increase of coiling time,the grain size increase.For final product there are mainly γ-fibre,а-fibre,and {110}<001> texture,Coiling at 550℃ for hot rolled plate,the {111}<110>,{112}<110> texture was weaked with ...
电工钢反复弯曲试验的影响因素
电工钢反复弯曲次数是电工钢性能检验的重要指标之一,直接影响到用户在使用电工钢过程的机加工性能。主要分析了试样宽度、试样张力、晶粒取向、反复弯曲设备等因素对电工钢反复弯曲试验的影响,并对各个因素的影响程度进行量化以及原因探讨,从而归纳形成各影响因素的基本规律,以便为电工钢实际生产、用户使用提供科学指导。结果表明:试样宽度增加,反复弯曲次数也会不断增加,晶粒位向对取向电工钢的反复弯曲次数影响较大,当支座顶部到拨杆底部的距离减小或拉紧力增加时,反复弯曲次数会不断减小,但当拉紧力达到60N以上时,对反复弯曲次数影响不大,试样经退火后,反复弯曲次数略有上升。 The reverse bend number is an important performance of electrical steels′capabilities,affecting the machining performance directly when the customers used.It investigated some factors,such as sample′s width,sample′s tension load,grain orientation and equipment,how to effect the reverse bend test for electrical steel,measured the influence degree,and discussed the reason,in order to form basic rules which could be guided the manufacturing and using for electrical steel.Results showed that the rev...
离散粒子群优化算法在硅钢涂层近红外光谱厚度检测中的应用研究
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...

