硅钢资料

介绍了双蓄热燃烧技术的特点和高温硅钢加热炉的特点,探讨了双蓄热燃烧技术在高温硅钢加热炉中使用的技术难点,分析了双蓄热燃烧技术在高温硅钢加热炉上使用的可能性。 Introduced characteristics of double regenerative combustion technology and high temperature silicon steel reheating furnace,discussed technical difficulties for using double regenerative combustion technology,analyzed the possibility of double regenerative combustion technology applied to high temperature silicon steel reheating furnace. 

利用EBSD技术研究了电工钢中不同的柱状晶尺寸及退火工艺下{100}织构的演变规律。结果表明,初始晶粒尺寸的影响最显著。细小柱状晶热轧后经过常化处理,组织已均匀,但中心层有强{100}织构。粗大柱状晶中{100}织构的遗传性强,常化及中间退火后,中心层仍有粗大的以{100}取向为主的晶粒;脱碳退火后才能完成组织均匀化和织构梯度的弱化。常化时的升温速度也对织构演变存在影响,低的升温速度有利于{100}织构的保留,但升温速度的影响没有初始晶粒尺寸及退火次数的影响显著。细小柱状晶样品经过热轧及三次退火工艺适合制备取向电工钢。 Evolution of {100} texture of different columnar grains and annealing process was investigated in electrical steels with the help of EBSD technique.The results show that the effect of initial grain size is the strongest.The initial fine-grained specimen shows uniform microstructure after the normalizing process,while {100} grains appear preferentially in the central layer of sheets.The heredity of {100} texture in the initial coarse-grained specimen is more significant.{100} mainly-oriented coar... 

通过热力学计算,分析了实验钢中主要析出物析出的可能性。结果表明:在液相和固液两相区中,AlN和MnS均不能析出;在奥氏体区,AlN和MnS具备热力学析出条件,平衡析出温度分别为1547、1582 K。成品退火板中的析出物主要为AlN和MnS。扫描电镜下观察到的AlN形貌多为长条状,MnS形貌多为棒状或近似球形。这两种析出物占了析出物总量的85%以上,尺寸集中分布在400~800nm;复合析出物主要是(Al2O3+MnS)和(AlN+MnS),形貌不规则,尺寸集中在0.7~1.5μm;透射电镜下观察到了少量100nm以下独立的AlN析出。 According to thermodynamic calculation, the precipitation probability of precipitates was analyzed, AlN and MnS can not precipitate in liquid phase area and solid-liquid two-phase area. In austenite area, both the AlN and MnS have precipitation condition in thermodynamics and precipitates at 1547 K and 1582 K, respectively. The precipitates in annealing plate are mainly AlN and MnS. The shape of AlN is mostly strip, and MnS is stick or near sphericity. They accounted for over 85% of the total qu... 

采用双辊薄带连铸工艺试制了2.6 mm厚5.28%Si-1.11%Al高硅钢薄带,对比了1050℃×5 min正火及不正火铸带280℃冷轧至0.5 mm后,再经900～1100℃退火的磁性能。结果表明,高硅钢铸带显微组织为等轴晶组织,正火后铸带边部晶粒长大,中心层晶粒变化较小。成品中析出物主要为较粗大的AlN和AlN+MnS复合析出物,尺寸为0.5～2.5μm。与不正火试样相比,正火试样成品铁损大幅降低,磁感小幅下降;随退火温度的升高,两种工艺下铁损和磁感都是先降低后升高,在1050℃出现最低值。 2.6 mm thickness 5.28% Si-1.11% Al non-oriented high silicon steel was produced by twin roll thin strip casting.Magnetic property of the strip un-normalized and normalized at 1050 ℃×5 min was contrasted after cold rolled to 0.5 mm at 280 ℃ and 900-1100 ℃ final annealing.The results show that microstructure of the strip is equiaxed crystal.The surface grain is coarsened and the center layer grain has little change of the normalized strip.The main precipitates are AlN and MnS+AlN with 0.5-2.5 μm s... 

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 ... 

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... 

介绍了普通取向硅钢(CGO)和高磁感取向硅钢(Hi-B)铸坯高温加热两次冷轧、一次冷轧和铸坯低温加热两次冷轧、一次冷轧法4种成熟生产工艺的主要技术参数,取向硅钢理论研究(Goss晶核和抑制剂)和生产技术现状。取向钢的发展趋势为:提高(110)[001]晶粒取向度,降低取向硅钢铁损,发展铸坯低温加热(≤1 300℃)和薄板坯连铸连轧流程生产取向硅钢工艺。 Main technology parameters of four developed process:cast bloom higher temperature heating-double cold rolling or single cold rolling,lower temperature heating-double cold rolling or single rolling process for production of common grain oriented silicon steel(CGO) and high magnetic induction grain oriented silicon steel(Hi-B),theory research on grain oriented steel(Goss nucleus and inhibitor) and present situation of process are summarized in this paper.The development trend of grain oriented si... 

采用节能、环保、经济型的生产技术与工艺来制造高磁感取向硅钢目前已成为世界各大取向硅钢生产厂的研发热点。总结了国内外各大钢铁企业与研究机构采用低温板坯加热技术生产高磁感取向硅钢的开发及应用情况,概括了传统流程实现低温板坯加热技术的方法。介绍了薄板坯连铸连轧与双辊薄带连铸等短流程工艺生产高磁感取向硅钢的研发现状。在此基础上,探讨了高磁感取向硅钢生产技术与工艺的发展趋势及方向。 Utilizing energy-efficient,environmentally friendly,economic production processes and technologies to manufacture high magnetic induction grain-oriented silicon steel has become the focus of current research work.Based on using low-temperature slab reheating techniques to produce high magnetic induction grain-oriented silicon steel at both iron and steel enterprises and research institutions all over the world,the current application and exploitation was thoroughly generalized;the implementation... 

研究了电工钢SXRC的显微结构和疲劳性能,并与DP钢进行了比较。结果表明,退火温度低温化能够有效的抑制电工钢的再结晶。该钢在固溶铌的作用下,能够在保证电机磁性的同时具有一定的强度。与DP钢相比,SXRC钢的抗疲劳性能更好。 The microstructures and fatigue properties of the electrical steel SXRC we re investigated, and the properties were also compared with the steel DP. The results show that the recrystallization of the electrical steel can be suppressed at lower annealing temperature. The steel presents favorable motor magnetic and also a compatible strength with the help of solid-solution Nb. Compared with the steel DP, the fatigue resistance of the steel SXRC is preferable. 

作为一种具有优异高频铁磁性能的合金,Fe-6.5%Si(质量分数)高硅钢在高频工况条件下降损效果明显,对电气行业应用器件高频化、小型化、节能等具有十分重要的意义。通过与取向硅钢测量B-P数据对比,验证了高硅钢高频超低损特性,且轧制高硅钢与日本CVD法生产高硅钢存在基本相同的铁损值。采用国标Epstein Square法对0.30mm高硅钢薄板进行单片测试,并对由0.30mm高硅钢薄板首次装配成的电感器进行铁损测试,对比测试结果表明,元件测试与单片测试数据基本吻合,高磁感应强度条件下,元件测试结果略低于单片测试,分析原因为:线圈引起励磁压降;元件叠片间出现短路,电流增大,损耗增加;气隙板厚度过大。 As one core material with excellent high-frequency ferromagnetism,Fe-6.5%Si performs obviously reduction on core loss in high field frequency which means much to high frequency,minimization,energy conservation in electric industry.Super low loss was verified by drawing B-P curves based on detected experimental data,and which went equal to Fe-6.5%Si thin strip fabricated by CVD in Japan.Fe-6.5%Si was firstly fabricated as inductor in this research,and its core loss was determined for comparison w... 

利用本钢技术中心试验厂技术手段,并与北京钢铁研究院合作,试制了用作家电用电机、微电机、小电机或部分中型电机铁芯的冷轧无取向电工钢。试制钢硅含量小于0.5%,钢板表面平滑,公称厚度0.5mm,且厚度均匀偏差小,性能测定结果表明,产品的磁性能、力学性能满足其使用要求。 BX STEELTechnology Center pilot plant using technical means,and with Beijing Iron and Steel Research Institute,trial cold rolled non-oriented electrical steel that has been used as appliance motor core,micro motor core,small motor core,or part of the medium-sized motor core。Trial steel of silicon content is less than 0.5%,steel plate surface is smooth,the nominal thickness of 0.5mm,and the thickness deviation is small,performance measurement results show that the magnetic properties,mechanical p... 

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...