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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... 
2013-01-28 149 5.8

【作者】 杨佳直; ...
2013-01-28 114 5.8

通过对取向硅钢进行脉冲磁场退火实验,发现在相同的退火时间(6.0 min)内,低于1 T的脉冲磁场可以在一定程度上提高取向硅钢的磁感(B8),而高于1 T的脉冲磁场则会使取向硅钢的磁性能急剧恶化.同时发现,脉冲直流电加热方式会使取向硅钢的磁性能恶化.研究表明,脉冲磁场退火有望成为一种调控材料微观结构的有效手段. We have carried out experiments of annealing by pulse magnetic field.The results show that a pulse magnetic field with intensity lower than 1 T can promote magnetic induction density(B8) of grain-oriented silicon steel,while the magnetic properties deteriorate sharply when intensity is higher than 1 T.It has also been found that heating by using pulse direct current can cause the magnetic properties to deteriorate,in contrast to the traditional heating using resistance furnace.Our research shows... 
2011-01-28 195 5.8

用Gleeble1500D模拟试验机在变形温度为950~1 200℃、应变速率为0.01~8s-1、最大变形程度为60%的条件下,对硅钢50A1300做单道次压缩试验,首先分析了不同参数对流变应力的影响,然后用回归法确定了应力模型中的变形激活能及材料常数,得到硅钢50A1300在峰值应力条件和稳态应力条件下的变形激活能分别为270.360和91.557kJ/mol,同时得到了流变峰值应力模型,模型的相关系数为0.997。最后通过作lnθ-ε图的方法找到了硅钢50A1300发生动态再结晶的临界应变量,并回归得到峰值应变量、临界应变量与参数Z/C的关系式。 To analyze the effects of different parameters on the flow stress and critical strain of the dynamic recrystallization,single-pass compression experiments were carried out with silicon steel 50A1300 specimens using a Gleeble1500D thermal simulator at a temperature range of 950-1 200 ℃ and strain rate range of 0.01-8 s-1 under the condition of maximum deformation of 60%.The average deformation activation energy is respectively 270.360 and 91.557 kJ/mol under the peak stress and steady-state stres... 
2012-11-28 140 5.8

研究了常化温度、常化时间及常化后冷却速度对Si的质量分数为1.6%的无取向电工钢成品磁性能的影响。结果表明:在850~1 050℃范围内,随着常化温度的升高,成品铁损先减小后增大,成品磁感应强度先增大后减小;当常化温度为1 000℃时,成品平均铁损最低,平均磁感应强度最高;常化时间从3min延长到7min时,成品铁损先减小后增大,成品磁感应强度则呈单调下降趋势;随着常化冷却速度的降低,成品铁损先减小后增大,成品磁感应强度则呈单调增大趋势;对于Si的质量分数为1.6%的无取向电工钢,最佳的常化制度为:在1 000℃进行常化,时间5min,常化后空冷。对热轧板进行常化后,热轧板发生了不同程度的再结晶和晶粒长大。提高常化温度、延长常化时间、降低冷却速度,都能使常化板晶粒粗化,进而粗化成品板晶粒,改善磁性能。通过扫描电镜观察发现,成品板中析出物主要为AlN和MnS的复合析出物,以及少量的单独析出的AlN和MnS,而常化工艺主要是通过粗化析出相,减少细小析出相数量,从而减少对晶界钉扎作用来改善成品磁性能。 The effects of normalizing temperature,normalizing time and cooling rate after normalizing on magnetic properties of non-oriented electrical steel with mass fraction of Si of 1.6% were investigated.The results show that core loss of product decreases first and then increases,while magnetic induction increases first and then decreases with the increase of normalizing temperature from 850 to 1 050℃.Average core loss of product is the lowest and average magnetic induction is the highest when normal... 
2014-09-28 188 5.8

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. 
2014-10-28 161 5.8

{100}织构因具有两个易磁化方向能够明显的提高磁性能,因此如何在表面获得具有{100}织构一直是无取向电工钢研究焦点。本文主要介绍了获得{100}织构的主要工艺方法及其基本原理,并结合实际生产过程对各工艺方法的优缺点进行了分析;一方面,优化无取向电工钢的成分,降低碳、锰元素含量以避免脱碳退火和真空退火,简化生产工艺;另一方面,调节升温速度、降温速度和退火气氛,使{100}晶面的表面能或弹性应变能最低,制备具有{100}织构柱状晶组织的无取向电工钢是今后的发展方向。 Because { 100} texture has two easy magnetization directions,which can significantly improve magnetization properfies,how to develop { 100} texture is a focus for researchers and manufactures. In the paper,main manufacturing processes and basic principle are introdued,and their advantages and disadvantages in practical production are analyzed. On the one hand,the production process can be simplified by optimizing chemical compositions,such as reducing the content of C and Mn,which can avoid deca... 
2013-12-28 157 5.8

通过在实验室条件下模拟薄板坯连铸连轧流程,并在以Cu2S为主抑制剂制造普通取向硅钢(CGO)的基础上,加入适量钒钛,研究了钒钛对取向硅钢组织与磁性能的影响。结果表明,适量钒钛使热轧板和脱碳退火板组织更好,尤其使脱碳退火板的晶粒更加细小和均匀;加入适量钒钛不但使热轧板表面高斯织构强度更高,更使脱碳退火板中有利于高斯织构发展的γ织构强度更高;适量钒钛能形成Cu2S+(V,Ti)N等复合析出物,起到辅助抑制剂作用,加强抑制能力。细小均匀的晶粒、强度更高的有利织构和更强的抑制能力使CGO钢磁性能更佳。 Effect of V and Ti on microstructure and magnetic properties of conventional grain-oriented silicon steel(CGO) were investigated under simulated thin slab continuous casting and rolling process in laboratory with Cu2 S as the dominant inhibitor. The results show that appropriate amount V and Ti make the microstructures of the hot rolled sheet and the decarburizing annealed sheet better,especially make the grains of the decarburizing annealed sheet more tiny and uniform. Adding appropriate V and ... 
2014-06-28 170 5.8

采用传统的轧制和退火工艺制备了0.30mm厚的6.5%(质量分数)Si高硅电工钢薄板,采用X射线衍射技术对退火过程中的再结晶织构进行了研究。冷轧高硅钢薄板700℃退火形成以{111}〈112〉为峰值的γ织构(〈111〉∥ND)和以{001}〈210〉为峰值的{001}织构;而900℃以上温度退火则形成强{001}〈210〉织构。进一步的研究表明是在晶粒长大过程中{001}〈210〉发展成为主要再结晶织构组分。 High silicon steel thin sheets with thickness of 0.3mm were successfully produced by conventional rolling and annealing methods.Recrystallization texture was investigated by means of X-ray diffraction.It is found that recrystallization texture is mainly composed of γ fiber(〈111〉∥ND)with peak at {111}〈112〉 and {001} fiber with peak at {001}〈210〉 after annealing at 700℃,while strong {001}〈210〉 component dominates recrystallization texture after annealing above 900℃.It is during grain growth that {... 
2011-11-28 200 5.8

针对薄板坯连铸连轧流程结合\"获得抑制剂法\"所制备的低温高磁感取向硅钢,通过热力学计算研究了AlN与MnS在连铸与均热过程中的析出规律与行为。计算结果表明,连铸过程中AlN在凝固后的高温α相中便可能析出,而MnS仅可能在凝固后的α+γ两相区内析出。钢中AlN与MnS在均热过程中均处于部分固溶与部分析出的状态。后续高温渗氮处理后初次晶粒的异常长大并不明显,表明渗氮处理前钢中固有抑制剂的数量相对充足。 The precipitation behavior of MnS and AlN in low-temperature high magnetic induction grain-oriented silicon steel produced by thin slab casting and rolling process with\"acquired inhibitor method\"during continuous casting and soaking was studied by thermodynamic calculation.The calculated results show that AlN is likely to precipitate in ferrite after solidification.However,MnS can precipitate only in the two phase region of ferrite and austenite.Meanwhile,MnS and AlN in the steel can not be comp... 
2014-10-28 159 5.8

目前随着电工钢用户冲压设备的升级,冲压速度逐步提高,对电工钢产品的硬度和强度指标提出了更高的要求。与普通硬度级别的无取向硅钢相比,高硬度50BW600的Hv硬度提高15~20,达到125以上,同时对电磁性能指标也有较高要求。本钢通过化学成份和热轧及冷轧连退生产工艺的设计,经过小批量生产试验,满足用户要求。通过对工艺的严格控制,在大批量生产过程中,保证了产品的力学性能和电磁性的检验合格率。 Currently with upgrading of stamping equipment of silicon steel user, gradually increasing of stamping speed, propose higher demand for hardness and strength of silicon steel. Compared with conventional 50BW600, high hardness 50BW600 have higher hardness, reach greater than 125Hv. Through design of chemical composition with hot mill and annealing, production test of small quantities, stamping performance meet user request. 
2014-02-28 164 5.8

结合实际生产0.4%Si无取向硅钢,统计了不含Sn和0.025%Sn无取向硅钢的磁性能变化,利用金相显微镜、X射线衍射仪观察分析不同成分下试样的显微组织和微观织构。试验结果表明:Sn元素可以显著降低无取向硅钢的晶粒尺寸,0.025%Sn试样的平均晶粒尺寸比不含Sn减小28.4%;加入Sn元素后抑制了无取向硅钢中不利于磁性能的{111}面织构组分强度,提高了对磁性能有利的{100}面织构组分强度,0.025%Sn与不含Sn相比磁感均值从1.756 T提升至1.768 T,铁损均值从5.476 W/kg降低至5.204 W/kg,明显改善了无取向硅钢磁性能。 In this paper combined with the actual production of 0.4% Si non oriented silicon steel, the magnetic properties of non oriented silicon steel without Sn and 0.025% Sn were counted. The microstructure and microtexture of samples with different compositions were observed and analyzed by metallographic microscope and X-ray diffraction. The results show that: Sn can significantly reduce the grain size of non oriented silicon steel, and the average grain size of 0.025% Sn sample is 28.4% smaller tha... 
2022-01-28 169 5.8

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