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对应用动态加热进行短时温度退火的取向电工钢进行了二次再结晶研究。所进行研究的实验用取向电工钢是经过终冷轧和后续罩式退火后的一条工业化生产线生产的。研究结果表明,运用短时热处理条件可引起研究钢完全的异常晶粒长大。在实验室处理的材料的织构和金相组织与工业化生产的经过终退火而获得的相同的取向电工钢类似。但是,在实验室处理的取向电工钢的二次再结晶的矩阵中可观测到\"寄生\"晶粒。从磁性观点看,这些\"寄生\"晶粒含有不理想的{111}取向织构。 The present study was made to investigate secondary recrystallization in grain-oriented steels annealed at short time temperature exposures with application of dynamical heating.The investigated GO(Grain Oriented) steels for experiments were taken from one industrial line after final cold rolling reduction and subsequent box annealing.It was shown that application of short time heat treatment conditions could lead to complete abnormal grain growth in the investigated GO steel.The texture and mic... 
2011-04-28 113 5.8

采用CVD法制备6.5%Si高硅钢,介绍了具体的制备工艺过程,研究了温度对渗硅速率和试样质量减轻的影响,同时分析了扩散时间对高硅钢中硅分布的影响。结果表明:在CVD反应过程中,反应温度高于1050℃将大大提高渗硅速率,但当温度大于1200℃后,渗硅速率趋于稳定;渗硅后,试样会减轻、减薄,随着温度升高,试样质量减轻的速率逐渐增大,在1200℃左右趋于稳定;扩散时间越长,硅分布越均匀,结合制备效率进行考虑,满足Δw表-中/b≤5的时间为适宜的扩散时间。 6.5%Si high silicon steel was manufactured by using CVD method and the process was introduced,the influence of temperature on the siliconizing rate and quality reducing rate,diffusion time on silicon distribution were investigated.Results as follows: the siliconizing rate will increase quickly when the temperature is higher than 1050 ℃,but the siliconizing rate will become steadily as the temperature up to 1200 ℃;The quality reducing rate will increase with the elevating of temperature and the r... 
2013-01-28 118 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 ... 
2013-04-28 132 5.8

针对攀钢高硫铁水冶炼现状,结合不同生产工艺路线,论述了攀钢近年来为实现低硫电工钢的生产,在铁水预处理、转炉冶炼、钢水精炼过程中硫控制技术的开发与应用,形成了低硫洁净钢生产工艺技术,实现了低硫电工钢的生产。低硫电工钢RH脱硫率可达到20%左右,成品[S]控制在0.006%左右。 According to the smelting situations of hot metal with high sulphur content at Panzhihua Steel,combined with different produce processes,technologies for controlling the sulfur content during hot metal pretreatment,converter smelting,and second refining are developed. Technologies in low-sulfur clean steelmaking are formed. Low-sulfur electric steel are produced. As for the desulfurization rate of lowsulfur electric steel can reach about 20%,and the content of [S] in products is controlled to ab... 
2013-03-28 121 5.8

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... 
2011-09-28 96 5.8

借助于EBSD对比研究了常化退火对高牌号无取向电工钢热轧组织和织构演变的影响,分析了常化退火对热轧板各厚度层织构的演变规律。结果表明,常化退火改善了热轧组织的均匀性,并弱化了热轧变形的γ纤维织构。升高常化退火温度,可增大热轧板的晶粒尺寸,提高{100}和{110}织构组分占有率,有利于提高无取向电工钢成品板的磁性能。 Effects of normalizing annealing on microstructure and texture of high-grade non-oriented electrical steel hot-rolled sheet were investigated by EBSD. Emphasis was put on the effects of normalizing annealing on texture evolution in the sheet thickness. The results show that the hot-rolled microstructure homogeneity is improved and the γ-fiber texture is weakened by normalizing annealing treatment. The grain size of hot-rolled sheet and intensity of the {100} and {110} favorable texture can be in... 
2014-02-28 110 5.8

研究二次冷轧压下率对于硅的质量分数为3.0%的无取向硅钢组织结构和磁性能的影响。结果表明:当第二次冷轧压下率从0变化至16.7%时,铁损逐渐增加,磁感逐渐降低。当第二次冷轧压下率大于16.7%时,随压下率的增加,铁损逐渐减小,磁感逐渐增加。当第二次冷轧压下率大于38%时,二次冷轧法所能获得的磁性能明显优于一次冷轧法。 Effect of double cold reduction on magnetic,microstructure and texture of 3.0% Si non-oriented silicon steel sheets was investigated.The results show that the iron loss increases and magnetic induction reduces as the percentage redcution in secondary cold rolling changes from 0 to 16.7%.The core loss can be reduced remarkably,and magnetic induction can get a little benefit if the percentage redcution in double cold reduction is higher 16.7%.In case of higher than 38% of the percentage redcution ... 
2012-11-28 125 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... 
2014-09-28 143 5.8

无取向硅钢特别是中牌号以上的无取向硅钢,随着含硅量的提高,常温下塑性较差,冷轧过程中轧制力明显提高,如果存在原料质量问题,极易发生断带事故,影响硅钢冷轧过程的成材率和生产效率。通过优化冷轧工艺参数,可提高冷轧稳定性。生产中通过合理分配冷轧各道次压下量和轧制速度,保证了轧制过程的稳定,很大程度减少了冷轧断带事故的发生。 Non-oriented silicon steel, especially in the low and middle grade, with the increase of silicon content, plasticity is poor at room temperature, rolling force in cold rolling process significantly improved .If there is the quality defect of raw materials , easily sheet is rolling off. Affect finished product rate and production efficiency in process of cold-rolled silicon steel. Through optimization of cold rolled process parameter , improve the stability of cold-rolling process. Through reason... 
2011-02-28 140 5.8

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. 
2023-05-09 167 5.8

利用背散射衍射技术(EBSD)和XRD,研究了两段式脱碳退火工艺对取向硅钢纵截面初次再结晶的微区取向、取向差分布、特殊晶界(CSL)及高温退火试样高斯织构。分析了初次再结晶晶界特征对取向硅钢高温退火后宏观织构的影响。结果表明:初次再结晶的纵截面基体中Σ3和Σ5晶界使得高斯晶粒有着较高的迁移率,在高温退火时借助20o~45°的大角度晶界的界面能吞并周围{111}<112>晶粒迅速长大,形成密度水平较高的高斯织构。 Micro area orientation of primary recrystallization,the misorientation distribution,special boundaries under different two-stage decarburization annealing and the Goss texture under high temperature annealing the longitudinal section of grain-oriented silicon steel were detected by electron back scattering diffraction(EBSD) and X-ray diffraction(XRD).The effect of primary recrystallization grain boundary on macrotexture after high temperature annealing was analyzed.The results show that the Σ3 a... 
2023-05-11 193 5.8

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