论文

取向硅钢热轧板中织构梯度对发展完善的二次再结晶十分关键,通过添加铜可以显著降低取向硅钢板坯加热温度,从而影响热轧板织构分布。利用X射线衍射仪,分析了实验室模拟薄板坯连铸连轧(TSCR)工艺的3种不同铜含量的取向硅钢热轧板织构。结果表明:不同铜含量热轧板表面到厚度1/4处均为弱的热轧织构,热轧板心部主要为{100}面织构;铜含量约在0.4%时,热轧板次表层的{110}<001>织构比例最高,而热轧板心部的{100}<110>织构比例最低;铜含量对热轧织构中{114}<110>和{001}<100>织构发展有显著影响。 The texture gradient in hot rolled grain oriented silicon steel strip is one of the essential factors to achieve a perfect secondary recrystallization.The addition of copper can significantly reduce the slab reheating temperature of grain oriented silicon steel,so as to impact the texture distribution in the hot rolled strip.The texture of hot rolled grain oriented silicon steel strip as-rolled by thin slab casting and rolling process(TSCR) in laboratory with three different copper contents was ... 

【作者】 朱凤泉； 黄生银； ...

研究了冷轧大压下量,950℃退火时间对一种新型含铜无取向电工钢晶粒度和织构的影响。结果表明,大压下量冷轧,随压下量的增加,退火晶粒向γ线聚集,形成强{111}<112>织构。提高冷轧压下率,退火织构{111}<100>,{110}<001>强度减弱,增加退火时间,退火织构{111}<110>,{100}<001>,{110}<001>强度变弱。采用87.5%冷轧压下率和950℃退火60 s,有利织构{100},{110}占有率最大。 The effect of annealing(950 ℃) time with high cold rolling reduction on grain size and texture of a new non-oriented electrical steel containing copper was investigated.The results show that for high cold rolling reduction,most annealed grains are oriented along γ-fibre with increasing cold rolling reduction ratio and strong texture {111}<112> is formed.With increasing the cold rolling reduction ratio,the intensity of annealed texture {111}<110>,{011}<100> decreases.With increa... 

通过实验室25 kg真空感应炉冶炼和锻轧研究了0.26%～0.95%Al含量对0.5 mm 2.2%Si无取向硅钢冷轧板组织、织构和磁性能的影响。试验结果表明,0.26%～0.81%Al含量时,随钢中Al含量的增加,成品退火钢板的晶粒尺寸增加同时铁损减少;当Al含量大于0.81%时,随Al含量增加,钢板的晶粒尺寸减小,同时铁损增加。Al含量对硅钢板磁感的影响没有明显的规律。2.2%Si无取向硅钢的合适Al含量为0.48%～0.81%。 The effect of 0.26%～0.95%Al content on structure,texture and magnetic performance of 0.5 mm cold rolled sheet of 2.2%Si non-oriented silicon steel has been studied by a 25 kg vacuum induction furnace smelting,and forging -rolling in laboratory.Results show that as 0.26%～0.81%Al,with increasing Al content in steel the grain size of annealed finished sheet increases while iron loss of sheet decreases,and as Al content in steel is more than 0.81%,the grain size of sheet decreases while iron loss in... 

针对采用含钒铁水生产无取向电工钢存在的铁水脱硫率低、转炉冶炼过程回硫量大、成品硫含量偏高的问题,通过对含钒钛铁水脱硫,减少转炉冶炼过程回硫以及RH脱硫技术等方面的研究,大幅度降低了电工钢成品硫含量。生产表明钢中w(S)=0.001 9%～0.006 9%,平均为0.004 2%;w(S)≤0.008%的比例达到了100%,且w(S)≤0.005%的比例也达到了91.43%。 In cognizance of the problems of low desulphurization rate for hot metal,large sulfur-recovery in converter as well as high sulfur content in products in producing non-orientation electrical steel with vanadium-content hot metal countermeasures have been carried out.Sulfur content in non-orientation electrical steel is decreased obviously by way of study on technologies of desulphurization for hot metal with vanadium & titanium,sulfur-recovery control in converter and desulphurization in RH ... 

【摘要】 <正>近日,从重钢集团获悉,日前重钢炼钢厂...

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... 

提出以“云边一体化架构”构建硅钢智慧决策系统，来解决原硅钢制造L1～L5系统架构模式下的数字信息孤岛、业务功能割裂等问题。在此基础上，开发了云边协同的自学习型控制模型及业务决策模型，构建起硅钢“智慧大脑”，形成了以研发、制造、服务等核心业务数字化融合的智能化决策支持新模式，探索出一条钢铁制造业数字化、智能化转型之路。 SIDS(Silicon-steel Intelligent Decision-making System)based on \"cloud-edge integration architecture\" was proposed to solve the problems of data silos and business function fragmentation in the original L1～L5 system architecture.On this basis,the self-learning control model and decision-making model of cloud-edge collaboration were developed,the \"smart brain\" of silicon steel department was constructed,and a new intelligent decision-making support model of digital integration of core businesses s... 

本文对某厂硅钢DR510温度、成分及过程控制水平和成品的组织、力学性能进行了研究,并在此基础上提出了工艺优化方案,有一定的借鉴和推广价值。 In this paper,the critical process and the products quality,including temperature,composition and process controlling level,the organization and mechanical properties of the finished product,were studied.On the basis of that the optimized technical plan provided,and this control technology is worth using and spreading. 

采用X射线衍射仪分析无取向硅钢冷轧织构和再结晶退火织构的演化,研究了热轧组织对无取向硅钢织构以及磁性能的影响。结果表明,具有均匀、粗大晶粒组织的热轧板,冷轧形成更多的剪切带,导致成品板形成高的高斯织构组分,并提高了{100}织构强度,降低了γ纤维织构,最终导致成品磁感应强度升高,铁损下降。 The texture evolution of non-oriented silicon steel during cold-rolling and recrystallization annealing was investigated by X-ray diffractometer.The effects of hot band microstructure on the texture and magnetic properties of non-oriented silicon steel were analyzed.The results show that more shear bands appear during cold rolling due to homogeneous coarse grain in hot band.So strong{110}<001> texture after recrystallization annealing forms.At the same time,the {100} texture components inc... 

【作者】 韩超； 代智肄； ...

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 ...