钢厂
400mm硅钢自动轧制试验轧机
西安重型机械研究所为武钢开发了目前国内第一台自动化水平较高的先进可靠的硅钢热轧试验轧机。本文介绍了该轧机的工艺参数、设备组成,技术特点及轧制流程,该轧机在规定的终轧温度范围内,实现了2.5 m/s的快速轧制速度,保证了控制系统准确及时的采集到轧件进出轧辊时的信号,缩短道次间隙时间,实现了自动控制,保证了产品板形及精度的高水平要求,对于硅钢尤其是对其取向硅钢新产品、新工艺的开发具有深远意义。 An experimental prototype of 400 mm silicon steel hot rolling mill was developed by Xi’an Heavy Machinery Research Institue for Wu Gang.The technological parameters,configuration and characteristic of advanced control system in the experimental prototype are introduced in detail.The experimental prototype was realized the fast rolling of 2.5 m/s in the range of specified rolling temperature.Its automatic rolling control system can acquisite the signals that a rolled piece enters in and exits fro...
高牌号无取向电工钢技术发展及应用
对高牌号无取向电工钢国内生产情况、工艺技术、产品性能及应用领域等进行了阐述,并探讨了高牌号无取向电工钢产品的发展趋势。 This paper introduces basic facts on the production status,process technology and products’ properties and their applications of non-oriented electrical steel with high grade at home,and then discusses the development trend on technology for producing the non-oriented electrical steel with high grade.
硅钢常化退火炉辊印缺陷预测分类预警方法研究
针对宝钢硅钢常化退火过程中产生的退火炉辊印缺陷问题,通过实际生产的大数据与产品质量问题相结合,将数据挖掘、数据分析方法应用到实际,一定程度上解决了现场实际生产中的痛点,为现场生产提供决策支撑,避免了以前通过人工识别判定存在疏漏和无法定量判断的问题,形成了一套具有鲁棒性和可操作性的钢铁生产过程数据分析方法。通过智慧决策系统平台获取实际生产和表检仪数据,基于Pearson相关系数算法进行变量挑选和特征工程,并应用随机森林算法对数据建立分类预测模型,实现了质量问题的溯源和监控,通过数据量化预测了炉辊印缺陷是否可通过轧制消除的质量问题,识别准确率达到96.43%。 In views of the normalizing annealing furnace roll marks problem occurred in the process of normalizing annealing of silicon steel in Baosteel,by combining big data from actual production with product quality problems,data mining and data analysis methods were applied to actual production to solve the pain points and provide decision support,a robust and practical data analysis method for the steel production process has been developed,which avoided the previous problems of omission and non-quan...
节能电机用无取向电工钢带退火工艺的试验与应用
针对节能电机对无取向电工钢在磁性能方面的特殊要求,采用普通W600牌号的热轧板为原料,通过大量的现场工艺试验,研究总结出了\"超低张力\"的运行工艺、\"先快后慢\"的加热工艺、\"先湿后干\"的退火脱碳工艺、\"先缓后急\"的冷却工艺,生产出P1.5/50≤4.0 W/kg、B50≥1.70 T的冷轧电工钢产品,满足了节能电机的要求。 Based on the special requirements of no-oriented electrical steel for saving energy motor in magnetic aspects,using common W600 brand of hot rolled plate as raw material,through a large number of real tests,an ultra-low tension process,heating process which was quick at first and then slow,annealing decarburization process which was dry after the first wet,and a cooling technology of \"slow after the first urgent\" were concluded.Electrical steel product with P1.5/50≤4.0W/kg,B50≥1.70T was produced...
传统和薄板坯连铸连轧流程生产无取向电工钢对比
以不断增长的薄板坯流程为背景,与传统流程对比分析了薄板坯流程无取向电工钢热轧晶粒组织特征;以50W800和50W1300钢为典型实例,探讨了两种流程下成品板晶粒组织、织构、磁性能及其磁时效行为的基体差异和相关原理。研究表明,薄板坯流程热轧板组织较粗大,有利于在成品板中获得粗大的晶粒和有利的织构,从而得到较低的铁损和较高的磁感。然而,薄板坯流程会造成第二相粒子的细小弥散分布与不充分析出,容易因磁时效而使磁性能恶化。 Based on the rapid development of compact strip production(CSP) processing,the characteristics of hot band grain structure produced by CSP processing were analyzed in comparison with those of conventional technology.The basic differences in grain size,texture,magnetic properties and the magnetic aging behaviors of the final sheet products produced by the two processing technologies and the corresponding principles were discussed,while steel 50W800 and 50W1300 were taken as examples.It is indicat...
冷轧大压下量下新型无取向电工钢的退火组织演变
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...
基于人工神经网络-遗传算法的取向硅钢刻痕工艺优化
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...
基于Matlab的硅钢连续退火线纠偏系统分析及仿真
硅钢连续退火线是无取向硅钢生产的成品线。由于受机组布置的影响,带钢经转向辊进出口活套后,当套量达到60%后就出现偏离生产线的情况,从而影响最终产品的质量及成材率,甚至损坏设备。针对某冷轧厂硅钢连续退火机组出口活套入口处带钢跑偏开展纠偏研究,利用Matlab对该纠偏系统进行动态仿真研究,分析系统的稳定性。 Silicon steel continuous annealing line is non oriented silicon steel production of finished product line.Due to the influence of unit layout,strip by roll Import & Export loop,when the set volume reached 60% after the emergence of deviation from the production line,thus affecting the quality of the final product and the rate of finished products,and even damage the equipment.For the export of continuous annealing line in cold rolling silicon steel strip deviation rectification loop at the e...
热轧组织对无取向硅钢织构的影响
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...

