钢厂
无取向硅钢冶炼过程中的夹杂物遗传变化
研究表明,硅钢中的夹杂物对成品带钢的磁性能有显著影响。为研究冶炼过程硅钢中的夹杂物遗传变化,进而提出更有效的控制措施加以去除,本文结合典型的无取向硅钢生产炉次,采用非水溶液电解提取+扫描电镜观察方法分析冶炼过程中上述炉次典型试样的夹杂物。结果表明:转炉冶炼结束、RH精炼开始时,钢的氧化物夹杂总量最大,约为0.23%;RH精炼过程中,氧化物夹杂总量不断降低,并在脱碳结束时达到最低,约为0.02%;连铸过程中,氧化物夹杂总量仍有不断降低趋势,但夹杂物的平均尺寸变化不大。本试验条件下,中间包试样的夹杂物数量约为1.59×104个/mm3。 As we all know, the non-metallic inclusion effects magnetic properties of silicon steel sheets obviously. The article aims to study the heredity of non-metallic inclusion in non-oriented silicon steels during the steel making process, and then provides a more effective controlling measure to remove the inclusions. Based on the typical non-oriented silicon steel charges, the non-aqueous solution extraction and SEM observation were adopted to analyze the non-metallic inclusions. Results show that,...
大压下率冷轧无取向硅钢再结晶织构演变
研究了冷轧95%变形量无取向硅钢不同退火温度(710~1 050℃)下再结晶织构特征.再结晶刚完成时(710℃退火),呈现强γ({111<112>~<134>)与弱{114}<481>织构特征;随退火温度升高至900℃,γ明显减弱,{114}<481>组分持续增强,形成典型的{h,1,1}<1/h,1,2>织构;进一步升温至1 050℃,再结晶织构不再发生明显变化.基于EBSD分析,{114}<481>组分的持续强化可归因于其明显的尺寸优势以及较高频率的高能晶界(取向差角为20°~45°). A non-oriented silicon steel was heavily rolled to 95% reduction and subsequently annealed at 710~1 050 ℃ to investigate recrystallization texture evolution.When annealed at 710 ℃ with complete recrystallization,the texture is characterized by a strong partial γ fiber spreading from {111}<112> to {111}<134> and a weak {114}<481> component.As annealing at 900 ℃,γ fiber is decreased significantly while {114}<481> is increased consistently,producing a typical {h,1,1}<1/h,...
氧硫交互作用对硅钢中非金属夹杂物生成的影响
结合工业化生产的无取向硅钢,探讨了氧硫交互作用对钢中夹杂物生成的影响。借助非水溶液电解+扫描电镜法,研究了不同O、S含量下钢中夹杂物的变化规律。结果表明,本实验条件下,提高O含量、降低S含量,会劣化热轧组织再结晶效果。在劣化效果上,O的作用大于S;低Si、无Al硅钢中,应尽可能降低O含量、适当提高S含量,以粗化钢中微细夹杂物,减少尺寸小于1.0μm的夹杂物的数量;O、S含量与钢中夹杂物数量不具有关联性。生产过程中,不仅要严格控制O、S含量,还要严格控制生产工艺,以免生成较多的有害夹杂物。 Based on the industrial production of non-oriented silicon steel,the effects of interaction between oxygen and sulfur on the formation of inclusions were discussed.The change of non-metallic inclusions in steel sheets was investigated by means of electrolysis with non-aqueous solution under different oxygen and sulfur content.Results show that the recrystallization microstructure of hot rolled sheets will be deteriorated with the increase of oxygen content and the decrease of sulfur content.The ...
脉冲磁场退火对取向硅钢磁性能的影响
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...
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...
高效电机用无取向硅钢退火板组织和析出物研究
研究了组织和析出物对高效电机用无取向硅钢退火板磁性能的影响。结果表明:随着退火温度升高,退火板平均晶粒尺寸增加,P15/50明显降低,B50略有升高。退火温度在1 000℃时,退火板的综合性能较好。析出物主要是AlN、(MnS+AlN)和(MnS+Al2O3)复合析出物,尺寸较粗大,主要集中在1.0~2.5μm,还发现少量百纳米以下的细小AlN和TiN。实验室模拟TSCR流程试制的高效电机用无取向硅钢,铁损平均值小于4.00 W/kg,磁感应强度大于1.75 T,适合作中小型高效电机铁芯材料。 Effects of microstructure and precipitation on magnetic property of non-oriented silicon steel sheets after annealing for high-efficiency motor are studied in the paper by experiments.The annealed sheet exhibits a larger average grain size,obviously decreasing iron loss and slightly raising magnetic induction with increasing temperature.The annealed sheet has better comprehensive properties at a annealing temperature of 1 000 ℃.The main precipitates are compounds of AlN、(MnS+AlN)and(MnS+Al2O3) w...
锰含量对无取向电工钢组织性能的影响
研究了锰含量对w(Si)=1.8%Si无取向电工钢组织和性能的影响。结果表明,钢中锰含量从0.3%增加到1.2%时,由于α_γ相变的产生,铸坯低倍组织、热轧板金相组织及成品织构等均发生了不同程度的变化,对成品表面质量及磁性能产生了明显的影响。 The effects of manganese content on structure and properties of w(Si)=1.8% non-oriented electrical steels have been studied.Results show that with increasing manganese content to 1.2% from 0.3%,macrostructure of continuous casting slab,hot rolled band metallurgical structure and finished product texture vary in some extent because of the occurrence of α-γ phase transformation,the surface quality and magnetic properties of finished product are affected greatly.
轧制裂纹及热处理工艺对高硅电工钢复合板磁性能的影响
对3层高硅电工钢复合板铸坯进行热轧及温轧变形加工后,采用正火、退火两种热处理方式处理,并观察轧制过程中产生的裂纹,研究不同状态下复合板的磁性能。对不同状态下的试样进行扩散退火处理,研究复合板中裂纹变化及其对磁性能的影响。结果表明:不同热处理工艺下合金内部的裂纹尺寸差异明显,裂纹尺寸对复合板的磁性能影响显著,相对于深裂纹,其他因素的影响较小;温轧变形加工后,复合板内层出现有序组织,但该有序组织在合金存在深裂纹的前提下并不能从本质上提高合金的磁性能;扩散退火工艺可以消除复合板内部的浅裂纹及微裂纹,但不能消除尺寸较大的裂纹,故而不能显著提高存在深裂纹的复合板的磁性能。 After hot rolling and warm rolling deformation processing of casting billet for three-layer high silicon electrical steel composite plate, it was normalized and annealed for heat treatment. Then, the cracks produced during the rolling process were observed, and the magnetic properties of composite plate in different states were also investigated. Furthermore, the samples in different states were subjected to diffusion annealing treatment, and the changes of crack in composite plate and their eff...
双辊连铸无取向硅钢铸带特征及常化作用研究
双辊连铸技术是冶金及材料领域内的一项前沿技术,对于生产高品质硅钢具有独特优势.本实验研究了一种双辊铸轧w[Si]=4.5%的无取向硅钢,考察其铸态和常化处理后样品的组织、织构及析出相尺寸特征.结果表明:铸带组织以与铸带法向成5~20(°)倾角的柱状晶为主,晶内存在少量0.3~0.4μm的AlN析出相,铸带织构以λ(<001>//ND)织构为主,表层织构漫散.950℃/10 min常化处理后,析出相尺寸增大,表层λ织构增强. As an advanced technique of metallurgy and material science,twin- roll strip casting has unique advantages for producing high quality silicon steel. The present study was aimed at a 4. 5% Si non- oriented electrical steel for analyzing the structure,texture and the size of precipitates at the initial and normalized state. The results revealed that the initial structure mainly consisted of columnar grains with 5 ~ 20( °) angle to the normal of cast strip,and some AlN precipitates of 0. 3 ~ 0. 4 μ...
新能源车驱动电机用电工钢用量解析计算及预测方法
对新能源汽车以及驱动电机的现有市场和未来市场规模进行梳理分析,通过自建计算公式推导出我国2021年1-11月份驱动电机用电工钢的总量,进而预测未来10年中国新能源汽车驱动电机用电工钢情况,为无取向电工钢的生产和在电机中的应用提供有价值的参考。 The current market and future market size of new energy vehicles and traction motors were analyzed,and the total amount of electrical steels used in traction motors in China from January to November 2021 was derived by using self-built calculation formulas,and then the situation in the next ten years of electrical steel used in traction motors of new energy vehicles in China was predicted.It will provide a valuable reference for the production of non-grain oriented electrical steel and its appli...
余热利用系统在硅钢连续退火机组中的应用
介绍了烟气余热利用系统的工艺流程及控制思想,结合该系统在钢厂硅钢连续退火机组中的应用实践,估算出烟气余热利用系统每年可节约蒸汽5 040 t,经济效益良好,同时分析了该系统存在的问题及对策。 Introduced a method about the process and control of the application of waste heat system, which had been used into a silicon steel continuous annealing line and profiting a good economic benefit by saving a large number of steam every year, which has been estimated about 5 040 tons, and analyzed the problems and solutions existed in this system.
云边一体化系统架构下硅钢制造管理业务数字化融合应用
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...

