钢厂
钙合金处理硅钢中的夹杂物及晶粒成长变化
采用RH精炼添加钙合金方式对硅钢进行钙处理,结果表明,钙合金添加量为0.67、1.00和1.67 kg/t钢时,钢中Ca含量分别为0、2×10-6和4×10-(6质量分数);随着钙合金添加量的增加,钢中夹杂物粒度逐渐由0～2μm向2～4μm、4～6μm偏移;不同钙处理条件下,钢中均存在粒径小于1μm和粒径为1～5μm的MnS、CuxS夹杂物,后者或单独存在,或与AlN、CaS夹杂复合;钢中粒径为5～10μm的夹杂物基本以Ca的氧化物和硫化物为主。与未经钙处理的炉次相比,钙合金添加量为0.67、1.00和1.67 kg/t钢时,粒径小于1.0μm的夹杂物减少幅度分别为68.06%、87.50%和94.94%。钙合金添加量为1.67 kg/t钢时,可以去除钢中绝大部分的微细夹杂物。 In order to improve the properties of final silicon steels,the calcium treatment was adopted by adding Ca alloys into the liquid steel during the RH refining process.Results show that when the addition of Ca alloys is 0.67 kg/t,1.00 kg/t and 1.67 kg/t,the corresponding Ca content in silicon steels is 0,2 × 10-6 and 4 × 10-6 respectively.With the increase of Ca alloy addition,the particle sizes of inclusions in steels become 2～4 μm and 4～6 μm,from 0～2 μm.Under different calcium treatments,there e...
二次冷轧中间退火对基于CSP工艺的取向硅钢组织及织构的影响
在实验室模拟CSP工艺条件下制备了取向硅钢,研究了二次冷轧中间退火工艺对组织和织构的影响。结果表明,中间退火温度对取向硅钢脱碳,高温退火组织及织构均产生明显影响。经940℃中间退火后,取向硅钢脱碳再结晶晶粒较850℃中间退火的多,且再经高温退火处理后,晶粒粗化,最大晶粒尺寸达4.8 mm;高斯织构组分密度达27.00,较850℃中间退火试样高。 Grain-oriented silicon steel was prepared by simulated CSP technology in laboratory. Effects of secondary cold-rolled intermediate annealing on microstructure and texture were studied. The results show that intermediate annealing has obvious effects on the microstructure and texture of the steels after decarburization annealing and high temperature annealing. After intermediate annealing at 940 ℃,recrystallized grain of decarburization annealed steel is more than that of intermediate annealed at...
脱碳温度和脱碳时间对CGO取向硅钢碳含量控制的试验研究
通过测试取向硅钢不同工艺条件下的碳含量,探讨了CGO取向硅钢碳含量控制的最优处理条件,研究了脱碳温度和脱碳时间对相同初始碳含量取向硅钢的脱碳效果的影响。结果表明,在气氛为(15%~20%)H2+(75%~80%)N2,炉压差为10~20 Pa的条件下,CGO取向硅钢合适的脱碳温度为1 073 K~1 123 K,脱碳时间为10~20 min。在该处理条件下,能取得较好的脱碳效果。 By means of testing carbon content of oriented silicon steel below the distinct technical conditions,inquires the excellent handle terms of carbon content controlling for CGO oriented silicon steel,studies effects of decarburization annealing temperature and decarburization annealing time to the oriented silicon steel decarburization efficiency in same initial carbon content.The results show that,under the condition of atmosphere(15% ~ 20%) H2+(75% ~ 80%)N2 and furnace pressure difference 10 ~ 2...
退火温度对2%Si无取向电工钢磁性能的影响
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...
高效电机用冷轧无取向电工钢退火板析出物的析出特征研究
通过热力学计算,分析了实验钢中主要析出物析出的可能性。结果表明:在液相和固液两相区中,AlN和MnS均不能析出;在奥氏体区,AlN和MnS具备热力学析出条件,平衡析出温度分别为1547、1582 K。成品退火板中的析出物主要为AlN和MnS。扫描电镜下观察到的AlN形貌多为长条状,MnS形貌多为棒状或近似球形。这两种析出物占了析出物总量的85%以上,尺寸集中分布在400~800nm;复合析出物主要是(Al2O3+MnS)和(AlN+MnS),形貌不规则,尺寸集中在0.7~1.5μm;透射电镜下观察到了少量100nm以下独立的AlN析出。 According to thermodynamic calculation, the precipitation probability of precipitates was analyzed, AlN and MnS can not precipitate in liquid phase area and solid-liquid two-phase area. In austenite area, both the AlN and MnS have precipitation condition in thermodynamics and precipitates at 1547 K and 1582 K, respectively. The precipitates in annealing plate are mainly AlN and MnS. The shape of AlN is mostly strip, and MnS is stick or near sphericity. They accounted for over 85% of the total qu...
无取向硅钢钢液增钛原因分析
对无取向硅钢炼钢全流程钢液增钛的原因进行了分析,认为铁水钛含量、转炉出钢温度、转炉下渣量、精炼渣TiO2含量、钢水罐及RH浸入管混钢种生产是影响钢液增钛的主要原因。通过采取低钛铁水冶炼,减少转炉下渣量,提高出钢温度,添加白灰改质精炼渣等措施,均能够降低钢液中的钛含量。 After analyzing the causes leading to increased content of titanium in molten nonoriented silicon steel during whole steelmaking process, it was concluded that such factors as content of titanium in hot metal, tapping temperature from converter, quantity of roughing slag entered into the ladle from converter, content of TiO2 in refining slag, molten steel ladle car,carrying out the steelmaking of different steel grades by the same ladle and same RH immersion tube were the main causes ...
电动汽车电机用电工钢疲劳性能测试技术研究
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.
TSCR热轧工艺对3.2%Si无取向硅钢组织性能的影响
研究了薄板坯连铸连轧流程(TSCR)条件下热轧工艺对3.2%Si-0.7%Al无取向硅钢组织、织构演变及磁性能的影响规律。结果表明,提高均热温度和热轧温度有助于获得粗大的变形组织和强烈的{001}〈110〉织构,进而对后续的组织、织构演变进程及磁性能产生有利的遗传影响。与低温均热和低温热轧相比,高温均热和高温热轧得到的最终成品板的再结晶晶粒较粗大,λ纤维再结晶织构较强而γ纤维再结晶织构较弱,磁感应强度较高。 It was investigated that the effects of thin slab cast rolling(TSCR) hot rolling processes on microstructural,textural evolution and magnetic properties of 3.2%Si-0.7%Al non-oriented silicon steel.The results show that much larger hot rolling deformed microstructure and much stronger {001}〈110〉 texture could be obtained by increasing the soaking and hot rolling temperatures,which had good heritable effects on subsequent microstructural,textural evolution and magnetic properties.The final sheets ...
大数据技术在硅钢产品质量管控中的应用实践
磁性能指标是硅钢产品最关键的质量指标之一，但是目前磁性能判定100%依赖于样品的离线实验室检测结果，生产线配置的在线检测仪的测量结果由于精度问题，不宜直接用于成品牌号判级。本文在现有硅钢产品质量管控体系基础上，利用大数据技术对生产数据进行分析与建模，构建不同磁性能指标在线检测模型，并在现有信息系统上完成模型库的集成部署，实现硅钢产品全长、多指标磁性能结果的拟合数据输出，支撑取样优化、精准分切、辅助综合判定等功能应用，进一步优化硅钢产品质量管控体系。 The magnetic performance index of silicon steel products is one of the most critical quality indexes.However,at present,100%determination of magnetic performance depends on the offline laboratory test results of samples,and the measurement results of the online detector configured in the production line cannot be applied in practice due to the accuracy problem.Based on the existing quality control system of silicon steel products,big data technology was used to analyze and model the production d...
