钢厂
120t转炉冶炼无取向硅钢脱硫技术研究
结合冶炼无取向硅钢的生产实际,对钢中硫的来源,以及炉渣性质、钢水温度、底吹强度对脱硫的影响进行了分析。研究表明,转炉钢中硫的主要来源为铁水、废钢、铁水渣及石灰带入;冶炼硅钢时,终渣碱度为3.0~3.5,w((FeO))≤20%,终点钢水温度大于等于1 680℃,加大底吹搅拌强度能提高转炉脱硫效果。硅钢平均出钢硫的质量分数为0.004 8%,能满足无取向硅钢对硫含量的要求。 With the actual production of non-oriented silicon steel,the source of sulphur and the effect of metallugic parameters like slag properties,temperature of molten steel and bottom stirring on desulphurizing ability were investigated.The results show that the main source of sulphur is molten metal,scrap,the remaining slag volume in hot metal and lime.The degree of desulphurization for smelting silicon steel can be increased through adopting the following measures,such as the basicity of finishing ...
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 ...
高温卷取的热轧态原料与常化态原料生产高牌号无取向硅钢的比较
研究了采用高温卷取热轧态原料和常化态原料生产高牌号冷轧无取向电工钢组织、织构和磁性能。研究发现钢卷采用750℃高温卷取,下线后立即采用\"保温罩\"对钢卷进行保温,时间96h,然后空冷至100℃时上线生产的工艺可取代常化工艺生产高牌号冷轧无取向电工钢。冷轧上线前,热轧态原料的表层为大量的再结晶组织,这部分组织包括了热轧轧制时保留下来的动态再结晶组织,钢卷本身高温回复后产生再结晶晶粒,以及在保温罩内保温时形成的再结晶组织。高温卷取的热轧态和常化态的热轧卷作为原料时,试样织构类型相似,取向分布密度接近,再结晶后织构类型仍然相似,取向分布密度仍然接近。Goss织构对磁性能增加有促进作用。实验钢中较好的磁性能对应的织构[{100}+Goss]/{111}的比值较高,体现了织构的遗传性。 Microstructure,texture and magnetic properties of high grade cold rolled nonoriented electrical steel which made of hot rolled material with high temperature coiling and with normalization were studied.Steels coiled in high temperature(at 750 ℃),stacked with insulation cover for 96hand air cooled to 100 ℃ were using to manufacture high grade nonoriented electrical steel.The process can replace the normalization process.There are a lot of recrystallized grains in the surface layer of the coil wit...
初次再结晶退火工艺对3%Si取向硅钢组织和织构的影响
试验研究了0.3 mm取向硅钢冷轧板(/%:0.046C,3.07Si,0.09Mn,0.029P,0.004S,0.005A1)的退火温度(760~880℃7 min)和退火时间(820℃3~9 min)对该钢的晶粒尺寸,再结晶和织构的影响。结果表明,最佳初次再结晶退火工艺为820℃5 min,该钢的平均晶粒尺寸为14.20μm,完全再结晶率为92%,不利{111}<110>结构含量为3.16%,有利织构{111}<112>,{012}<001>和高斯织构含量分别0.40%,4.73%和2.46%。 The effect of annealing temperature(at 760 ~ 880 X.for 7 min) and time(at 820℃ for 3~9 min) on grain size,recrystallization rate and texture of 0.3 mm cold-rolled sheet of oriented silicon steel(/%:0.046C,3.07Si,0.09Mn,0.029P,0.004S,0.005Al) has been tested and studied.Results show that with optimum recrystallized annealing at 820℃ for 5 min,the silicon steel average grain size is 14.20 fun,the complete recrystaUization rate is 92%,the unfavourable-texture {111}< 110 > content in steel is ...
冷轧无取向硅钢冶炼过程炉渣分析
对冷轧无取向硅钢在冶炼过程中各个工序的顶渣进行了检测,分析了顶渣变化原因,并得出结论:硅钢生产宜采用复吹转炉,以降低吹炼终点渣中TFe含量,进而减轻对精炼的压力;使用低S、低Al2O3含量中间包覆盖剂;RH脱氧及合金化顺序采用先加硅铁后加铝;首罐宜经LF提温并降低渣中TFe。 The top-surface slag used for the various production processes in smelting coldrolled non-oriented electrical steel is tested and based on tested results the cause of the top surface slag change is analyzed.So it is concluded that the combined blown converter is more suitable to be used for smelting electrical steel in order to reduce the content of TFe in slag at blow end point and then much better results can be achieved during the period of refining.Secondly the tundish flux contenting low co...
高磁感取向硅钢生产技术与工艺的研发进展及趋势
采用节能、环保、经济型的生产技术与工艺来制造高磁感取向硅钢目前已成为世界各大取向硅钢生产厂的研发热点。总结了国内外各大钢铁企业与研究机构采用低温板坯加热技术生产高磁感取向硅钢的开发及应用情况,概括了传统流程实现低温板坯加热技术的方法。介绍了薄板坯连铸连轧与双辊薄带连铸等短流程工艺生产高磁感取向硅钢的研发现状。在此基础上,探讨了高磁感取向硅钢生产技术与工艺的发展趋势及方向。 Utilizing energy-efficient,environmentally friendly,economic production processes and technologies to manufacture high magnetic induction grain-oriented silicon steel has become the focus of current research work.Based on using low-temperature slab reheating techniques to produce high magnetic induction grain-oriented silicon steel at both iron and steel enterprises and research institutions all over the world,the current application and exploitation was thoroughly generalized;the implementation...
高温退火气氛对硅钢表面硅酸镁底层形貌的影响
对取向硅钢在不同气氛下的高温退火工艺进行实验室模拟，利用X射线衍射仪（XRD）分析了硅钢退火至900℃和1170℃时的样品表面氧化层和底层的物相组成，采用场发射扫描电镜（SEM）观察了样品表面氧化层和底层在截面方向上的微观形貌特征，并计算了高温退火一次升温阶段氧化反应的吉布斯自由能以及900℃时退火气氛的氧分压。结果表明：当退火气氛的露点温度保持一定时，较高的氢气含量有利于生成完整连续的底层；当退火气氛的水氢分压比保持一定时，在露点温度与氢气含量两者较低的条件下，底层附着性不佳易脱落，较高条件下，底层中夹杂着较多的铁单质；当氧化层中无FeO时，底层完整连续但易脱落，当FeO层较薄时，底层下方存在部分未反应的SiO2,当FeO层较厚时，底层不完整连续且有分层。 The high temperature annealing process of grain-oriented silicon steel in different atmospheres was simulated in the laboratory. X-ray diffractometer（XRD） was used to analyze the phase compositions of the surface oxide layer and forsterite film of the silicon steel annealed to 900 ℃ and 1170 ℃. Field-emission scanning electron microscopy（SEM） was used to observe the micro morphology characteristics of the surface oxide layer and forsterite film of the samples in the cross section direction. The ...
离散粒子群优化算法在硅钢涂层近红外光谱厚度检测中的应用研究
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...
