钢厂
双辊连铸法制备硅钢薄带的组织和性能
采用双辊连铸工艺制备了硅的质量分数分别为0.5%,1.0%,3.0%,4.5%的硅钢薄带,用光学显微镜观察其组织,并研究了后处理工艺对薄带组织和性能的影响。结果表明:硅含量为0.5%和1.0%的薄带适合采用一次冷轧+850~950℃退火的后处理工艺,而硅含量在3.0%以上的薄带适合采用二次冷轧+950℃退火的后处理工艺;硅含量为3.0%和4.5%的薄带在冷轧并950℃退火后,其磁性能最佳,铁芯损耗约为4.30 W·kg-1,磁感应强度约为1.68T。 Silicon steel thin strips with silicon content of 0.5wt%,1.0wt%,3.0wt%and 4.5wt%were prepared by twin-roll continuous casting process,and the microstructure of the strips were observed by means of optical microscopy,and on the basis,the effect of post-treatment process on microstructure and properties of the strips was studied.The results show that the post-treatment process of one-time cold rolling and annealing between 850—950℃was suitable for the strips with silicon content of 0.5wt%and 1.0wt...
常化温度对TSCR流程制备低碳低硅无取向硅钢组织和性能的影响
在实验室试制了TSCR流程的低碳低硅无取向硅钢,研究了在850~1050℃不同温度常化对冷轧量0.5mm厚钢板再经950℃×7min退火后的组织、织构和磁性能的影响。结果表明:随常化温度的升高,使热轧板晶粒尺寸增大,晶界更清晰,组织均匀性更好;由于第二相AlN和MnS析出物尺寸比较大,使冷轧退火后钢板晶粒也随常化温度升高呈单调增大趋势;γ有利织构和{111}、{112}不利织构与常化温度升高同时增强,但前者增强更多;冷轧板退火后铁损随常化温度升高呈单调下降,磁感呈单调上升趋势。 The low-carbon and low-silicon non-oriented silicon steel was prepared by thin slab casting and rolling(TSCR) in lab.The effect of normalizing at different temperatures in 850-1 050℃on microstructure, texture and magnetic properties of 0.5 mm cold-rolled sheets after annealing at 950℃for 7 min was researched. The results show that with increasing the normalizing temperature,the grain size of hot-rolled sheets increased,the grain boundaries were more clear and the rnicrostructure uniformity was b...
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 ...
提高硅钢卷材下料利用率的几种方法
阐述了影响硅钢卷材下料利用率的因素,并结合具体事例利用计算机排样系统进行了详细分析,对提高硅钢卷材的利用率具有一定的指导作用。 It describes the factors influenceing the the utilization ratio of the roll of Silicon steel,and analyzes it in detail combined with concrete examples by a computer arrangement system,which can give a guide for increasing the utilization ratio of the roll of Silicon steel.
RH精炼喂CaSi线去除无取向硅钢中的非金属夹杂物
结合工业化生产的无取向硅钢,进行了RH精炼喂CaSi线去除钢中的非金属夹杂物试验研究。针对不同的钙处理条件,分析了CaS夹杂生成热力学,观察了夹杂物的形貌和尺寸分布,确定了夹杂物的类型、数量,探讨了钙处理后钢中夹杂物的变化规律。结果表明,本试验条件下,钙处理可以有效抑制MnS、AlN夹杂物的生成,有效促进钢中微细夹杂物的聚合、上浮、去除,钢质纯净度明显提高。经过合适的钙处理后,钢中的夹杂物以独立存在的CaO为主,同时有少量含CaO、SiO2、MgO的复合夹杂,没有发现CaS夹杂存在。这部分夹杂物的尺寸集中分布在2~20μm,数量约为1.8×105个/mm3。 Experimental study on removal of non-metallic inclusions in non-oriented silicon steel obtained from industrial production by CaSi wire feeding during RH refining process was carried out.The thermodynamics of CaS inclusion formation was analyzed,the morphology and the size distribution of inclusions were observed,and the numbers and types of inclusions were also determined for the steel specimens treated under different calcium treatment conditions.Furthermore,the variation of inclusion characte...
无取向电工钢表面线状缺陷的影响因素分析
结合扫描电镜和大样电解研究了CSP流程W800牌号无取向电工钢表面线状缺陷中夹杂物成分及来源,采用SPSS软件回归分析了生产过程各因素对表面线状缺陷的影响。研究表明:稳态浇铸过程铸坯中大型夹杂物含量为5.39 mg/10 kg。引起无取向电工钢表面线状缺陷的大型夹杂物主要为脱氧产物、镁铝尖晶石和钢包顶渣,主要类型为Al2O3、MgO-Al2O3、CaO-Al2O3-MgO和CaO-Al2O3-SiO2。非稳态浇铸过程钢水洁净度明显降低,热轧板表面线状缺陷比例上升。影响表面线状缺陷的主要因素为RH出站时顶渣的w(CaO)/w(Al2O3)、RH脱氧结束氧位及中间包最低吨位。 Combining scanning electron microscopy and large sample electrolysis, the composition and source of inclusions in the surface linear defects of W800 grade non-oriented electrical steel in the CSP process were studied. SPSS software was used to regress and analyze the main factors which affected the surface linear defects in the steelmaking process. Research shows that the content of large inclusions in the steady state casting process is 5.39 mg/10 kg. The large inclusions which cause linear def...
新型无取向电工钢在退火过程中组织和织构取向的演变
通过金相分析和电子背散射衍射技术研究了一种新型含铜无取向电工钢在950℃退火不同时间(3~180s)空冷后的组织和织构取向的演变。结果表明:该钢在退火3s时的主要织构为α和γ线织构,{100}<110>织构最强;退火20s时织构以<111><112>、{111}<110>、{112}<110>、高斯织构和立方织构为主,随着退火时间的延长,高斯织构和立方织构强度呈减弱趋势;合理控制保温时间有利于提高{100}、{110}面织构的占有率。 Evolution of microstructure and texture oriented of a new non-oriented electrical steel during annealing at 950℃for different times(3-180) s and air cooling was studied by metallography and electron back-scattering diffraction analysis.The results show that after annealing for 3 s most of the texture oriented alongα-fibre andγ-fibre,the intensity of {100}〈110〉was the strongest.{111}〈112〉,{111}〈110〉,{112}〈110〉,Gauss texture and cube texture were the main texture after annealing for 20 s,with the ...
国内外中低牌号无取向硅钢夹杂物控制效果解析
选用国内外无取向硅钢标杆企业A、B、C的产品,采用非水溶液电解提取+SEM(EDS)方法,分析了其典型牌号对应成品试样中的夹杂物。结果表明,从磁性能控制角度而言,受钢的化学成分及生产工艺影响,A、B、C企业成品试样的夹杂物尺寸、种类、数量存在差异,这些差异对其磁性能产生显著影响;从夹杂物控制角度而言,A、B、C企业对应成品试样的夹杂物,以MnS、CuxS复合或者AlN、MnS、CuxS复合为主,其中1.0μm以下的夹杂物数量分别为2.34×107个/mm3、2.98×107个/mm3和11.98×107个/mm3,1.0μm以上夹杂物数量均很少,夹杂物的平均尺寸从大到小依次为A企业、B企业、C企业。 According to the production of three benchmarking manufacture enterprises A,B and C of non-oriented silicon steel at home and abroad,the inclusions in finished steel samples with typical grades were investigated by electrolytic extraction from non-aqueous solution and SEM(EDS).Results show that,from the viewpoint of improving the magnetic properties,affected by chemical composition and production technique,the size,type and amount of inclusions in finished steel samples are various,which will af...
碳化法制备硅钢氧化镁过程中杂质脱除研究
以轻烧氧化镁粉为原料,经消化、碳化制得重镁水,在热解反应前采用络合剂对重镁水中的杂质钙、铁进行络合掩蔽,再经热解得到碱式碳酸镁,碱式碳酸镁经煅烧可制得钙、铁杂质含量较低的氧化镁。在重镁水络合除杂过程中,考察了络合剂三乙醇胺、柠檬酸、草酸单独和复合使用的除铁、除钙效果。以三乙醇胺为络合剂时,在200 mL重镁水中加10 mL三乙醇胺(1∶1),氧化镁产品中w(氧化镁)=99.3%、w(氧化钙)=0.31%、w(氧化铁)=0.042%;使用草酸和柠檬酸作为复合络合剂时,在200 mL重镁水中加入1.0 g柠檬酸和2.0 g草酸,氧化镁产品中w(氧化镁)=98.2%、w(氧化钙)=0.24%、w(氧化铁)=0.030%。 Light-burned magnesia as a raw material was hydrated and carbonated to obtain magnesium bicarbonate liquor.Before the pyrolyzing of magnesium bicarbonate liquor,complexants were used to cover Fe and Ca impurities.Then the treated liquid was pyrolyzed to obtain basic magnesium carbonate which was calcined to magnesium oxide with low calcium and iron content.During the complexing purification of magnesium bicarbonate liquor,the Fe and Ca removing effects of single or compound complexing agents,suc...
退火温度对无取向电工钢组织和磁性能的影响
主要研究了0.7%Si无取向电工钢退火试样的组织、晶粒尺寸和织构对其磁性能的影响。结果表明,随着退火温度的升高,晶粒尺寸逐渐增大,组织的均匀性得到改善;ɑ取向线上的纤维织构多集中于{114}<110>和{223}<110>附近,再结晶结束后,织构含量变化不大。{111}<110>织构取向密度值随温度升高而下降,{112}<111>织构与{111}<110>织构变化相反。晶粒尺寸增大对磁感强度的影响较小,而对铁损的影响较大。 Influences of microstructure,grain size and texture on the magnetic properties of 0.7% Si non-oriented electrical steels annealed samples were studied.The results show that with annealing temperature increasing the average grain size is increased gradually.Uniformity of the microstructure is improved;the textures of ɑ-fiber gathered in the vicinity of the { 114} < 110 > and { 223 } < 110 > texture.After recrystallization,the volume fraction of texture changes small.{ 111} < 110 &g...
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...
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...

