钢厂
电子探针波谱仪定量测定硅钢中硅含量结果的不确定度评定
依据GB/T 15616—2008《金属及合金的电子探针定量分析方法》,采用电子探针波谱仪对某W600硅钢中的硅含量进行了定量测定,对影响其定量测定结果的不确定度分量进行了分析,并对不确定度的各个分量进行了计算和合成,最后给出了硅钢中硅含量测定结果的不确定度报告:该硅钢中的硅含量(质量分数)为1.50%,扩展不确定度U=0.20%,取包含因子k=2。 According to GB/T 15616-2008\"Quantitative Method for Electron Prohe Microanalysis of Metals and Alloys\",the quantitative results of Si content in some W600 silicon steel was measured hy EPMA-WDS.The uncertainty components which might affect the measurement results were considered,calculated and synthesized. Finally the uncertainty result for the quantitative value of Si content in the silicon steel was got.The mass content of Si was 1.50%,and expanded uncertainty U=0.20%under the condition of co...
常化退火处理对无取向硅钢组织和织构的影响
采用光学显微镜和X射线衍射仪研究了常化退火处理对无取向硅钢热轧板和成品退火板显微组织和织构的影响。结果表明:常化退火处理消除了热轧板中的变形组织,促使变形晶粒完成再结晶;常化退火处理使高斯织构和立方织构易通过再结晶在变形带内形核和长大,可显著降低成品退火板的{111}和{112}不利织构组分的占有率,提高{100}和{110}有利织构组分的占有率,从而有利于提高无取向硅钢成品板的磁性能。 The effect of normalizing annealing treatment on microstructure and texture of non-oriented silicon steel hot rolled plates and final products were investigated by means of optical microscope and X-ray diffractometer analysis.The results show that the deformed microstructure of the hot rolled plates transformed into recrystallized grain after normalizing annealing treatment.The grains of Goss texture and cubic texture crystallographic orientation were formed and grown by recrystallization in the...
一类非线性系统控制方法在硅钢生产上的应用
硅钢工业退火炉温度控制具有强耦合、纯滞后、多扰动等特点,它的控制方法代表着一类非线性系统控制的解决方法。以硅钢工业退火炉温度为控制对象,在双交叉限幅控制的基础上引入了智能学习系统,形成了基于智能学习系统的双交叉限幅控制方法来解决此类非线性系统的控制问题,并通过模块化的编程来实现其功能。结果表明:与传统的PID控制相比,该控制方法的控制精度、抗扰性等控制指标有明显提高,是解决此类非线性控制的一种有效方法。 The temperature control of silicon steel industrial annealing furnace has the features of strong coupling,pure lag,multidisturbance. The control method represents the solution of a class of nonlinear control systems. The control object is the temperature control of silicon steel industrial an-nealing furnace, the intelligent learning system based on Double Across Limit Control is introducedand used to solve control problem of this kind of nonlinear system, and the module programming isused to re...
电工钢检测方法及标准综述
综述了电工钢从生产到成品过程中涉及到的检测项目、检测方法及仪器,并通过对电工钢标准的发展改进,详细阐述了我国现有的电工钢技术标准体系,同时对代表企业的电工钢重点指标进行了摘录对比,为综合应用电工钢检测方法并促进电工钢的发展提供了一定的参考。 This article summarizes the testing items,methods,and instruments involved in the process from manufacturing to finished products of electric steel. The current electric steel technical standards system in our country is also elaborated in detail,along with the development and improvement of electric steel standards. Meanwhile,by comparison of electric steel KPI in representitive companies,this article provides references for comprehensive application of electric steels testing methods and promo...
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...
无取向硅钢中的夹杂物析出在线观察
借助高温激光共聚焦显微镜,在线观察了不同Mn含量的无取向硅钢中夹杂物的尺寸、类型、数量变化。结果表明,Mn含量(质量分数)为0.77%、0.32%时,试样中的夹杂物数量分别约为1000万个/mm3、1600万个/mm3。Mn含量较高的钢种,会优先析出球形、椭球形MnS夹杂物,其析出数量较少,尺寸相对较大,可以有效抑制AlN、CuxS夹杂物析出;Mn含量较低的钢种,会在试样再加热后冷却过程中,先析出相当数量MnS夹杂物,并作为AlN夹杂物析出核心,形成MnS+AlN复合夹杂物。这种复合夹杂物数量较多,尺寸也较大。 Based on the high temperature confocal microscope, the chage of size, type, and quantity of inclusions in non-oriented silicon steels with different Mn content were observed by in-situ SEM. Results show that the inclusion quantities are 10 million per mm3 and 16 million per mm3,while the mass fractions of Mn are 0.77% and 0.32%, respectively. In the silicon steel with higher Mn content, the spherical and ellipsoidal MnS inclusion will precipitate first, which can retard the precipitation of AlN ...
常化冷却工艺对低温取向硅钢组织及析出相的影响(英文)
利用OM、TEM与EDS技术,对Fe-3.2%Si低温取向硅钢热轧板进行不同常化冷却工艺处理后的显微组织、析出相及最终产品的磁性能进行分析,并与热轧板的组织和析出相进行对比。结果表明,常化板较热轧板的表层组织均匀,基体中再结晶比例增加,带状组织变窄;常化板中析出物的数量明显比热轧板的多,析出物主要有AlN、MnS及复合析出的(Cu,Mn)S等。在常化温度1120℃、保温3 min的条件下,采用二段式冷却较空冷、淬沸水、淬常温水的冷却工艺,常化板表层显微组织更均匀,沿板厚方向的显微组织的不均匀性显著,取向硅钢的磁性能最高;常化后采用二段式冷却工艺析出的细小析出物数量最多,且弥散分布在基体中,抑制剂的抑制效果最好,对成品获得高磁性最有利。 Microstructure, precipitate and magnetic characteristic of final products with different normalizing cooling processes for Fe-3.2%Si low-temperature hot-rolled grain-oriented silicon steel were analyzed and compared with the hot-rolled plate by optical microscopy(OM), transmission electron microscopy(TEM), and energy dispersive spectrometry(EDS). The results show that, the surface microstructure is uniform, the proportion of recrystallization in matrix increases, and the banding textures are nar...
制备硅钢级氧化镁前驱体的原料水化研究
以青海盐湖水氯镁石为初级原料,采用喷雾热解法制备原料氧化镁,原料氧化镁通过水化制备硅钢级氧化镁前驱体氢氧化镁。原料氧化镁水化实验中对水化剂、水化温度、水化时间、液固比、搅拌速度及陈化时间对水化率、过滤速度和纯度的影响进行系统研究。采用均匀实验设计和DPS数据处理,(依次)通过建模分析、二次多项式模型回归建立数学模型,再通过各因素方差分析和总方差分析,确定了理论最优实验条件,再用理论最优条件作重复实验进行验证,最终确定了原料氧化镁的最佳水化条件。在水化温度60℃,水化时间105 min,液固比4,陈化时间4 h,水化剂1含量4.0%,水化剂2含量3.15%,洗水量4倍,搅拌速度120 r/min时,原料氧化镁的水化率达99.50%以上,得到的硅钢级氧化镁前驱体氢氧化镁纯度高、过滤性能良好。 By spray pyrolysis method,bischofite in Qinghai salt Lake,as primary raw material,was used to prepare precursor raw material MgO for silicon-steel MgO.The precursor raw material MgO was used for preparing Mg(OH)2 which was the precursor of silicon-steel MgO,by hydration method.In the hydration experiment of precursor raw material MgO,some experiment parameters were investigated systematically.such as the hydrated agent,the temperature and time of hydration,liquid/solid ratio that affected the hy...
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...
热轧无取向低硅钢SGG的研制开发及生产
针对川威950的工艺现状,结合无取向低硅钢SGG生产的工艺特点,主要从控制其钢坯加热和轧制以及终轧温度和卷曲温度几方面入手,进行无取向低硅钢生产的工艺控制研究。同时根据近6000吨的生产实践表明,该工艺措施能很好的满足该钢种的需要。 950 process Chuanwei status quo,with non-oriented silicon steel production process features low,mainly from the control of billet heating and rolling and finish rolling temperature and coiling temperature of several aspects,for non-oriented silicon steel production process of low control at the same time According to nearly 6,000 tons of production practice shows that the process measures could well meet the needs of the steel.
铬、锰及退火温度对无取向硅钢组织性能影响
为探究铬、锰元素及退火温度对高强无取向硅钢性能的影响规律,借助OM、SEM、EBSD与万能拉伸试验机等分析不同制造工艺下3组不同含量铬、锰元素的无取向硅钢热轧、常化及退火处理后组织与性能。结果表明,试验钢热轧后组织不均匀,心部为沿轧向分布纤维状组织,边部为少量再结晶晶粒,常化处理能显著改善热轧板组织均匀性,消除热轧板中心部位的纤维状组织。经冷轧及退火后得到多边形铁素体晶粒,其中960℃退火,晶粒尺寸偏大,有利织构{100}组分体积分数减少,不利织构{111}组分体积分数增加,成分为0.2Mn-1Cr的1号试验钢960℃退火后铁损最大,磁感强度偏小;成分为0.5Mn-1Cr的2号试验钢930℃退火后,磁性能与强度等综合性能最佳,工频铁损P1.5/50为2.41W/kg,高频铁损P1.0/400为17.36W/kg,磁感应强度B5 000为1.638T,抗拉强度为685MPa。 In order to study the effect of Cr,Mn and annealing temperature on the properties of high-strength non-oriented silicon steel,the microstructure and properties of three groups of non-oriented silicon steel with different Cr,Mn content under different manufacturing processes were analyzed by means of OM,SEM,EBSD and universal tensile tester.The results show that the structure of experimental steel is not uniform after hot rolling,and the core is distributed in fibrous structure along the rolling ...
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...

