钢厂
提高硅钢退火炉耐材施工效率的几点经验
主要对硅钢退火炉耐材施工进行阐述,对一期工程与二期工程施工经验进行总结,包括设计、施工、耐材生产、人员素质等方面,指出了工程项目所所存在的不足,为同类型炉窑的施工提供借鉴。 This paper describes the construction of silicon steel annealing furnace refractories;and it was summarized the construction experience of phase-Ⅰ and phase-Ⅱ projects,including design,construction,refractory production,the quality of personnel etc,and pointed out the shortcomings of the project,which provided a reference for the construction of the same type of furnaces.
基于不同B-H曲线的取向硅钢叠片中损耗和磁通的分析与验证
基于TEAM(Testing Electromagnetic Analysis Methods)Problem 21基准模型和不同类型的磁化曲线Bm-Hm及Bm-Hb数据,分别在50 Hz至200 Hz的频率范围内计算了基准模型的硅钢叠片内的损耗及磁通,并考虑集肤效应和材料的电-磁各向异性的影响。数值计算结果与实验测量结果具有很好的一致性。提出的有限元建模方法和基于模拟结果的分析、结论有助于提高大型电力变压器的电磁设计的有效性。 Based on TEAM(Testing Electromagnetic Analysis Methods) Problem 21 standard model and the different B-H(such as Bm-Hm and Bm-Hb) curves,the iron loss and magnetic flux inside the grain-oriented(GO) silicon steel lamination are modeled under different frequency(from 50 Hz to 200 Hz) in this paper,And the influences of skin effect and electric-magnetic anisotropy on the numerical simulation results have been examined.The calculated and measured results with respect to the model are in good agreeme...
本钢薄板坯连铸机生产无取向电工钢的工艺优化
针对本钢薄板坯铸机在生产无取向电工硅钢的过程中存在的铸坯拉断、中包增碳、增氮等问题,进行了连铸工艺优化。通过采用新型无碳中间包覆盖剂、环保中间包干式料及专用结晶器保护渣后,降低了铸坯增碳量;通过控制钢包到中间包的增氮环节,降低钢水增氮;适当增大二冷水量,控制钢水过热度,防止铸坯拉断等生产事故的发生。改进工艺后,精炼后到成品铸坯的平均增碳量能控制在10×10-6以内,平均增氮量能控制在4×10-6以内。 The technology optimization has been adopted for preventing nitrogen increasing and carbon increasing in Benxi thin slab producing non-oriented silicon steel.Measures accordingly were adopted and satisfactory results were achieved.
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...
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 ...
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...
加热温度对W470高硅钢连铸坯氧化铁皮的影响
采用SEM、EDS和XRD对不同加热温度下W470连铸坯氧化铁皮的微观形貌及相结构进行研究。结果表明,W470氧化铁皮难以除去的原因是氧化铁皮熔化,液相包裹着FeO,凝固时发生共晶反应,生成FeO/Fe2SiO4共晶混合物,并深嵌入基体。降低加热炉的加热温度,使连铸坯全程在FeO/Fe2SiO4共晶混合物熔点(1177℃)以下加热,可降低氧化铁皮与基体的结合力,能够有效解决W470除鳞困难问题。 The microstructure and phase structure of iron scale of W470 continuous casting billet at different heating temperatures were investigated by SEM,EDS,and XRD.The results show that the reason why the iron scale of W470 removes hardly is that iron scale is melted and the FeO is surrounded by the liquid phase,which forms FeO / Fe2SiO4eutectic mixture and is embedded into the matrix after solidification.Lowering the heating temperature and keeping the continuous casting billet heating under the melt...
高硅钢织构的研究现状及进展
6.5%(质量分数)Si高硅钢具有优异的软磁性能和广阔的应用前景,然而其室温脆性和低的热加工性极大地制约了它的发展。近年来,人们对高硅钢制备技术的研究已经取得了很大的进展,如何通过织构的优化提高高硅钢的磁性能越来越受到人们的关注,归纳和总结了不同工艺制备的高硅钢中的织构演变规律和特点,以及对应的典型磁性能。 6.5wt% Si high silicon steel has excellent soft magnetic properties and wide application prospect.However,the brittleness of room-temperature and poor workability of cold rolling limit its deve-lopment.Recently,the researches of the preparations of high silicon steel have been already made great breakthroughs,and then,more and more attentions are focused on how to optimizing the texture of high silicon steel so as to obtain the best magnetic properties.The evolution of textures of 6.5% Si high s...
