钢厂
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...
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...
高磁感取向硅钢涂层技术
涂层技术在高磁感取向硅钢生产中起着重要的作用.根据生产实践,介绍了高磁感取向硅钢生产中涂层的种类和作用、涂料的成分和对产品性能的影响、涂层工艺质量控制要点和检验方法等,并提出了通过优化涂层工艺改善高磁感取向硅钢性能和外观质量的方法. Surface coating technique plays an important role in producing high magnetic inductivity grain-oriented silicon steel.Based on production practice,this paper describes the types and function of the coating,the composition of the coating and its effect on the product performance,the quality control and inspection method for the coatings,as well as proposes ways to improve the magnetic property and surface quality of the steel by optimizing the coating process.
提高热轧硅钢凸度精度的工艺措施
以太钢热连轧厂的硅钢为研究对象,利用凸度仪测量热轧带钢出口凸度值,采用矩阵和失效模式的分析方法了解影响带钢凸度变化的主次因素。研究结果表明:通过有效控制轧制过程中的加热温度、时间及采用合理的辊型,硅钢凸度精度提高了4.34%左右。 In this paper,we take the hot-rolled silicon steelsheet of Taigang as the research symbol,exit profile was measured by convex instrument,the primary and secondary factors that affect the strip profile were measured by using matrix and failure mode analysis methed.The results indicate that convexity accuracy has significantly improved by nearly 4.34% through the effective control of the heating temperature,heating time and the use of correct roller type in the process of hot rolling.
稀土铈含量对1.2%Si无取向电工钢组织、织构及磁性能的影响
在实验室模拟CSP流程制备了不同含量稀土铈(质量分数0~0.018%)的1.2%Si无取向电工钢,并对其进行1 000℃×5min的再结晶退火处理,研究了铈质量分数对无取向电工钢夹杂物、显微组织、再结晶织构和磁性能的影响。结果表明:随着铈质量分数的增加,微细夹杂物数量、再结晶晶粒尺寸、{100}和{110}织构组分、磁感应强度先增后减,{111}织构组分、铁损先减后增;铈的质量分数为0.005 1%时,钢中的夹杂物数量最少,再结晶晶粒尺寸最大,有利织构最多,磁性能最优,铁损P15/50为3.253W·kg-1,磁感应强度B50为1.751T。 Non-oriented electrical steels containing different contents rare earth Ce element(0-0.018wt%) were prepared in the laboratory by simulated CSP(compact strip production)process,and then recrystallization annealing at 1 000 ℃ for 5 min were performed,the effects of Ce content on inclusion,microstructure, recrystallization texture and magnetic properties of non-oriented electrical steels were studied.The results show that with the increase of Ce content,the amounts of fine inclusion,the size of re...
高硅FeSi合金层对普通取向硅钢磁性能的影响
目的提高硅钢的磁性能。方法采用多弧离子镀技术,在普通取向硅钢薄板两面沉积高硅FeSi合金层制得高硅梯度硅钢,并进行热处理,观察其显微组织,测量磁性能。结果退火态高硅梯度硅钢表面的高硅FeSi合金层与基底结合紧密,均匀致密。高硅梯度硅钢中硅含量呈梯度分布,最表层硅质量分数为11.0%,随着深度增加,硅含量逐渐降低,在距表面20μm处硅质量分数仍能达到6.5%。沉积态高硅梯度硅钢的电阻率ρ、低频铁损P10/50、高频铁损P10/1k及磁感应强度B8分别为68.6μΩ·cm,0.82W/kg,83.3 W/kg和1.73 T,退火后分别为63.1μΩ·cm,0.44 W/kg,54.38 W/kg和1.89 T。结论由于表层高硅FeSi合金层的存在,梯度高硅钢的低频磁学性能良好,但高频损耗需进一步改善。 Objective To improve the magnetic properties of silicon steel. Methods FeSi alloy coatings with high-silicon content were deposited on the surface of common grain-oriented silicon steel by cathodic arc plasma evaporation,and then a kind of high silicon gradient steel was prepared. The morphologies,content and magnetic properties of the samples were tested. Results FeSi alloy coatings were featured with compact microstructures and excellent adhesive quality with the substrates. The silicon conten...
无取向硅钢成品钢卷头、尾磁性能差异探讨
结合工业化生产过程中出现的同卷带钢头、尾磁性能差异现象,对50SW1300牌号无取向硅钢同卷带钢头、尾试样的夹杂物、晶体织构和显微组织进行了分析研究。结果表明,夹杂物、晶体织构是影响成品钢卷磁性能的重要因素。夹杂物是造成同卷带钢头、尾铁损差异的主要原因。夹杂物数量越多,尤其是小尺寸的夹杂物数量越多,对成品带钢的磁性能影响越大,对于本试验而言,AlN和MnS是影响成品带钢磁性能的主要夹杂物。晶体织构是造成同卷带钢头、尾磁感应强度差异的主要原因。有益的{100}和Goss织构含量越大,有害的{111}<110>和{111}<112>织构含量越小,即有益织构与有害织构含量比越大,成品带钢的磁感应强度越大。 Based on the industrial manufacture of non-oriented silicon steel sheets 50SW1300, the magnetic property variation of head and tail of the same finished steel sheets was discussed by analyzing non-metallic inclusion, crystal texture, and microstructure. Results show that, both of the non-metallic inclusion and the crystal texture will affect the magnetic properties significantly. The non-metallic inclusion is the key factor of the core loss variation of head and tail of the same finished steel s...
