钢厂
剪切方式对冷轧无取向硅钢边部磁畴的影响
为提高无取向硅钢导磁性能,研究了不同剪切方式对无取向硅钢剪切处磁畴结构的影响。利用纳米磁流体观测无取向硅钢剪切后边部磁畴结构。结果表明,硅钢无论在机械剪切还是线切割后的边部磁畴都会发生不同程度的改变:线切割对边部磁畴结构改变较小,边部磁畴分布均匀且连续,在距边缘0~20μm范围内出现磁畴宽度变小现象;机械剪切对磁畴的改变较为严重,剪切处磁畴零乱且不连续,在距边缘20μm处仍难以观察到完整的磁畴结构。 The effects of different shearing modes on magnetic domain structure of cold rolled non-oriented silicon steel are studied in this paper.The magnetic domain of cold rolled non-oriented silicon steel is observed by nanometer magnetic fluid pattern method.The results show that the edge magnetic domain structure will be changed by mechanical shear and wire-electrode cutting,the variation of edge magnetic domain structure wire-electrode cutting edge is very small,the magnetic domain structure is wel...
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...
基于人工神经网络-遗传算法的取向硅钢刻痕工艺优化
为了优化激光刻痕降低取向硅钢铁损的工艺,寻找刻痕速度、脉冲能量、扫描间距等重要刻痕参数的最佳匹配关系,提出了一种基于人工神经网络与遗传算法的优化模型,并利用这种模型对30Q130取向硅钢材料的刻痕工艺进行了优化实验,结果表明,这种模型稳定可靠,可以作为取向硅钢刻痕工艺优化的一种有效的措施。 A laser is often considered to scribe the grain-oriented silicon steel surfaces after cold-rolling and annealing to reduce the core loss.It is necessary to select the best scribing parameters to maximize the reduction in this process.This paper proposes an optimization method of genetic algorithm during laser scribing of 30Q130 steel,by developing an artificial neural network prediction model using a database form a designed orthogonal experiment.The objective is to determine the best combinatio...
高硅钢温轧过程压下率及中间退火对组织、织构的影响
传统轧制法制备6.5wt.%高硅钢过程中温轧工艺具有显著不同于3 wt.%Si的电工钢的特点及组织织构特征,是开发新型基于织构优化的高硅钢的关键环节。采用EBSD技术对通过热轧、温轧、冷轧及退火工艺制备0.3mm厚的6.5wt.%Si电工钢板的组织和织构进行分析,重点研究温轧过程中的中间退火和大、小压下率组合以控制织构。结果表明,在热轧退火板是部分再结晶组织的情况下,一次性温轧或先小形变量、中间退火后再大形变量的工艺可得到更多的Goss晶粒;经过最终退火后Goss取向会发生偏转,形成部分黄铜取向,而{111}〈112〉取向的晶粒内形核生成近Goss取向的再结晶晶粒;大压下量轧制是最终组织中{111}取向晶粒较多的主要原因。 Warm rolling,a key process of developing new type high-Si electrical steel based on texture optimization,has significant different characteristics from 3wt% Si steel in conventional preparing process. 0. 3mm thickness 6. 5wt. % Si steel,obtained by a series of processes including hot and warm rolling,intermediate annealing and then cold rolling,was analyzed from microstructure and texture by EBSD,which are utilized mainly for investigating the intermediate annealing process and the combination o...
低温高磁感取向硅钢连铸与均热过程AlN与MnS析出的热力学
针对薄板坯连铸连轧流程结合\"获得抑制剂法\"所制备的低温高磁感取向硅钢,通过热力学计算研究了AlN与MnS在连铸与均热过程中的析出规律与行为。计算结果表明,连铸过程中AlN在凝固后的高温α相中便可能析出,而MnS仅可能在凝固后的α+γ两相区内析出。钢中AlN与MnS在均热过程中均处于部分固溶与部分析出的状态。后续高温渗氮处理后初次晶粒的异常长大并不明显,表明渗氮处理前钢中固有抑制剂的数量相对充足。 The precipitation behavior of MnS and AlN in low-temperature high magnetic induction grain-oriented silicon steel produced by thin slab casting and rolling process with\"acquired inhibitor method\"during continuous casting and soaking was studied by thermodynamic calculation.The calculated results show that AlN is likely to precipitate in ferrite after solidification.However,MnS can precipitate only in the two phase region of ferrite and austenite.Meanwhile,MnS and AlN in the steel can not be comp...
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...
微量Sn对0.4%Si无取向硅钢组织和磁性能的影响
结合实际生产0.4%Si无取向硅钢,统计了不含Sn和0.025%Sn无取向硅钢的磁性能变化,利用金相显微镜、X射线衍射仪观察分析不同成分下试样的显微组织和微观织构。试验结果表明:Sn元素可以显著降低无取向硅钢的晶粒尺寸,0.025%Sn试样的平均晶粒尺寸比不含Sn减小28.4%;加入Sn元素后抑制了无取向硅钢中不利于磁性能的{111}面织构组分强度,提高了对磁性能有利的{100}面织构组分强度,0.025%Sn与不含Sn相比磁感均值从1.756 T提升至1.768 T,铁损均值从5.476 W/kg降低至5.204 W/kg,明显改善了无取向硅钢磁性能。 In this paper combined with the actual production of 0.4% Si non oriented silicon steel, the magnetic properties of non oriented silicon steel without Sn and 0.025% Sn were counted. The microstructure and microtexture of samples with different compositions were observed and analyzed by metallographic microscope and X-ray diffraction. The results show that: Sn can significantly reduce the grain size of non oriented silicon steel, and the average grain size of 0.025% Sn sample is 28.4% smaller tha...
晶粒尺寸对无取向硅钢磁性能影响的主成分回归分析
采用电子背散射衍射技术测定50SW1300冷轧无取向硅钢中不同尺寸范围晶粒的含量,利用主成分回归分析法,综合研究不同尺寸范围晶粒的含量对无取向硅钢磁性能的影响。结果表明:通过主成分回归分析法能够从不同尺寸范围晶粒的含量的多个影响因素中获取主要的因素,定量研究它们对无取向硅钢磁性能的影响规律。分析表明,无取向硅钢的铁损与不同尺寸范围晶粒的含量之间存在着可靠的多元线性关系,在一定范围内,较大尺寸晶粒的含量越多,其对铁损优化的作用越明显;而无取向硅钢的磁感与不同尺寸范围晶粒的含量之间并无线性关系。 Distribution of grain size in cold rolled non-oriented silicon steel 50SW1300 was measured by EBSD.The effects of the distribution of grain size on magnetic properties of the non-oriented silicon steel were comprehensively researched by means of principal component regression method.The results indicate that the main factors influencing the magnetic properties in the distribution of grain sizes,which can be used to guantitative study the magnetlic properies of the steel,are obtained by principal...
钙处理对无取向硅钢中非金属夹杂物的影响
采用电解法和扫描电镜研究了300 t转炉-RH精炼钙处理对无取向硅钢板(%:≤0.005C、1.2~2.2Si、0.2~0.6Mn、≤0.20P、≤0.005S、0.2~0.6Al、0~0.01Ca)中夹杂物的影响。结果表明,钢中Al含量为0.25%和0.35%时,钢中溶解氧均小于1×10-4%,钙处理后都会产生CaS夹杂物,尤其是含0.35%Al的钢水;钙处理可以有效减少钢中的夹杂物数量,尤其是0.5μm以下的微细夹杂物数量;钙处理后夹杂物的种类以AlN、CaS为主,同时还含有少量的氧化物夹杂物以及AlN-CaS复合夹杂物,尺寸主要为1.5~5.0μm。 The effect of 300 t converter-RH refining calcium treatment on inclusions in non-oriented silicon steel sheet (%:≤0.005C,1.2~2.2Si,0.2~0.6Mn,≤0.20P,≤0.005S,0.2~0.6A1,0~0.01Ca) has been studied by electrolysis and scanning electron microscope.Results show that with 0.25%and 0.35%Al content in steel,all the dissolved oxygen in liquid is less than 1×10-4%,and the CaS inclusions are produced after calcium treatment,especial for the liquid containing 0.35%Al;the amount of inclusions in ste...
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...

