钢厂
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...
无取向电工钢环保绝缘处理液试验研究
针对目前大部分无取向电工钢处理液为含铬处理液、且需在较高温度下固化的情况,在分析成膜物质性质的基础上,试验研究了一种可低温快速固化的电工钢环保绝缘处理液,研究了其涂装工艺,并测定了涂层的附着性、绝缘性、耐热性、耐蚀性等性能。试验结果表明:该处理液可在150~250℃下快速烘干固化,涂层表面光滑且致密均匀,性能优良,可满足中小电机的使用要求。 At present,most of the insulating fluid for non-oriented electrical steel contains chromium,and should be cured at high temperature.On the basis of analyzing the characteristics of the film-forming substance,a kind of eco-friendly insulating fluid with lower curing temperature for non-oriented electrical steel sheet was developed in the experiments.Then its coating process was studied,and the adhesiveness,insulativity,heat resistance,corrosion resistance and other properties of the coating was m...
高强无取向硅钢组织演变与强化机制
针对新能源汽车的发展,制备了含Ni固溶强化、含Cu析出强化以及含Ni+Cu复合强化3%Si无取向硅钢,研究了强化方式对无取向硅钢组织、织构和性能的影响。结果表明:固溶强化型无取向硅钢热轧板中形成了粗大{221}<221>晶粒,冷轧过程中剪切变形明显并在退火后形成良好再结晶织构。析出强化型无取向硅钢热轧板中心层形成γ取向粗大晶粒,在后续的加工中γ织构逐渐增强并最终得到相对细小的再结晶晶粒。复合强化型无取向硅钢热轧板中保留了强λ取向带状组织,退火后形成了有益的Goss织构和λ织构。固溶强化型与复合强化型无取向硅钢磁感应强度B50分别达到1.742、1.688 T,高于析出强化型无取向硅钢的1.645 T。同时,复合强化型无取向硅钢高频铁损最低,其P1.0/400和P1.0/1 000分别低至20.97、82.69 W/kg,这与其较小的晶粒尺寸和织构改善有关。强度计算结果表明:Ni元素固溶强化对强度的提高有限,屈服强度为468 MPa,纳米Cu析出可显著提高屈服强度(强度增量约200 MPa),且主要来自于模量强... For the development of new energy vehicles, 3%Si non-oriented silicon steel were processed by solid solution strengthening with Ni, precipitation strengthening with Cu, and composite strengthening with Ni and Cu. The effects of different strengthening methods on the microstructure, texture and properties of high-strength non oriented silicon steel were studied.The results show that coarse {221}<221> grains are formed in the hot rolled sheet of solution strengthened non-oriented silicon ste...
无取向电工钢孔洞缺陷控制实践
针对马钢无取向电工钢孔洞缺陷的分布规律及形貌特征,对缺陷样进行了显微分析,并利用生产实绩数据分析了该缺陷产生的原因。结合热轧生产过程,主要通过避免带钢撞击导卫以及降低导卫结瘤的产生等措施,可有效抑制热卷异物压入产生,从而降低冷轧工序孔洞的产生。 In viewing of the distribution and morphology characteristics of the hole defect of non-oriented electrical steel in Maanshan Iron and Steel Co.,Ltd.,the causes of the defect were analyzed by micro analysis of the defect sample and the production data.Combined with the production process of hot rolling,by avoiding the impact of strip steel on the guide and reducing the nodule formation on the guide,the pressing of foreign bodies in hot coiling could be effectively suppressed,thus reducing the fo...
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...
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...
一次再结晶法取向硅钢超薄带的冷轧塑性变形行为
以市场上购买的取向硅钢成品板为原料,经不同压下率冷轧至0.23~0.08 mm不等。借助X射线衍射仪(XRD)检测了冷轧后样品中的织构组分及其含量,利用电子背散射技术(EBSD)测量了试样的取向因子分布情况。观察了孪晶的形貌与晶体学特征,分析了硅钢超薄带的塑性变形行为。结果发现,在平面压缩应力下,{112}<111>滑移系的取向因子较大。随冷轧压下率的增加,Goss织构的含量逐渐减少,{212}<141>织构组分的含量先增加后减少,{111}<112>织构组分的含量逐渐增加,织构组分以{110}<001>→{212}<141>→{111}<112>顺序演变。冷轧后样品中出现了孪晶,其晶体取向为{001}<110>,冷轧过程中孪晶取向没有发生变化。 The commercial finished oriented silicon steel plate as the raw material were rolled to 0.23-0.08 mm. With the X-ray diffractometer(XRD), the texture components and their volume fractions in the cold-rolled samples were detected. And the orientation factor distribution of the cross-section of the samples was measured by the electron backscattering technique(EBSD). The morphology and crystallographic characteristics of twins were observed, and the plastic deformation behaviors of the ultra-thin o...
西昌钢钒200t RH生产无取向硅钢的工艺实践
对西昌钢钒炼钢厂200 t BOF(顶底复吹)-RH-CC工艺生产50PRW800无取向硅钢RH精炼过程中主要成份进行了分析。找出了目前工艺中影响钢液质量的主要因素是钢水脱氧处理不彻底,造成加入的部分硅元素烧损。操作工艺改为铝的脱氧即合金化操作一步完成,保证了钢水中氧处于一个较低的范围,从而减少对硅元素的烧损,提高合金收得率。 The factors of BOF-RH-CC process affecting the compositions of liquid steel were systematically investigated and studied of Xichang Steel and Vanadium Company. The main factors affecting the steel cleanliness were picked out. All results showed that the loss of silicon elements resulting from the deoxidization of liquid steel was not completely. It was suggested that the addition of aluminum for deoxidizing and alloying of molten steel was executed as one step in order to lower the oxygen potent...

