硅钢资料

对两种硅钢水溶性极厚绝缘涂层进行了不同温度的热老化实验。通过TG-DTA,GDS,FT-IR,SEM和光泽度仪等测试方法对老化的涂层进行分析表征,提出了评估硅钢水溶性极厚绝缘涂层热老化性能的合理温度区间,探讨了涂层热老化行为,并分析了两种涂层热老化性能的差异。结果表明,涂层附着性随着老化时间的延长逐渐下降。FT-IR表征结果显示,热老化过程中,涂料交联形成的化学键未发生断裂,交联剂氨基树脂的三嗪环被破坏是聚合物三维网络结构坍塌的主要原因。 Thermal aging expriments at different temperature were carried out on two types of water-soluble and extra-thick insulation coatings for non-oriented silicon steel,and a series of test methods such as glossmeters,TG-DTA,FT-IR,GDS,SEM were applied in analysis.For evaluating the thermal aging effect of this kind of insulation coating,the proper temperature range was proposed.The difference of aging performance between two coatings was been investigated and the related behaviors were been discussed... 

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... 

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... 

某冷连轧机生产无取向硅钢板材时,其边缘降的长度合格率频繁超标。为满足用户的叠片厚度精度要求,这类产品必须以增大切边量的方式来保证交货质量,而这种方式又直接降低了金属收得率,提高了生产成本。基于此,以该产线现有设备特性为基础,详细分析其软、硬件功能模式,分别对辊形与反馈控制进行全面分析与优化改进。通过现场试验论证,充分明确依托辊形优化与反馈控制程序的改进能显著提高边缘降的控制水平,该技术的使用为生产现场的边缘降控制提供了合理的技术支撑。 A cold rolling mill production of non-oriented silicon steel sheet,the thickness difference of the edge( edge-drop) is usually exceed the preset standard value,In order to meet the accuracy requirements of the user flatness,these production must be trimed wider length to meet the delivery quality of the user need, which directly reduce the metal yield and increase the manufacturing cost. Therefor,the software and hardware of the production line has been analyzed, and the work roll shape and feed... 

本发明公开了一种硅钢产品生产方案的智能设计评估方法，包括以下步骤：1、采集数据，并集成用户数据、实验室研发数据和大生产数据；2、构建用户数据主题、实验室研发数据主题和大生产数据主题；3、输入硅钢产品的种类、规格和性能需求的需求信息，并根据需求信息生成若干个硅钢产品的生产方案，生产方案包括优化产品的生产方案和新产品的生产方案；4、多维度综合评估步骤3中生成的每个硅钢产品的生产方案，得到硅钢产品生产方案的绿色设计指数，并根据绿色设计指数推荐生产方案。本发明基于产品设计需求，融合实验研发数据和大生产数据，生成并评估产品设计方案模型，缩短研发周期，提高研发效率。

本发明公开了一种用于无取向硅钢清洗液的洁净度检测分析方法，包括以下步骤：步骤1：从清洗液循环槽中取含有污物的清洗液样品，并进行脱水、烘干、研磨，得到污物粉末样品；步骤2：根据含有污物的清洗液样品和污物粉末样品计算清洗液循环槽中清洗液的洁净度；步骤3：根据含有污物的清洗液样品的洁净度建立清洗液洁净度评定标准；步骤4：根据清洗液洁净度评定标准控制含有污物的清洗液的排放和换液。本发明能简便且直观的了解当前清洗段循环槽内清洗液的状态，并可以根据清洗液的洁净度评级对清洗液的使用和排放做出及时的在线调整。

本发明公开了一种耐热刻痕型取向硅钢涂层用涂液，其溶剂为水，其含有：磷酸盐、胶态二氧化硅、铬酐和乙醇。本发明还公开了一种耐热刻痕型取向硅钢板，其包括基板，所述基板表面具有采用上述的耐热刻痕型取向硅钢涂层用涂液涂覆在基板上而形成的涂层。相应地，本发明还公开了上述取向硅钢板的制造方法，其包括步骤：在基板表面涂覆所述涂液，基板的刻痕沟槽涂液填充率＞95％；进行烧结处理，其中烧结处理中的板温为780‑900℃。本发明的耐热刻痕型取向硅钢涂层用涂液具有良好的流动性，其可以涂覆于耐热刻痕取向硅钢基板的表面中，涂覆后，能有效填充基板的刻痕沟槽，且可以在其表面形成涂层，保证耐热刻痕取向硅钢在具有低铁损的同时具备更高的安全性。

研究了硅钢铸坯再加热过程中夹杂物的析出行为。采用非水溶液电解提取+扫描电镜观察方法,观察了试样的显微组织,统计了夹杂物的尺寸、种类、数量、分布。结果表明,均热温度为1 523 K时,水淬试样的夹杂物尺寸绝大部分小于0.5μm,0.5～5.0μm的夹杂物数量很少,没有发现5.0μm以上的夹杂物。此外,均热时间为10、30、60、90、120、240 min时,对应试样中0.05～0.2μm的夹杂物数量分别为4.04×104、4.73×104、3.70×104、3.33×104、3.10×104、1.56×104个/mm3。绝大部分夹杂物以MnS、AlN、CuxS类为主,并以三类夹杂物中的两类复合或三类复合居多。三类复合夹杂物总量占每组试样夹杂物总量的90%或以上。随均热时间延长,典型的夹杂物组成会发生如下变化:MnS+AlN+CuxS MnS+AlN AlN。与此同时,MnS、AlN、CuxS三者复合比例从45.2%(均热10 min)降为9.7%(均热240 min)。 The methods of electrolysis extraction from nonaqueous solution and scanning electron microscope were adopted to study the precipitation behavior of non-metallic inclusions in Si steel slabs during reheating processes.The morphologies,chemical compositions,quantity and size distribution of non-metallic inclusions in these steel samples were analyzed.Results show that,when the soaking temperature is 1 523 K,almost all of the non-metallic inclusions are smaller than 0.5 μm,few are in the range of ... 

简要介绍了宝钢无取向电工钢的发展历程、产品大纲、电磁性能控制情况,以及高附加值新产品的开发、应用情况。概述了近年来宝钢无取向电工钢生产技术进步,主要包括夹杂物控制技术、连轧机高牌号硅钢制造技术、同板差控制技术、环保涂层开发技术等。 This paper briefly summarizes the development history, product catalogue, and magnetic properties of non-oriented electrical steel sheets at Baosteel, as well as the development and application of high-value-added steel grades. Recent advances in manufacturing electrical steel sheets are also introduced, including technologies for controlling inclusion, producing high-grade steel strips by a tandem rolling mill, and controlling the transverse thickness difference of steel sheets, as well as the ... 

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... 

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、1.67kg/t钢时,钢中钙含量分别为0、2×10-6、4×10-6;随着钙合金添加量增大,钢中夹杂物粒度逐渐由0～2μm向2～4、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,或同AlN、CaS夹杂复合;粒径为5～10μm区间,钢中的夹杂物基本以钙的氧、硫化物为主。与钙处理前相比,钙合金添加量为0.67、1.00、1.67kg/t钢时,粒径小于1.0μm的微细夹杂物减少幅度分别为68.06%、87.50%、94.94%。钙合金添加量为1.67kg/t钢时,可以去除钢中绝大部分的微细夹杂物。 Ca alloy was added into the liquid steel during RH refining,and the results show that Ca concentration in final Si steel sheets is insignificant,about 0,2×10-6 and 4×10-6 when the added amount of Ca is 0.67,1.00 and 1.67 kg/t steel,respectively.With the increase in the added Ca alloy amount,the inclusions in the steel gradually change from those of 0～2 μm to those of 2～4 and 4～6 μm.Under different Ca treatments,there exist MnS and CuxS inclusions whose size is below 1 μm as well as MnS and CuxS ... 

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...