论文

提出以“云边一体化架构”构建硅钢智慧决策系统，来解决原硅钢制造L1～L5系统架构模式下的数字信息孤岛、业务功能割裂等问题。在此基础上，开发了云边协同的自学习型控制模型及业务决策模型，构建起硅钢“智慧大脑”，形成了以研发、制造、服务等核心业务数字化融合的智能化决策支持新模式，探索出一条钢铁制造业数字化、智能化转型之路。 SIDS(Silicon-steel Intelligent Decision-making System)based on \"cloud-edge integration architecture\" was proposed to solve the problems of data silos and business function fragmentation in the original L1～L5 system architecture.On this basis,the self-learning control model and decision-making model of cloud-edge collaboration were developed,the \"smart brain\" of silicon steel department was constructed,and a new intelligent decision-making support model of digital integration of core businesses s... 

【作者】 陈迪安； 李春生； ...

采用传统的轧制和退火工艺制备了0.30mm厚的6.5%(质量分数)Si高硅电工钢薄板,采用X射线衍射技术对退火过程中的再结晶织构进行了研究。冷轧高硅钢薄板700℃退火形成以{111}〈112〉为峰值的γ织构(〈111〉∥ND)和以{001}〈210〉为峰值的{001}织构;而900℃以上温度退火则形成强{001}〈210〉织构。进一步的研究表明是在晶粒长大过程中{001}〈210〉发展成为主要再结晶织构组分。 High silicon steel thin sheets with thickness of 0.3mm were successfully produced by conventional rolling and annealing methods.Recrystallization texture was investigated by means of X-ray diffraction.It is found that recrystallization texture is mainly composed of γ fiber(〈111〉∥ND)with peak at {111}〈112〉 and {001} fiber with peak at {001}〈210〉 after annealing at 700℃,while strong {001}〈210〉 component dominates recrystallization texture after annealing above 900℃.It is during grain growth that {... 

本文中简要介绍了武汉钢铁有限公司采用薄板坯连铸连轧CSP(compact strip production, CSP)工艺生产中低牌号无取向硅钢的实践情况.CSP工艺生产的硅钢具有成品磁性均匀、板形好的优势，但是在利用该技术生产中低牌号无取向硅钢时，常存在成品板表面瓦楞状缺陷严重、连铸生产效率低等问题.通过优化炼钢成分、热轧等相关工艺，可消除热轧板厚度方向中心的粗大形变组织，从源头上避免了粗大{100}<011>纤维组织的出现，消除了瓦楞状缺陷；通过提升冶炼效率和控制钢中夹杂物总量，可优化隧道炉的加热温度与在炉时间，大幅度提升了连铸生产效率，实现了中低牌号无取向硅钢的批量稳定制造，使CSP产线成为中低牌号无取向硅钢热轧板原料的主要供给生产线.如何进一步提升钢水纯洁度、提高连铸生产效率、降低生产成本，以及挖掘该产线生产薄带钢的技术优点，是未来工作的重点. This paper briefly introduces the practice of producing medium and low grade non oriented silicon steel(NGO) with CSP(compact strip production, CSP)technology in Wuhan Iron and Steel Co., Ltd.. This technology has the inherent advantages of uniform magnetic properties and good shape for silicon steel finished strip. However, in the actual production process, there are serious corrugated defects on the surface of silicon steel finished strip, and production efficiency of continuous casting is low... 

利用本钢技术中心试验厂技术手段,并与北京钢铁研究院合作,试制了用作家电用电机、微电机、小电机或部分中型电机铁芯的冷轧无取向电工钢。试制钢硅含量小于0.5%,钢板表面平滑,公称厚度0.5mm,且厚度均匀偏差小,性能测定结果表明,产品的磁性能、力学性能满足其使用要求。 BX STEELTechnology Center pilot plant using technical means,and with Beijing Iron and Steel Research Institute,trial cold rolled non-oriented electrical steel that has been used as appliance motor core,micro motor core,small motor core,or part of the medium-sized motor core。Trial steel of silicon content is less than 0.5%,steel plate surface is smooth,the nominal thickness of 0.5mm,and the thickness deviation is small,performance measurement results show that the magnetic properties,mechanical p... 

采用轧制法制备出具有低铁损高磁感0.23mm厚6.4%(质量分数)Si高硅钢。沿轧制方向的最终磁性能为B8=1.474 T,B50=1.714 T;P10/50=0.30W/kg,P15/50=0.88W/kg。利用X射线衍射及背散射电子衍射(EBSD)技术分析了高硅钢在轧制及退火过程中的织构演变过程。结果表明,通过采用大压下率热轧,确保热轧板次表层中产生更多的高斯织构,随后进行遗传;温轧板中粗大的晶粒有利于冷轧剪切带的形成;冷轧板经脱碳退火后生成强{210}〈001〉织构及次表层较强的高斯织构是在轧向上获得高磁感的原因,归因于其在{111}〈112〉冷轧形变晶粒内的剪切带优先形核并长大;最终退火后虽出现了随机取向,但以{310}〈001〉织构为代表的η织构得以保留并且增强,进一步提高了磁感。随着退火温度的升高及保温时间的延长,高硅钢薄板晶粒尺寸不断增大,铁损明显降低。 6.4wt%Si high silicon steel sheets(0.23mm thick)with low iron loss and high magnetic induction were successfully produced by rolling process.The final magnetic properties along the rolling direction(RD) were:B8=1.474T,B50=1.714T;P10/50=0.30 W/kg,P15/50=0.88 W/kg.The texture evolution during rolling and annealing was investigated by means of X-ray diffraction and electron backscatter diffraction(EBSD).It was found that more Goss textures formed in the subsurface of hot rolled plates by using larg... 

利用电子探针面分析、状态分析及电子背散射衍射相分析技术研究硅钢高温氧化铁皮的显微结构。电子探针面分析可以直观的看出元素的分布状态,初步判断氧化铁皮的结构,而状态分析可以准确表征常规氧化铁皮中铁元素的状态,对于合金元素富集区域则通过电子背散射衍射相分析技术来标定。结果表明,高温氧化铁皮的结构主要有4层,即最外层为厚度约为10μm的Fe2O3相,次外层为Fe3O4相,中间层为FeO相上分布有颗粒状的Fe3O4相,最内层为FeO相和Si元素富集的Fe2SiO4相。其中Fe2SiO4层的分布特征与加热温度密切相关:1 100℃时,Fe2SiO4相呈颗粒状,弥散分布在FeO层;1 200℃时,Fe2SiO4相呈液态,侵入基体和疏松的FeO层,且沿着FeO晶界呈网状分布。 The microstructure of high temperature oxide scale on silicon steel was characterized by electron probe microanalyzer(EPMA)mapping analysis,state analysis and electron backscatter diffraction(EBSD)phase analysis.The element distribution and the initial structure of the oxide scale could be detected by EPMA mapping analysis apparently.And the state of iron in the conventional oxide scales could be determined by state analysis.Meanwhile,the alloy-rich region could be identified by EBSD phase analy... 

通过Axio Imager金相显微镜考察4.5%~7.0%硅(质量分数)对高硅钢材料组织形貌的影响,并利用Fe-6.5%Si高硅钢薄板制备方法对其进行轧制,通过DDL50电子万能试验机对阶段产品进行力学性能测试。结果证明,硅含量为5.58%的高硅钢在实验硅含量区间内存在最大延伸率及最小铸态组织晶粒尺寸。 An investigation about the influence of 4.5%-7.0% Si on microstructure and mechanical properties of high-silicon steel was presented.SEM was adopted to take an observation towards microstructure during fabrication,and DDL50electronic universal testing machine was applied into the detection of tensile curves.The results show that silicon steel with 5.58% Si provides the maximum elongation and minimum grain size as cast. 

应用CAFE法对6.5%Si高硅钢铸锭凝固组织进行了模拟研究,确定出了适合高硅钢组织模拟的模型。进一步用该模型研究了过热度及冷却条件对凝固组织的影响,结果表明,随着过热度的降低,凝固组织中柱状晶比例和晶粒平均面积均减小。水冷条件下,高硅钢铸锭凝固组织几乎全是柱状晶,而且晶粒粗大。空冷条件下,等轴晶区扩大,但柱状晶仍占主要部分。缓冷条件下,等轴晶区占主要部分,晶粒平均面积和空冷条件下相当。 The solidification structure of 6. 5% Si steel ingot was simulated based on CAFE method and the model suitable for simulating the structure of high silicon steel wad ascertained. The influence of superheat and cooling condition on the solidification structure were studied. It was shown that with the superheat decreasing,the proportion of columnar crystals decrease,and the average grain size become smaller. Under water cooling condition,the solidification structure of casting was composed of almo... 

为探究铬、锰元素及退火温度对高强无取向硅钢性能的影响规律,借助OM、SEM、EBSD与万能拉伸试验机等分析不同制造工艺下3组不同含量铬、锰元素的无取向硅钢热轧、常化及退火处理后组织与性能。结果表明,试验钢热轧后组织不均匀,心部为沿轧向分布纤维状组织,边部为少量再结晶晶粒,常化处理能显著改善热轧板组织均匀性,消除热轧板中心部位的纤维状组织。经冷轧及退火后得到多边形铁素体晶粒,其中960℃退火,晶粒尺寸偏大,有利织构{100}组分体积分数减少,不利织构{111}组分体积分数增加,成分为0.2Mn-1Cr的1号试验钢960℃退火后铁损最大,磁感强度偏小;成分为0.5Mn-1Cr的2号试验钢930℃退火后,磁性能与强度等综合性能最佳,工频铁损P_1.5/50为2.41W/kg,高频铁损P_1.0/400为17.36W/kg,磁感应强度B_{5 000}为1.638T,抗拉强度为685MPa。 In order to study the effect of Cr,Mn and annealing temperature on the properties of high-strength non-oriented silicon steel,the microstructure and properties of three groups of non-oriented silicon steel with different Cr,Mn content under different manufacturing processes were analyzed by means of OM,SEM,EBSD and universal tensile tester.The results show that the structure of experimental steel is not uniform after hot rolling,and the core is distributed in fibrous structure along the rolling ... 

以水氯镁石为原料,采用氨法沉镁-煅烧-添加剂的方法制备硅钢级氧化镁。考察了反应温度、反应pH值、陈化时间对中间体氢氧化镁纯度及转化率的影响;研究了煅烧温度和煅烧时间对氧化镁水化率的影响及添加剂的量对氧化镁悬浮性能的影响。控制实验条件为:反应温度55℃,pH值为9.5,陈化时间2h,煅烧温度1050℃,煅烧时间2h,添加剂量为0.8%,制得氧化镁的纯度为98.99%、水化率为2.92%、悬浮性能为3mm/h,达到硅钢级氧化镁的要求。 Using bischofite as raw material,the preparation of magnesium oxide with silico-steel grade was studied.The effects of reaction temperature,reaction pH value and aging time on the intermediate magnesium hydroxide purity and conversion rate were studied.Calcinations temperature,calcinations time relationship to the hydration rate of MgO and amount of additive to the suspension performance of MgO were investigated.The results indicated that the optimum technological conditions were as follows:reac... 

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...