钢厂
云边一体化系统架构下硅钢制造管理业务数字化融合应用
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...
高效电机用冷轧无取向电工钢退火板析出物的析出特征研究
通过热力学计算,分析了实验钢中主要析出物析出的可能性。结果表明:在液相和固液两相区中,AlN和MnS均不能析出;在奥氏体区,AlN和MnS具备热力学析出条件,平衡析出温度分别为1547、1582 K。成品退火板中的析出物主要为AlN和MnS。扫描电镜下观察到的AlN形貌多为长条状,MnS形貌多为棒状或近似球形。这两种析出物占了析出物总量的85%以上,尺寸集中分布在400~800nm;复合析出物主要是(Al2O3+MnS)和(AlN+MnS),形貌不规则,尺寸集中在0.7~1.5μm;透射电镜下观察到了少量100nm以下独立的AlN析出。 According to thermodynamic calculation, the precipitation probability of precipitates was analyzed, AlN and MnS can not precipitate in liquid phase area and solid-liquid two-phase area. In austenite area, both the AlN and MnS have precipitation condition in thermodynamics and precipitates at 1547 K and 1582 K, respectively. The precipitates in annealing plate are mainly AlN and MnS. The shape of AlN is mostly strip, and MnS is stick or near sphericity. They accounted for over 85% of the total qu...
硅钢级氧化镁颗粒度检测工艺的研究
通过对激光粒度分析仪测量硅钢级氧化镁(MgO)的分析条件进行优化,如分散介质、分散方式、样品预处理、仪器暗淡度等,探讨了硅钢级MgO粒度范围测量重现性较好的试验方法,满足硅钢生产过程控制对MgO粒度的要求。 The analysis condition of the laser particle size analyzer on grain oriented silicon-steel grade magnesium oxide is optimized,including the dispersion medium,dispersion methods,sample preparation,and instrument obscuration,etc.Therefore,particle size measurement with good reproducibility for silicon-steel magnesium oxide is discussed,which may meet the requirement of MgO particle size for silicon-steel process control.
本钢高硬度无取向电工钢50BW600的研发
目前随着电工钢用户冲压设备的升级,冲压速度逐步提高,对电工钢产品的硬度和强度指标提出了更高的要求。与普通硬度级别的无取向硅钢相比,高硬度50BW600的Hv硬度提高15~20,达到125以上,同时对电磁性能指标也有较高要求。本钢通过化学成份和热轧及冷轧连退生产工艺的设计,经过小批量生产试验,满足用户要求。通过对工艺的严格控制,在大批量生产过程中,保证了产品的力学性能和电磁性的检验合格率。 Currently with upgrading of stamping equipment of silicon steel user, gradually increasing of stamping speed, propose higher demand for hardness and strength of silicon steel. Compared with conventional 50BW600, high hardness 50BW600 have higher hardness, reach greater than 125Hv. Through design of chemical composition with hot mill and annealing, production test of small quantities, stamping performance meet user request.
电感耦合等离子体质谱法测定硅钢中痕量铜和镍
研究了应用电感耦合等离子体质谱法(ICP-MS)测定硅钢中痕量铜和镍的分析方法。采用硝酸分解样品,通过内标校正和基体匹配消除了基体干扰的影响,同时根据测量时存在的质谱干扰情况,选择同位素65Cu和60Ni作为测定元素和通过调节仪器参数使双电荷离子的产率最低,以减少带来的干扰。该方法用于硅钢中痕量铜和镍的测定,所得的结果与ICP-AES法测定结果完全吻合,各元素测定结果的RSD值小于5%,加标回收率为97.3%~100.3%。 A method for the determination trace copper and nickel in silicon steel by inductively coupled plasma mass spectrometry(ICP-MS) was studied.The samples were dissolved in HNO3.The effect of matrix interference was eliminated by internal standard correction and matrix matching.Meanwhile,according to the mass spectral interferences in determination,the isotopes including 65Cu and 60Ni were used as measuring elements.The yield of double-charge ions were minimized by adjusting instrumental parameters...
配分温度对碳-锰-硅钢显微组织与力学性能的影响
对碳-锰-硅钢进行不同配分温度的Q&P(Quenching and Partitioning)处理,测试了热处理后不同钢的力学性能和残余奥氏体含量,并用扫描电子显微镜和透射电镜观察其显微组织,分析了配分温度对显微组织和力学性能的影响。结果表明:试验钢显微组织基本由低碳板条状马氏体、块状铁素体和条状残余奥氏体组成;随配分温度的升高,试验钢的抗拉强度呈下降趋势,伸长率与奥氏体含量的变化趋势相同,但变化规律不确定;提高锰含量能稳定残余奥氏体,从而提高试验钢的伸长率,并使伸长率对配分温度不敏感。 The C-Mn-Si steel was quenched and partitioned at different partitioning temperatures,the mechanical properties and residual austenite contents were investigated,the microstructure was observed by SEM and TEM,and the effect of partitioning temperature on microstructure and mechanical properties was analyzed.The results show that the microstructure of the tested steel consisted of lath martensite with low carbon,nubby ferrite and banded residual austenite.The tensile strength of the tested steel ...
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...
低温板坯加热取向硅钢形变和初次再结晶织构的演变规律
采用取向分布函数和取向线分析方法对低温板坯加热取向硅钢从热轧到初次再结晶工艺阶段的织构进行了研究。研究表明:一次冷轧后各层的织构组分与热轧板各层面的织构组分存在着继承关系,次表层存在很强的{001}<110>织构,中心层的织构和热轧板的中心层相似,存在强的{001}<110>和{112}<110>织构;中间退火后发生再结晶,各织构组分的强度有所减弱,Goss织构组分再次出现;二次冷轧后沿厚度方向上的织构不均匀性不明显,{111}<112>织构强度最高,几乎是其他织构组分的1倍,{001}<110>织构大幅降低;初次再结晶后织构沿厚度方向没有明显的不均匀性,{111}<110>为最强的织构组分,并且具有一定强度的Goss位向。 The texture from the first cold rolling to the primary recrystallization of low temperature slab reheating grain-oriented electrical steel were researched by orientation distribution function and orientation distribution intensity technique.The results show that after the first stage of cold rolling,there is a strong {001}<110> texture in the subsurface and the texture in center layer is very similar to the center layer of hot band which has strong {001}<110> and {112}<110> tex...
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...
电工钢边缘降控制研究
以马鞍山钢铁集团公司电工钢板形优化控制研究项目为背景,系统地研究了热轧、冷连轧和单机架轧机在电工钢生产过程中的边缘降控制问题。通过现场数据采集、工况数值模拟计算和工业化大生产试验,设计出适用、合理的电工钢板形控制的辊型优化曲线,满足了不同工序、不同机型的板形控制策略要求,解决了电工钢板形质量问题,取得了显著的经济效益。 Based on the project of electric steel strip shape optimization control,problem of edge drop control was systematically studied in production of electric steel of hot-rolling mill,cold-rolling mill and single stand mill.Roll optimization contour was designed out in point and reasonable by collection of work condition data,numerical simulation and test of industrial production.The shape control system can meet with the different working steps and difference mills,and quality problem of electric s...

