钢厂
6.5%Si硅钢的制备技术和发展前景
6.5%Si硅钢具有优异的磁学性能和广泛的应用前景。本文综述了6.5%Si硅钢的物理、机械及磁学特性,讨论了传统轧制、温轧、薄带连铸、快速凝固、CVD、粉末轧制等不同制备工艺的关键技术及特点,概括了6.5%Si硅钢在高效节能电机、汽车马达及磁屏蔽等领域中的主要应用,介绍了硅钢的制备技术取得的研究进展,并指出了其广阔的发展前景。 6.5% Si silicon steel has good magnetic properties and wide applications.In this paper physical and mechanical magnetic properties were summarized,and key technology and characteristic of several preparation methods,such as traditional rolling,warm rolling,thin strip continuous casting,rapid solidification,CVD and powder rolling,were discussed.Main applications of 6.5% Si steel in the fields of high-efficiency electrical motors,automobile motors,transformer cores and magnetic shielding were gene...
电解清洗装置在电工钢生产线上的应用
介绍了电工钢生产线连退机组的表面处理工艺,特别是电解清洗系统的工作机理、设备构造、生产工艺及各种影响因素。 This paper introduces the technology of surface treatment of continuous annealing unit in electrical steel production line,in particular the working mechanism,structure of equipment,production techniques and various influence factors of the electrolytic cleaning system.
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...
硅钢高温退火环形炉炉壳制作与安装技术
硅钢高温退火环形炉炉壳制作与安装精度要求较高,施工时通过对壳体原材料矫正、炉壳板拼焊、下料切割、型钢骨架组装及焊接、骨架及炉壳板矫正、骨架与炉壳板组装及焊接、炉壳矫正、零配件装置、定位钻孔、报验检查、出厂、内侧板安装、外侧板安装、顶板安装等环节的工艺技术控制,能保质高效地完成硅钢高温退火环形炉炉壳制作与安装,为以后同类工程的施工提供可借鉴经验。 The required precision of manufacture and installation technique of the silicon steel high temperature annealing annular-furnace shell is high.During construction , manufacture and installation of the silicon steel high temperature annealing annular-furnace shell could be finished high efficiently through correcting the raw materials of shell , furnace shell plate welding , material cutting , steel frame assembly and welding , skeleton and shell plate correction , skeleton and furnace shell asse...
硅钢车间ST机组粉尘调质与除尘系统改造
针对某硅钢车间ST机组的除尘系统除尘效率较低、排放浓度不达标、二次污染较严重的问题,通过现场调研,对除尘系统、含尘气体组分与物性参数等进行测试和分析,运用管道伴热技术改善粉尘黏性后,再选取合适的除尘器对粉尘进行除尘处理,大大地提高了系统的除尘效率。 To solve the problems of low dust removal efficiency, substandard emission concentration and severe secondary pollution, some investigations are conducted to test and analyze the dust removal system,dust-gas composition and relevant physical parameters.Moreover, dust removal efficiency is greatly improved by the use of pipe heat tracing technology and by choosing appropriate dust remover.
冷轧硅钢废水处理现状、问题及对策浅析
就冷轧硅钢废水处理生产中面临的主要问题进行分析,从技术角度及运行管理角度提出工艺优化升级改进措施及应对策略;同时从后续深度处理,逐步实现零排放目标的角度进行探讨,为冷轧硅钢废水减量化、出路乃至废水零排放提供一些思路。 The main problems in the wastewater treatment process of cold-rolled silicon steel lines are analyzed and process upgrading measures and optimization strategy are put forward from both technical and management views.At the same time,downstream deep treatment to gradually achieve the target of zero discharge is discussed,to provide some ideas for reduction or even zero discharge of wastewater from cold-rolled silicon steel lines.
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...
