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】 姚昌国； ...

为开发高效电机用冷轧无取向电工钢,借助实验室薄板坯连铸连轧模拟设备及扫描电镜、透射电镜等检验手段研究了成分、组织、织构和析出物等对无取向电工钢磁性能的影响规律;结果表明:常化处理使组织均匀化并增加有利于磁性提高的织构组分;采用CSP流程开发的高效电机用无取向电工钢铁损平均值3.4 0 W/kg,磁感≥1.68 T。 In order to develop electrical steel for high efficiency motor,effect of components,microstructure,texture and precipitation on magnetic property of electrical steel are analyzed.From the result,normalizing treatment makes microstructure uniform and increases component of favorable texture.Iron loss of electrical steel developed by CSP line is 3.40W/kg and magnetic induction is more than 1.68T. 

试验研究了退火温度(850~950℃)和时间(5~18 min)对2.3 mm热轧硅钢板(/%:0.036C,3.15Si,0.21Mn,0.005P,0.007S,0.032A1)6道次轧制的0.35 mm冷轧板组织和织构的影响。结果表明,退火温度越高,晶粒平均尺寸越大,900℃5 min退火时平均晶粒尺寸41.39μm,试样织构主要集中在γ取向线上的{111}<112>织构组分和{111}<110>织构组分;900℃18 min退火时平均晶粒尺寸为48.08μm,试样的{111}面织构和{112}面织构密度都明显减弱,{001}面织构增强,磁性能较优。 The effect of annealing temperature(850 ~950 ℃) and holding time(5 ~ 18 min) on structure and texture of 0.35 mm sheet by 6 passes cold-rolling from 2.3 mm hot-rolled plate of silicon steel(/%:0.036 C,3.15 Si,0.21 Mn,0.005 P,0.007 S,0.032A1) has been tested and studied.Results show that the higher the annealing temperature the coarser the average grain size;As annealing at 900 ℃ for 5 min the average grain size of steel sheet is 41.39 μm,and the texture in sample is mainly concentrated in y orie...