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【作者】 陶永根; ...
2011-05-28 80 5.8

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... 
2023-05-09 151 5.8

通过固溶度积公式计算及热模拟实验,对不同热装和加热温度条件下的无取向硅钢铸坯中析出相进行了研究.在低于950℃热装时,铸坯中AlN的析出量和尺寸不再变化,但MnS和AlN-MnS的数量及平均尺寸随着热装温度降低而进一步增加,并在温度低于600℃时达到最大值后保持不变.与1200℃相比,1100℃加热的铸坯中AlN、MnS的总固溶量相对更少.相比850℃热装,600℃热装再加热到1100℃的铸坯中AlN和MnS的总固溶量更少,且AlN和MnS尺寸更大.合适的热装温度和加热温度分别为600℃和1100℃. Based on solubility product calculation and thermal simulation experiments,precipitated phases in continuous casting slabs of non-oriented silicon steel were systematically studied at different hot charging and heating temperatures.When the hot charging temperature is below 950 ℃,the content and size of AlN remain unchanged,but the quantity and size of MnS and AlN-MnS increase when the hot charging temperature decreases,reach maximum and remain unchanged when the hot charging temperature is belo... 
2013-08-28 121 5.8

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... 
2022-02-28 145 5.8

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