钢厂
退火工艺对无取向硅钢磁性能的影响
分析总结退火工艺各参数对冷轧无取向硅钢磁性能的影响,结合设计和生产实践经验介绍退火工艺中各参数的实际生产取值,并针对现生产工艺过程中出现的典型问题提出解决办法。 It is analyzed and summarized the great influences on magnetism of cold rolled non-oriented silicon steel affected by various annealing process data in this article.The relevant settled ways is raised.According to the actual value presetting ways for various annealing process data based on design and production,as well as typical problems occurred during production.
电工钢RH脱硫渣系研究
针对攀枝花钢钒有限公司难以稳定生产w(S)≤0.006%高级别电工钢的问题,通过开发RH脱硫剂、钢包渣改性及工艺参数控制,形成了RH脱硫系统工艺技术。经工业试验表明,采用该工艺技术后,钢水脱硫率最高达到42%,成品w(S)控制在0.005%以下,全氧、氮含量也得到了较好的控制,且脱硫剂没有引起钢水增碳,满足高级别电工钢的生产要求。 In light of the difficulty of production of high level electrical steel w(S)≤0.006 % steadily in Panzhihua steel & vanadium Co.,Ltd.the process technology of RH desulfurization system has been formed by developing the RH desulfurizer,modifying the ladle slag and controlling the process parameters.Industrial experiments show that the desulfurization rate of hot metal rises to 42 % and the w(S) of the finished products is controlled in below 0.005 % and total oxygen and nitrogen contents are a...
无取向硅钢铬酸镁绝缘涂层高温固化工艺
为了确保硅钢铬酸盐涂料的环保性,需要严格控制涂料的固化工艺,保证涂料固化过程中涂料中的六价铬充分转化为三价铬。对涂料及原料进行热重分析(TG)及差示扫描量热法分析(DSC)。结果表明,MgO与铬酐混合转化为MgCrO4,使六价铬稳定性增强,其中大部分Cr6+转变为Cr3+发生在620~700℃,在450~500℃高于铬酐发生大量失重,因此必须加入还原剂保证涂料中六价铬被充分还原;超过360℃后树脂会发生分解,因此实际板温不能超过360℃;加入了还原剂的整体涂料的失重温度区间主要在260~320℃,因此涂料固化时钢板的实际温度最佳区间为320~360℃。 Because of the silicon steel chromate coating’s environmental requirements,the paint curing process must be controlled strictly to ensure all Cr( Ⅵ) transforms to Cr( Ⅲ). The TG and DSC analyses of the paint are studied. The reaction of MgO and CrO3 would generate MgCrO4,enhancing the stability of Cr( Ⅵ). The most r( Ⅵ) in MgCrO4 changes to Cr( Ⅲ) at 620-700 ℃,while the CrO3 has a large weight loss at 450-500 ℃. The reductant must be added in the paint to make sure the Cr( Ⅵ) could transform suf...
基于人工神经网络-遗传算法的取向硅钢刻痕工艺优化
为了优化激光刻痕降低取向硅钢铁损的工艺,寻找刻痕速度、脉冲能量、扫描间距等重要刻痕参数的最佳匹配关系,提出了一种基于人工神经网络与遗传算法的优化模型,并利用这种模型对30Q130取向硅钢材料的刻痕工艺进行了优化实验,结果表明,这种模型稳定可靠,可以作为取向硅钢刻痕工艺优化的一种有效的措施。 A laser is often considered to scribe the grain-oriented silicon steel surfaces after cold-rolling and annealing to reduce the core loss.It is necessary to select the best scribing parameters to maximize the reduction in this process.This paper proposes an optimization method of genetic algorithm during laser scribing of 30Q130 steel,by developing an artificial neural network prediction model using a database form a designed orthogonal experiment.The objective is to determine the best combinatio...

