钢厂
电工钢生产中硫的控制
针对攀钢高硫铁水冶炼现状,结合不同生产工艺路线,论述了攀钢近年来为实现低硫电工钢的生产,在铁水预处理、转炉冶炼、钢水精炼过程中硫控制技术的开发与应用,形成了低硫洁净钢生产工艺技术,实现了低硫电工钢的生产。低硫电工钢RH脱硫率可达到20%左右,成品[S]控制在0.006%左右。 According to the smelting situations of hot metal with high sulphur content at Panzhihua Steel,combined with different produce processes,technologies for controlling the sulfur content during hot metal pretreatment,converter smelting,and second refining are developed. Technologies in low-sulfur clean steelmaking are formed. Low-sulfur electric steel are produced. As for the desulfurization rate of lowsulfur electric steel can reach about 20%,and the content of [S] in products is controlled to ab...
高温硅钢加热炉双蓄热燃烧技术的探讨
介绍了双蓄热燃烧技术的特点和高温硅钢加热炉的特点,探讨了双蓄热燃烧技术在高温硅钢加热炉中使用的技术难点,分析了双蓄热燃烧技术在高温硅钢加热炉上使用的可能性。 Introduced characteristics of double regenerative combustion technology and high temperature silicon steel reheating furnace,discussed technical difficulties for using double regenerative combustion technology,analyzed the possibility of double regenerative combustion technology applied to high temperature silicon steel reheating furnace.
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...
