钢厂
辉光放电发射光谱法测定电工钢中8种元素
通过对辉光放电发射光谱法分析电工钢样品光谱行为的研究,分析其工作参数如:电压、电流、预溅射时间和积分时间对光谱强度和稳定性的影响,并以铁为内标元素,优化了工作参数。确定了直流辉光放电光谱法测定电工钢中碳、硅、锰、磷、硫、铬、镍、铜共8种元素的定量分析方法,并对该方法分析的精密度和准确度进行验证,结果表明,各元素的测定结果与认定值和其他方法测定值一致,测量元素结果RSD值小于2%。 Based on research on analyzing the spectrum behavior of the sample taken from the electrical steel by glow discharge optical emission spectrometry,the effect of its operational parameters such as current,voltage,pre-sputtering time and integrating time on the spectral intensity and spectral stability is analyzed.Taking the Fe as an element applied by internal standard method,these operational parameters are optimized,and therefore the quantitative analysis method for testing eight kinds of eleme...
无取向硅钢磁性能提升技术进步及其发展动向
无取向硅钢的磁性能主要取决于铁素体的晶粒尺寸、晶体织构和钢中的夹杂物。通过合适的化学成分设计以及采用适宜的夹杂物控制技术,可以获得最佳的夹杂物控制效果,使其纯净度大幅度提高或者无害,最终获得磁性能优良的高级别无取向硅钢。同时,为满足节能、环保、高效需求,无取向硅钢正朝着节能降耗、环境友好以及多功能、高效率、易加工等方向发展。 The magnetic properties of non-oriented silicon steel mainly depend on the grain size of ferrite,the crystallographic texture,and the inclusions in the steel.The optimum inclusion control effects can be obtained through a suitable chemical composition design and an appropriate inclusion control technique,and then the liquid steel will get be clean or the inclusion will get be harmless,finally the excellent magnetic property of the non-oriented silicon steel can be obtained.Meanwhile,in order to ...
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...
硅钢轧制过程中乳化液流量数学模型研究及应用
目前高磁感冷轧硅钢生产过程中,采用经验方法确定的乳化液流量设定值往往会造成硅钢产品的磁感性能达不到预期目标,针对此情况,基于轧机轧制机理研究了的乳化液流量数学模型,确定了乳化液流量设定值。实践表明,使用该数学模型输出的乳化液流量设定值,可提高轧制过程中乳化液流量控制精度,从而提高高磁感冷轧硅钢的轧制性能。 In view of the current production process of high magnetically inductive cold-rolled silicon steel, the mathematical model of emulsified fluid flow based on mill rolling mechanism is studied in view of the situation in which the magnetic sensing performance of silicon steel products is often not up to the expected target by using empirical method to determine the emulsified liquid flow setting. Practice shows that the emulsified fluid flow setting value output from this mathematical model improv...
无取向电工钢退火工艺研究现状
综述了退火温度、时间对无取向电工钢磁性的影响。退火温度主要影响无取向电工钢不同织构的占有率,退火时间主要影响晶粒尺寸的大小,晶粒尺寸的变化对织构的形成也有一定的影响。磁感最高点出现在纤维组织完全消失,(111)面织构组分较弱的组织状态。铁损的降低主要依赖于磁滞损耗的降低,织构的影响不大。 The effects of annealing temperature and time on the non-oriented electrical steel magnetic properties were reviewed.Annealing temperature and time mainly affects the different textures share and the grain sizes of non-oriented electrical steel respectively.Changes of the grain sizes also have a certain effect on textures formation.The highest point of the magnetic induction value in the fibrous tissue completely disappears and{111} plane texture has a lower state of the component content.Iron l...
PDSOFT在硅钢退火炉管道设计中的应用
结合硅钢退火炉项目中应用PDSOFT软件进行三维配管设计的案例,描述PDSOFT软件的应用过程,总结其使用要点,分析其优缺点,并提出了推广三维设计软件的思路,对今后PDSOFT在相似项目中的推广应用有参考和借鉴价值。 Combining the case of using PDSOFT software to design the three-dimensional piping,the application process of the PDSOFT software is described,the using points are summarized,the advantages and disadvantages are analyzed,and the ideas of promoting the three-dimensional design software are put forward,which have a strong reference value for the promotion and application of PDSOFT in similar projects in the future.
高牌号无取向电工钢RH深脱硫
以CaO-CaF2复合渣系为脱硫剂,在RH精炼过程采用真空投入法进行高牌号无取向电工钢深脱硫工业试验,采用KTH模型计算分析了RH炉渣成分对硫容量CS的影响。研究结果表明,炉渣成分控制在w((CaO))/w((SiO2))为5~7,w((CaO))/w((Al2O3))为1.5~1.8,w((Al2O3))为25%~30%,w((FeO+MnO))<5%,脱硫剂加入量为6~8kg/t时,钢中硫质量分数从平均0.003 1%降低到0.001 8%,最高脱硫率达到47.1%,平均脱硫率为41.7%。 The industrial trials on deep desulphurization of high grade non-oriented electrical steel were finished through using CaO-CaF2complex based fluxes in RH process.Using the KTH model,the effect of refining slag composition on the sulfide capacities was analyzed.The results show that the chemical composition of refining slag(mass fraction,%)is w((CaO/SiO2))between 5to 7,w((CaO))/w((Al2O3))beween 1.5to 1.8,w((Al2O3)) between 25%to 30%,w((FeO+MnO))less than 5%,and the desulphurizer addition level of...
本钢薄板坯连铸机生产无取向电工钢的工艺优化
针对本钢薄板坯铸机在生产无取向电工硅钢的过程中存在的铸坯拉断、中包增碳、增氮等问题,进行了连铸工艺优化。通过采用新型无碳中间包覆盖剂、环保中间包干式料及专用结晶器保护渣后,降低了铸坯增碳量;通过控制钢包到中间包的增氮环节,降低钢水增氮;适当增大二冷水量,控制钢水过热度,防止铸坯拉断等生产事故的发生。改进工艺后,精炼后到成品铸坯的平均增碳量能控制在10×10-6以内,平均增氮量能控制在4×10-6以内。 The technology optimization has been adopted for preventing nitrogen increasing and carbon increasing in Benxi thin slab producing non-oriented silicon steel.Measures accordingly were adopted and satisfactory results were achieved.
常化工艺对Si的质量分数为1.6%的无取向电工钢磁性能的影响
研究了常化温度、常化时间及常化后冷却速度对Si的质量分数为1.6%的无取向电工钢成品磁性能的影响。结果表明:在850~1 050℃范围内,随着常化温度的升高,成品铁损先减小后增大,成品磁感应强度先增大后减小;当常化温度为1 000℃时,成品平均铁损最低,平均磁感应强度最高;常化时间从3min延长到7min时,成品铁损先减小后增大,成品磁感应强度则呈单调下降趋势;随着常化冷却速度的降低,成品铁损先减小后增大,成品磁感应强度则呈单调增大趋势;对于Si的质量分数为1.6%的无取向电工钢,最佳的常化制度为:在1 000℃进行常化,时间5min,常化后空冷。对热轧板进行常化后,热轧板发生了不同程度的再结晶和晶粒长大。提高常化温度、延长常化时间、降低冷却速度,都能使常化板晶粒粗化,进而粗化成品板晶粒,改善磁性能。通过扫描电镜观察发现,成品板中析出物主要为AlN和MnS的复合析出物,以及少量的单独析出的AlN和MnS,而常化工艺主要是通过粗化析出相,减少细小析出相数量,从而减少对晶界钉扎作用来改善成品磁性能。 The effects of normalizing temperature,normalizing time and cooling rate after normalizing on magnetic properties of non-oriented electrical steel with mass fraction of Si of 1.6% were investigated.The results show that core loss of product decreases first and then increases,while magnetic induction increases first and then decreases with the increase of normalizing temperature from 850 to 1 050℃.Average core loss of product is the lowest and average magnetic induction is the highest when normal...
大数据技术在硅钢产品质量管控中的应用实践
磁性能指标是硅钢产品最关键的质量指标之一,但是目前磁性能判定100%依赖于样品的离线实验室检测结果,生产线配置的在线检测仪的测量结果由于精度问题,不宜直接用于成品牌号判级。本文在现有硅钢产品质量管控体系基础上,利用大数据技术对生产数据进行分析与建模,构建不同磁性能指标在线检测模型,并在现有信息系统上完成模型库的集成部署,实现硅钢产品全长、多指标磁性能结果的拟合数据输出,支撑取样优化、精准分切、辅助综合判定等功能应用,进一步优化硅钢产品质量管控体系。 The magnetic performance index of silicon steel products is one of the most critical quality indexes.However,at present,100%determination of magnetic performance depends on the offline laboratory test results of samples,and the measurement results of the online detector configured in the production line cannot be applied in practice due to the accuracy problem.Based on the existing quality control system of silicon steel products,big data technology was used to analyze and model the production d...

