钢厂
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...
优化脱氧工艺改善低碳低硅钢钢水可浇性
介绍了重庆钢铁股份有限公司炼钢厂生产低碳低硅钢的脱氧工艺,对连铸过程中水口结瘤的原因进行分析,并提出了优化措施。生产实践表明:钢水中的活性氧质量分数控制在10×10-6～30×10-6时,单中包浇铸炉数由6～7炉提高到11～12炉,同时能保证连铸顺行和减少铸坯气孔。 The deoxidation process of low-carbon and low-silicon steel in steel plant of Chongqing Steel was introduced.The nuzzle clogging was analyzed and some measures were put forward.Production experiments showed that when the active oxygen was controlled between 10×10-6～30×10-6,the amount of furnaces would rise from 6～7 to 11～12,which will make the casting process work well and reduce casting holes.
后天抑制剂获得法制取向硅钢析出物的转化规律
通过后天抑制剂获得法制备了取向硅钢,对渗氮前后和高温退火升温阶段析出物的析出和转化规律进行了研究。研究结果表明,渗氮前脱碳退火态基体中存在少量的粗大AlN颗粒和细小AlN颗粒,渗氮处理后新析出大量的Si3N4析出物,高温退火升温阶段Si3N4将转化为(Al,Si)N,随着温度的继续升高(Al,Si)N颗粒将发生粗化,(Al,Si)N是后天抑制剂获得法制备取向硅钢的主要抑制剂。 Grain-oriented silicon steels were produced by acquired inhibitor method.The rule of precipitate transformation was studied after nitriding treatment and high-temperature finishing annealing.The results show that a small amount of large AlN and fine AlN are found in matrix before nitriding treatment,and a large amount of Si3N4 is precipitated in matrix after nitriding treatment.During the temperature rising period of high-temperature finishing annealing,Si3N4 would transform into(Al,Si)N,and(Al,...
硅钢常化退火炉辊印缺陷预测分类预警方法研究
针对宝钢硅钢常化退火过程中产生的退火炉辊印缺陷问题,通过实际生产的大数据与产品质量问题相结合,将数据挖掘、数据分析方法应用到实际,一定程度上解决了现场实际生产中的痛点,为现场生产提供决策支撑,避免了以前通过人工识别判定存在疏漏和无法定量判断的问题,形成了一套具有鲁棒性和可操作性的钢铁生产过程数据分析方法。通过智慧决策系统平台获取实际生产和表检仪数据,基于Pearson相关系数算法进行变量挑选和特征工程,并应用随机森林算法对数据建立分类预测模型,实现了质量问题的溯源和监控,通过数据量化预测了炉辊印缺陷是否可通过轧制消除的质量问题,识别准确率达到96.43%。 In views of the normalizing annealing furnace roll marks problem occurred in the process of normalizing annealing of silicon steel in Baosteel,by combining big data from actual production with product quality problems,data mining and data analysis methods were applied to actual production to solve the pain points and provide decision support,a robust and practical data analysis method for the steel production process has been developed,which avoided the previous problems of omission and non-quan...
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...
国内外中低牌号无取向硅钢夹杂物控制效果解析
选用国内外无取向硅钢标杆企业A、B、C的产品,采用非水溶液电解提取+SEM(EDS)方法,分析了其典型牌号对应成品试样中的夹杂物。结果表明,从磁性能控制角度而言,受钢的化学成分及生产工艺影响,A、B、C企业成品试样的夹杂物尺寸、种类、数量存在差异,这些差异对其磁性能产生显著影响;从夹杂物控制角度而言,A、B、C企业对应成品试样的夹杂物,以MnS、CuxS复合或者AlN、MnS、CuxS复合为主,其中1.0μm以下的夹杂物数量分别为2.34×107个/mm3、2.98×107个/mm3和11.98×107个/mm3,1.0μm以上夹杂物数量均很少,夹杂物的平均尺寸从大到小依次为A企业、B企业、C企业。 According to the production of three benchmarking manufacture enterprises A,B and C of non-oriented silicon steel at home and abroad,the inclusions in finished steel samples with typical grades were investigated by electrolytic extraction from non-aqueous solution and SEM(EDS).Results show that,from the viewpoint of improving the magnetic properties,affected by chemical composition and production technique,the size,type and amount of inclusions in finished steel samples are various,which will af...
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...
