硅钢资料

对两种硅钢水溶性极厚绝缘涂层进行了不同温度的热老化实验。通过TG-DTA,GDS,FT-IR,SEM和光泽度仪等测试方法对老化的涂层进行分析表征,提出了评估硅钢水溶性极厚绝缘涂层热老化性能的合理温度区间,探讨了涂层热老化行为,并分析了两种涂层热老化性能的差异。结果表明,涂层附着性随着老化时间的延长逐渐下降。FT-IR表征结果显示,热老化过程中,涂料交联形成的化学键未发生断裂,交联剂氨基树脂的三嗪环被破坏是聚合物三维网络结构坍塌的主要原因。 Thermal aging expriments at different temperature were carried out on two types of water-soluble and extra-thick insulation coatings for non-oriented silicon steel,and a series of test methods such as glossmeters,TG-DTA,FT-IR,GDS,SEM were applied in analysis.For evaluating the thermal aging effect of this kind of insulation coating,the proper temperature range was proposed.The difference of aging performance between two coatings was been investigated and the related behaviors were been discussed... 

研究表明,硅钢中的夹杂物对成品带钢的磁性能有显著影响。为研究冶炼过程硅钢中的夹杂物遗传变化,进而提出更有效的控制措施加以去除,本文结合典型的无取向硅钢生产炉次,采用非水溶液电解提取+扫描电镜观察方法分析冶炼过程中上述炉次典型试样的夹杂物。结果表明:转炉冶炼结束、RH精炼开始时,钢的氧化物夹杂总量最大,约为0.23%;RH精炼过程中,氧化物夹杂总量不断降低,并在脱碳结束时达到最低,约为0.02%;连铸过程中,氧化物夹杂总量仍有不断降低趋势,但夹杂物的平均尺寸变化不大。本试验条件下,中间包试样的夹杂物数量约为1.59×104个/mm3。 As we all know, the non-metallic inclusion effects magnetic properties of silicon steel sheets obviously. The article aims to study the heredity of non-metallic inclusion in non-oriented silicon steels during the steel making process, and then provides a more effective controlling measure to remove the inclusions. Based on the typical non-oriented silicon steel charges, the non-aqueous solution extraction and SEM observation were adopted to analyze the non-metallic inclusions. Results show that,... 

采用铸坯低倍组织检验和化学分析的方法,研究板坯连铸机二冷区电磁搅拌器电流和频率参数对无取向电工钢XG800WR板坯中心偏析和等轴晶率的影响,结果表明:铸坯等轴晶率随着搅拌器电流强度和电流频率的增大而增加。采用二冷区电磁搅拌可减小中心易偏析元素S的偏析,试验得出:减小铸坯S偏析效果最好的电磁搅拌参数为电流380～400A,频率6Hz。 The effect of electromagnetic stirring current and frequency parameter at secondary cooling area on the central segregation and equiaxed crystal ratio of XG800WR non - oriented electrical steels slab was investigated through the methods of chemical and macrostructure analysis.The results shows that the rate of equiaxed crystal zone is going up with increasing of current intensity and current frequency.Electromagnetic stirring in the secondary cooling area can be easily reduced segregation caused... 

采用电子背散射衍射技术测定50SW1300冷轧无取向硅钢中不同尺寸范围晶粒的含量,利用主成分回归分析法,综合研究不同尺寸范围晶粒的含量对无取向硅钢磁性能的影响。结果表明:通过主成分回归分析法能够从不同尺寸范围晶粒的含量的多个影响因素中获取主要的因素,定量研究它们对无取向硅钢磁性能的影响规律。分析表明,无取向硅钢的铁损与不同尺寸范围晶粒的含量之间存在着可靠的多元线性关系,在一定范围内,较大尺寸晶粒的含量越多,其对铁损优化的作用越明显;而无取向硅钢的磁感与不同尺寸范围晶粒的含量之间并无线性关系。 Distribution of grain size in cold rolled non-oriented silicon steel 50SW1300 was measured by EBSD.The effects of the distribution of grain size on magnetic properties of the non-oriented silicon steel were comprehensively researched by means of principal component regression method.The results indicate that the main factors influencing the magnetic properties in the distribution of grain sizes,which can be used to guantitative study the magnetlic properies of the steel,are obtained by principal... 

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... 

取向硅钢常化工序主要采用现场实测带钢温度的方式测定冷却速率，并通过稳定冷却水温、调整冷却水量及喷梁运行数量等方式保证合理的冷却速率，给常化工艺设计和生产带来诸多不便。通过对常化工艺水冷过程带钢的传热分析求解，在建立带钢水冷温度模型的基础上，研究了不同冷却工艺参数对带钢温度及冷却速率的影响规律以及冷却工艺的交互作用结果。结果表明：模型计算结果能够较好地反映取向硅钢在常化水冷过程中的温度及冷却速率的变化，其计算误差为0.80%～4.11%;在特定取向硅钢厚度规格和常化工艺下，随着常化冷却水量及有效冷却长度的增加，带钢水冷温度及冷却速率与呈非线性变化；常化水冷工艺主要通过调控带钢与冷却水之间热交换量和交换时间实现对带钢温度的控制，实际生产中需综合考虑机组速度、冷却水量及有效冷却长度之间的交互作用，选定喷梁投入数量和冷却水量以获得稳定的冷却速率。 The cooling rate of normalization process mainly determined by measuring the grain oriented silicon steel strip temperature on site, and ensures the cooling rate by stabilizing the cooling water temperature, adjusting the cooling water volume and the operation quantity of spray beam, which brings inconvenience to the normalization process design and production. Based on the heat transfer of strip in the water cooling section of normalization process, the water cooling temperature model for the n... 

电工钢反复弯曲次数是电工钢性能检验的重要指标之一,直接影响到用户在使用电工钢过程的机加工性能。主要分析了试样宽度、试样张力、晶粒取向、反复弯曲设备等因素对电工钢反复弯曲试验的影响,并对各个因素的影响程度进行量化以及原因探讨,从而归纳形成各影响因素的基本规律,以便为电工钢实际生产、用户使用提供科学指导。结果表明:试样宽度增加,反复弯曲次数也会不断增加,晶粒位向对取向电工钢的反复弯曲次数影响较大,当支座顶部到拨杆底部的距离减小或拉紧力增加时,反复弯曲次数会不断减小,但当拉紧力达到60N以上时,对反复弯曲次数影响不大,试样经退火后,反复弯曲次数略有上升。 The reverse bend number is an important performance of electrical steels′capabilities,affecting the machining performance directly when the customers used.It investigated some factors,such as sample′s width,sample′s tension load,grain orientation and equipment,how to effect the reverse bend test for electrical steel,measured the influence degree,and discussed the reason,in order to form basic rules which could be guided the manufacturing and using for electrical steel.Results showed that the rev... 

试验研究了退火温度(850~950℃)和时间(5~18 min)对2.3 mm热轧硅钢板(/%:0.036C,3.15Si,0.21Mn,0.005P,0.007S,0.032A1)6道次轧制的0.35 mm冷轧板组织和织构的影响。结果表明,退火温度越高,晶粒平均尺寸越大,900℃5 min退火时平均晶粒尺寸41.39μm,试样织构主要集中在γ取向线上的{111}<112>织构组分和{111}<110>织构组分;900℃18 min退火时平均晶粒尺寸为48.08μm,试样的{111}面织构和{112}面织构密度都明显减弱,{001}面织构增强,磁性能较优。 The effect of annealing temperature(850 ~950 ℃) and holding time(5 ~ 18 min) on structure and texture of 0.35 mm sheet by 6 passes cold-rolling from 2.3 mm hot-rolled plate of silicon steel(/%:0.036 C,3.15 Si,0.21 Mn,0.005 P,0.007 S,0.032A1) has been tested and studied.Results show that the higher the annealing temperature the coarser the average grain size;As annealing at 900 ℃ for 5 min the average grain size of steel sheet is 41.39 μm,and the texture in sample is mainly concentrated in y orie... 

【作者】 严伟明； ...

对西昌钢钒炼钢厂200 t BOF(顶底复吹)-RH-CC工艺生产50PRW800无取向硅钢RH精炼过程中主要成份进行了分析。找出了目前工艺中影响钢液质量的主要因素是钢水脱氧处理不彻底,造成加入的部分硅元素烧损。操作工艺改为铝的脱氧即合金化操作一步完成,保证了钢水中氧处于一个较低的范围,从而减少对硅元素的烧损,提高合金收得率。 The factors of BOF-RH-CC process affecting the compositions of liquid steel were systematically investigated and studied of Xichang Steel and Vanadium Company. The main factors affecting the steel cleanliness were picked out. All results showed that the loss of silicon elements resulting from the deoxidization of liquid steel was not completely. It was suggested that the addition of aluminum for deoxidizing and alloying of molten steel was executed as one step in order to lower the oxygen potent... 

结合工业化生产的无取向硅钢,进行了RH精炼添加稀土合金实验。结果表明,1.15%(质量分数)Si钢的脱硫反应,主要发生在添加稀土合金之后的前5min。最佳的稀土合金添加量为0.6～0.9kg/t钢。钢液经过稀土处理后,加入的稀土总量越多,稀土氧硫化物夹杂物的尺寸就越大,但热轧带钢再结晶效果会逐渐变差,成品带钢晶粒尺寸先是快速长大,而后逐渐减小。最佳的钢中存留稀土含量与钢的化学成分有关,应严格控制在2.0×10-3%～6.0×10-3%(质量分数)。在此范围内,钢的铁损先是快速降低,而后缓慢升高,钢的磁感应强度则单调降低。 Based on the industrial production of non-oriented electrical steel,rare earth(RE) alloy treatment during the RH refining process was studied.The results showed that the effects of desulfurization and total concentration of RE remained in steel mainly depended on the chemical compositions of different steel grades.For 1.15wt% Si steel grade,the desulfurization reaction mainly focused on the initial 5min after RE alloy added during the RH refining process.The suitable RE alloy addition was 0.6-0.... 

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...