硅钢资料

研究了退火温度对3.1%Si无取向硅钢组织和磁性能的影响规律。结果表明:退火温度从940℃提高至1 000℃,平均晶粒尺寸由98μm增加到145μm,铁损P_1.5/50从2.576 W/kg降低至2.408W/kg。随着退火温度的升高,γ不利织构组分强度逐渐降低,{111}〈112〉织构组分强度降低约16%,磁感B₅₀逐渐升高,磁性能水平提高。 The effects of annealing temperature on microstructure and texture and magnetic properties of 3.1%Si non-oriented silicon steel were investigated in this paper.The results showed that,when the annealing temperature increased from 940℃ to 1 000℃,the average grain size of metallographic structure increased from 98μm to 145μm,the iron loss value P_1.5/50 decreased from2.576 W/kg to 2.408 W/kg.And as the annealing temperature increased,the strength of the unfavorable texture componentγgrad... 

提出了一种基于爱泼斯坦方圈族(包括标准25cm爱泼斯坦方圈、缩比的17.5cm和20cm爱泼斯坦方圈)和二级加权处理方法对爱泼斯坦测试数据,包括有效磁路长度、比损耗、励磁功率,进行处理的晶粒取向电工钢磁性能扩展模拟方法。详细地考察了励磁频率、试样剪切角度和环境温度对爱泼斯坦方圈测量结果的影响。研究结果表明,利用本文提出的爱泼斯坦方圈组合以及二级加权处理技术,可以有效地建立取向电工钢损耗模拟模型,从而更加准确地确定了取向电工钢的损耗,改善并提高了爱泼斯坦磁性能测试数据的应用价值。 The extended modeling of the magnetic properties of GO(grain oriented) electrical steel is presented in this paper which is based on a set of standard and scaled-down Epstein frames and a proposed two-level weighted processing of Epstein data, including the mean magnetic path length, specific magnetization loss and exciting power. The effects of excitation frequency, strip angle and ambient temperature on the results obtained from the Epstein frames are investigated. It is shown that using the p... 

以青海盐湖氯化镁为初级原料,采用喷雾热解法制备原料氧化镁。原料氧化镁通过水化制备氢氧化镁。将氢氧化镁过滤、洗涤、烘干、粉碎、煅烧,制备硅钢级氧化镁。本文重点考察煅烧温度、煅烧时间、料层厚度等因素对氧化镁水化率的影响,采用均匀实验设计和DPS数据处理,确定最优煅烧实验条件为:煅烧温度1250℃,煅烧保温时间4小时,料层厚度0.5cm。在此条件下得到的硅钢级氧化镁完全满足硅钢及氧化镁的行业标准。 The magnesium oxide is prepared by Spray pyrolysis process,which magnesium chloride from Qinghai Salt Lake is used as primary raw material,and hydrated to magnesium hydroxide,then obtained silicon steel magnesia through filtering,washing,drying,crushing and calcinations.In this paper,influences of some factors on magnesia hydration rate are studied,such as calcination temperature,calcination time and material thickness.After average experimental design and DPS data processing,optimal calcination... 

对无取向硅钢炼钢全流程钢液增钛的原因进行了分析,认为铁水钛含量、转炉出钢温度、转炉下渣量、精炼渣TiO₂含量、钢水罐及RH浸入管混钢种生产是影响钢液增钛的主要原因。通过采取低钛铁水冶炼,减少转炉下渣量,提高出钢温度,添加白灰改质精炼渣等措施,均能够降低钢液中的钛含量。 After analyzing the causes leading to increased content of titanium in molten nonoriented silicon steel during whole steelmaking process, it was concluded that such factors as content of titanium in hot metal, tapping temperature from converter, quantity of roughing slag entered into the ladle from converter, content of TiO₂ in refining slag, molten steel ladle car,carrying out the steelmaking of different steel grades by the same ladle and same RH immersion tube were the main causes ... 

通过试验确定氩气分析流量为3.5L/min,静态流量为0.75L/min,冲洗时间为3s,预燃时间为12s,积分时间为5s的激发条件,采用火花源原子发射光谱法测定取向硅钢中碳、硅、锰、磷、硫。分别采用铣床铣样、砂轮磨样两种制样方式进行了精密度考察,发现制样方式对结果影响不大;讨论了取向硅钢样品中碳、硅、锰、磷、硫测定时可能存在的共存元素干扰,发现硅对锰元素的干扰不可忽略,采用干扰系数法进行了校正,据此拟合得到各元素校准曲线的相关系数均在0.999 0以上。精密度考察结果表明,碳、硅、锰、磷、硫的相对标准偏差(n=10)在0.71%~9.4%之间。对两块取向硅钢生产样品进行分析,并与钢铁研究总院进行比对分析,结果一致,且偏差均在允许范围内。 Carbon,silicon,manganese,phosphorus and sulfur in oriented silicon steel were determined by spark source atomic emission spectrometry.The selected excitation conditions were as follows:the analytical flow rate of argon was 3.5L/min,the static flow rate was 0.75L/min,the flush time was3s,the precombustion time was 12sand the integration time was 5s.Two sample preparation methods,including milling machine and grinding wheel,were investigated.The precision test results showed that,the determination... 

硅钢工业退火炉温度控制具有强耦合、纯滞后、多扰动等特点,它的控制方法代表着一类非线性系统控制的解决方法。以硅钢工业退火炉温度为控制对象,在双交叉限幅控制的基础上引入了智能学习系统,形成了基于智能学习系统的双交叉限幅控制方法来解决此类非线性系统的控制问题,并通过模块化的编程来实现其功能。结果表明:与传统的PID控制相比,该控制方法的控制精度、抗扰性等控制指标有明显提高,是解决此类非线性控制的一种有效方法。 The temperature control of silicon steel industrial annealing furnace has the features of strong coupling,pure lag,multidisturbance. The control method represents the solution of a class of nonlinear control systems. The control object is the temperature control of silicon steel industrial an-nealing furnace, the intelligent learning system based on Double Across Limit Control is introducedand used to solve control problem of this kind of nonlinear system, and the module programming isused to re... 

近年来，在节能减排背景之下，国内外众多研究者对无取向电工钢磁性能的提升做了大量研究。为了探索无取向电工钢磁性能提升的方法，对锡或锑对无取向电工钢磁性能的作用机制(晶粒尺寸和晶体织构的控制)进行分析。基于该作用机制，介绍锡或锑的添加对无取向电工钢磁性能的影响。经研究发现，适量的锡或锑在晶界偏聚，不会阻碍晶界的移动并且致使晶粒尺寸降低；与此同时，锡或锑在晶界偏聚不仅抑制{111}织构在原始晶界处形核及生长，还降低(100)晶粒表面能，促进(100)晶粒生长。因此，适量添加锡或锑，可使无取向电工钢铁损下降、磁感提升。最后结合生产工艺，建议无取向电工钢的研究方向应为稀土含量对高牌号无取向硅钢夹杂物尺寸和数量分布的影响，锡或锑的添加量和常化工艺参数(常化时间、常化温度)对常化晶粒尺寸的影响。 In recent years, due to the background of energy saving and emission reduction, numerous researchers all around the world have done a lot of investigations on the improvement of magnetic properties for non-oriented electrical steel. In order to explore the method of improving the magnetic properties of non-oriented electrical steel, the mechanism of tin or antimony on the magnetic properties(the control of grain size and crystallographic texture) of non-oriented electrical steel is illuminated. ... 

【作者】 严伟明； ...

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... 

对高牌号无取向电工钢国内生产情况、工艺技术、产品性能及应用领域等进行了阐述,并探讨了高牌号无取向电工钢产品的发展趋势。 This paper introduces basic facts on the production status,process technology and products’ properties and their applications of non-oriented electrical steel with high grade at home,and then discusses the development trend on technology for producing the non-oriented electrical steel with high grade. 

对硅钢板材分别进行异步和同步轧制,研究了轧制参数包括速比、压下量和道次对板材表面显微组织的演变的作用.结果表明,异步轧制硅钢板材表面形成了晶粒尺寸为10~50 nm,取向接近随机分布的纳米晶,而同步轧制板材的表面只形成了位错胞,证明异步轧制可以诱发表面纳米化.异步轧制板材表面纳米晶的形成过程为:在剪切力的反复作用下,高密度位错形成、滑移、湮灭和重组形成亚微米尺度的亚微晶/位错胞.随着压下量和轧制道次增加,高密度位错重复以上过程使晶粒尺寸减小、取向差增大,最终形成取向接近随机分布的纳米晶组织.大压下量和多道次是异步轧制诱发板材表面纳米化的关键,而速比的增加可以加快纳米化进程. Surface nanocrystallization(SNC) can effectively enhance the surface and global properties of the metallic materials,such as microhardness,intensity,fatigue,wear and corrosion resistances,therefore provides more promising practical industrial applicability.Up to now,several SNC treatment methods were developed based either on the principles of ball impactions or friction sliding,however,difficulty still exists for the surface treatment of large-dimensional samples with high efficiency.Recently,m... 

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...