硅钢资料

研究了电工钢SXRC的显微结构和疲劳性能,并与DP钢进行了比较。结果表明,退火温度低温化能够有效的抑制电工钢的再结晶。该钢在固溶铌的作用下,能够在保证电机磁性的同时具有一定的强度。与DP钢相比,SXRC钢的抗疲劳性能更好。 The microstructures and fatigue properties of the electrical steel SXRC we re investigated, and the properties were also compared with the steel DP. The results show that the recrystallization of the electrical steel can be suppressed at lower annealing temperature. The steel presents favorable motor magnetic and also a compatible strength with the help of solid-solution Nb. Compared with the steel DP, the fatigue resistance of the steel SXRC is preferable. 

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... 

介绍了烟气余热利用系统的工艺流程及控制思想,结合该系统在钢厂硅钢连续退火机组中的应用实践,估算出烟气余热利用系统每年可节约蒸汽5 040 t,经济效益良好,同时分析了该系统存在的问题及对策。 Introduced a method about the process and control of the application of waste heat system, which had been used into a silicon steel continuous annealing line and profiting a good economic benefit by saving a large number of steam every year, which has been estimated about 5 040 tons, and analyzed the problems and solutions existed in this system. 

结合冶炼无取向硅钢的生产实际,对钢中硫的来源,以及炉渣性质、钢水温度、底吹强度对脱硫的影响进行了分析。研究表明,转炉钢中硫的主要来源为铁水、废钢、铁水渣及石灰带入;冶炼硅钢时,终渣碱度为3.0~3.5,w((FeO))≤20%,终点钢水温度大于等于1 680℃,加大底吹搅拌强度能提高转炉脱硫效果。硅钢平均出钢硫的质量分数为0.004 8%,能满足无取向硅钢对硫含量的要求。 With the actual production of non-oriented silicon steel,the source of sulphur and the effect of metallugic parameters like slag properties,temperature of molten steel and bottom stirring on desulphurizing ability were investigated.The results show that the main source of sulphur is molten metal,scrap,the remaining slag volume in hot metal and lime.The degree of desulphurization for smelting silicon steel can be increased through adopting the following measures,such as the basicity of finishing ... 

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... 

研究了热处理工艺(退火温度、保温时间、冷却方式)对含Mn的Fe-6.5wt%Si高硅钢热轧带的显微组织及硬度的影响。结果表明,退火温度对Fe-6.5wt%Si合金的组织和显微硬度均有较大影响,随退火温度升高,平均晶粒尺寸和显微硬度均明显增大。小于1 h退火时,晶粒长大缓慢,而长时间(>1 h)退火时,一些次表层晶粒将发生异常长大。水冷组织比空冷组织略细小,但水冷显著降低了显微硬度。Mn含量提高能抑制850℃退火时晶粒的长大,并且促进退火后高硅钢的软化。 The influences of heat treatment process(annealing temperature,heating time,cooling methods) on the microstructure and microhardness of Fe-6.5wt%Si high silicon steel containing manganese for hot rolled strip were studied.The results show that the annealing temperature has a great effect on the microstructure and microhardness of Fe-6.5wt%Si alloy,and as the annealing temperature increases,the average grain sizes and microhardness will significantly increase.When annealing time for less than 1 h... 

以试验室模拟CSP工艺生产的Fe-3Si热轧钢带为研究对象,采用正交试验及方差分析的方法,研究了取向硅钢初次再结晶退火工艺对高温退火后获得锋锐的高斯织构的影响。结果表明:取向硅钢两段式初次再结晶脱碳退火工艺参数加热段保温时间及加热温度是高温退火后获得锋锐高斯织构的主要影响因素,其可信度分别在90%和85%以上;在本试验条件下,通过正交试验获得的最佳退火工艺为:冷硬板经600℃保温3 min和850℃保温6 min。 Fe-3Si hot rolled strip was produced by simulating CSP technology in the laboratory.Orthogonal experiment and analysis of variance were carried out to investigate the influence of primary recrystallization on the sharp Goss texture of the oriented silicon steel.The results show that holding time of the heating section and the heating temperature for a sharp Goss texture of the samples annealed has important implications in this experiment conditions,the two-step decarburization annealing process... 

取向硅钢热轧板中组织、织构梯度对发展完善的二次再结晶十分关键,通过对2种不同热轧工艺生产取向硅钢的组织、织构进行研究,结果表明:采用后道次大压下热轧工艺时热轧板表层再结区晶粒平均尺寸增加,再结晶区厚度增加,高温退火后二次晶粒尺寸减小;采用后道次大压下热轧工艺热轧时,热轧板中平均等效应变高,热轧板厚度心部{100}〈011〉和{100}〈001〉位向取向强度降低,({111}～{113})〈110〉位向取向强度提高,高温退火后{110}〈001〉位向偏离角降低,磁性能提高。 The texture and microstructure gradient in hot rolled grain oriented silicon steel strip was one of the essential factors to achieve a perfect secondary recrystallization.The texture and microstructure of grain oriented silicon steel strip as-rolled with two different hot rolling parameters was investigated.The results show that with big reduction at the end rolling process,the intensity of {100}〈011〉 and {100}〈001〉 orientation reduces with({111}-{113})〈110〉 orientation intensity enhanced in hot... 

借助高温激光共聚焦显微镜,在线观察了不同Mn含量的无取向硅钢中夹杂物的尺寸、类型、数量变化。结果表明,Mn含量(质量分数)为0.77%、0.32%时,试样中的夹杂物数量分别约为1000万个/mm3、1600万个/mm3。Mn含量较高的钢种,会优先析出球形、椭球形MnS夹杂物,其析出数量较少,尺寸相对较大,可以有效抑制AlN、CuxS夹杂物析出;Mn含量较低的钢种,会在试样再加热后冷却过程中,先析出相当数量MnS夹杂物,并作为AlN夹杂物析出核心,形成MnS+AlN复合夹杂物。这种复合夹杂物数量较多,尺寸也较大。 Based on the high temperature confocal microscope, the chage of size, type, and quantity of inclusions in non-oriented silicon steels with different Mn content were observed by in-situ SEM. Results show that the inclusion quantities are 10 million per mm3 and 16 million per mm3,while the mass fractions of Mn are 0.77% and 0.32%, respectively. In the silicon steel with higher Mn content, the spherical and ellipsoidal MnS inclusion will precipitate first, which can retard the precipitation of AlN ... 

选用Q235和Q345钢,在纯锌浴和含钛量分别为0.05%、0.10%、0.15%、0.20%(质量分数)的合金浴中浸镀0.5、1、3、5、8 min。利用扫描电子显微镜和能谱仪研究了钛对热浸镀锌组织和生长动力学的影响,并提出钛对含硅钢铁锌反应抑制作用的机理。结果表明:钛的加入缩短了Γ的孕育期,促进了合金层中δ的生长和ζ的消失,δ的生长依然受扩散控制,呈抛物线生长规律;Zn-0.05%Ti锌浴可以很好的抑制高硅钢的硅反应性;含硅钢热浸镀锌钛合金浴时,在锌浴中会形成锌铁钛三元T相,该相能吸收ζ晶界处富集的硅,从而抑制了铁锌反应。 Both Q235 and Q345 steels were immersed for 0.5 to 8 min in Zn bath with different amount of Ti,ranging from 0 to 0.20 mass%,for galvanization.The effect of Ti in Zn bath on microstructure and growth kinetics of hot-dip galvanizing coatings on the two steels were investigated by means of SEM and EDS analysis.Base on the experiment,the mechanism of Ti additions in controlling Fe-Zn reaction was proposed.The results show that addition of Ti in the zinc bath decreases the incubation time of Γ phase... 

研究了应用电感耦合等离子体质谱(ICP-MS)同时测定硅钢中痕量铝、钼、钒、钛、铌元素的分析方法。通过条件试验对测量参数进行了优化,确定RF功率1 400 W,泵速30rpm,采样深度140,雾化压力0.90。样品采用硝酸分解,以Be、Y混合内标校正了测量过程中高基体引起的信号漂移。根据测量时存在的质谱干扰情况,选择同位素27 Al、98 Mo、51 V、47 Ti和93 Nb作为测定同位素,同时通过调节仪器参数使得双电荷离子和氧化物离子的产率最低,以减少其带来的干扰。采用基体匹配法配制校准溶液,以标准加入法建立工作曲线,并扣除试剂空白。该方法各元素的测定下限均可达到1μg/g。用于硅钢标准样品的测定,所得结果与参考值完全吻合,各元素的RSD小于5.2%。 A method for the determination of trace aluminum,molybdenum,vanadium,titanium and niobium in silicon steel by inductively coupled plasma mass spectrometry(ICP-MS) was described.A series of single parameter condition experiment was conducted.The optimized operation parameters with RF power 1 400 W,turbo pump rate 30 rpm,sampling depth 140 and nebulizer pressure 0.90 were obtained.The samples were dissolved by HNO3,and the Be and Y mixing internal standard were used to eliminate the signal drift c... 

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...