论文

在现普通冷轧无取向硅钢的基础上,降低Si含量,复合添加少量辅助元素,组合热轧板处理和成品退火加热技术,研制出了免常化处理的高磁感、低铁损并具有良好耐酸腐蚀性能的新系列无取向电工钢。 Based on existing common cold rolled non-oriented silicon steel,a new series of non-orientedelectrical steel with high induction,low core loss and excellent anti-corrosion property has been developed by reducing Si element,adding complexly a small amount of supplementary elements,and employing combined treatment of hot rolled sheet and finished product annealed heated technology. 

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... 

【摘要】 <正>目前,日本进口硅钢猛增,6月份4181吨,...

综述了国内外大钢铁企业与研究机构采用获得抑制剂法生产低温高磁感取向硅钢的开发及应用情况,分析了以该法生产高磁感取向硅钢过程中抑制剂的控制技术,包括固有抑制剂组成方案、气态渗氮方式与工艺及高温退火工艺的制定.研究表明,固有抑制剂组成方案的设计思路大体一致,化合物抑制剂以AlN为主、硫化物为辅,同时添加少量Sn,Sb等单元素抑制剂,但组成元素含量存在一定差别;在脱碳退火后用NH3进行非平衡渗氮处理已成为气态渗氮的主要方式,但最佳方式仍未明确,具体选择需依据实际生产条件,相应脱碳及渗氮工艺的控制条件差别较大;高温退火工艺中升温制度差别不大,升温阶段退火气氛中N2含量的选择存在差别.此外,分析了抑制剂控制技术目前存在的关键问题,并指出了进一步的研究方向. The current application and exploitation on production of low-temperature high magnetic induction grain-oriented silicon steel with acquired inhibitor method at both iron and steel enterprises and research institutions in the world are reviewed. The control techniques of inhibitors, which include the composition design for inherent inhibitors, nitriding method and process, and secondary recrystallization annealing, are thoroughly analyzed and proposed. It is indicated that the design ideas for i... 

利用EBSD技术研究了电工钢中长轴平行于轧向的柱状晶样品在热轧和退火过程中组织和取向的演变规律,并与长轴平行于板法向的样品的已有研究结果进行对比。结果表明,无论柱状晶按何种方向排列,只要表面存在剪切力,热轧后都可形成剪切织构,同时中心形成轧制织构,主要包括旋转立方织构和{112}<1-10>。柱状晶造成的影响主要体现在板中心层,长轴平行于轧向排列的样品热轧时形成的粗大旋转立方晶粒要到脱碳退火后才能完全消除,但破坏了正常的不同取向晶粒间的取向差分布及尺寸均匀性,导致二次再结晶不完全及磁性能降低。 The evolution of microstructure and grain orientation in an electrical steel containing columnar grains with its long axis being parallel to the rolling direction of sheet was studied during hot rolling and annealing by EBSD technique.The results are compared with those of samples containing columnar grains being parallel to normal direction of sheet reported in the reference [3].It was shown that,whether the long axis of columnar grains was arranged in RD or ND,shear textures can be formed in t... 

采用取向分布函数分析了无取向电工钢不同再结晶退火温度下的织构变化及织构对磁感应强度和铁损的影响,并计算了无取向电工钢的磁晶各向异性能。结果表明,随着实验钢的再结晶退火温度升高,Goss织构和立方织构组分显著增强,而{111}面织构强度却减弱。较高的退火温度有利于减小织构因子,提高磁感应强度。磁晶各向异性能计算结果显示,随着再结晶退火温度升高,无取向电工钢板的磁晶各向异性能降低。 The recrystallization texture and the relationship of texture to magnetic induction intensity and core loss of a non-oriented electrical steel were investigated by orientation distribution function analysis. The magnetic anisotropy energy of the steel was calculated also. The results show that,the intensity of Goss texture and cubic texture increases,but the intensity of { 111} texture decreases with increasing recrystallization annealing temperatures of the steel. The higher annealing temperatu... 

试验2.3Si无取向硅钢(/%:0.003C,2.30Si,0.16Mn,≤0.020P,≤0.005S,0.54Al)冷轧板由常化和未常化的2.5 mm热轧板冷轧至0.6 mm(压下率76%),经750~950℃2.5 min中间退火后再冷轧至0.5 mm(压下率16.7%),成品板经890℃+960℃2.5 min退火。研究了中间退火温度对该钢晶粒尺寸、织构和磁性能的影响。结果表明,随中间退火温度的升高,二次冷轧前晶粒和成品晶粒增大,成品中不利织构组分{111}和{112}减弱,磁性能得到改善。热轧板经过常化时的磁性能明显好于未经常化时的磁性能,但中间退火温度较高时常化对磁性能的有利作用减弱。 The test cold sheet of 2.3Si non-oriented silicon steel(/%:0.003C,2.30Si,0.16Mn,≤0.020P,≤0.005S,0.54Al) is first cold-rolled from normalized and un-normalizing 2.5 mm hot-rolled plate to 0.6 mm sheet(reduction 76%),then intermediate annealed at 750~950℃ for 2.5 min and double cold-rolled to 0.5 mm sheet(reduction16.7%),the finished sheet annealed at 890℃+960℃ for 2.5 min.Effect of the intermediate annealing temperature on grain size,texture and magnetic performance of the steel has been studied.... 

利用OM、SEM、TEM等实验方法研究了卷取工艺对一种新型含铜无取向电工钢晶粒度和析出相的影响。结果表明,该电工钢热轧带卷取后的晶粒尺寸为18～24μm,在卷取过程中,热轧带中有一定数量的第二相析出,经EDS能谱及选区电子衍射分析,这些析出相主要为AlN。随着卷取工艺的变化,该电工钢的晶粒度大小变化不明显,析出相的类型、尺寸大小不发生改变,体积分数发生一定的改变。 The effects of coiling process on grain size and precipitates of a new copper-bearing non-oriented electrical steel were investigated by OM,TEM and other experimental method.The results show that the grain size of hot-rolled bands after coiling is 18～24 μm.The second phases precipitate during coiling process.They are mainly AlN by EDS spectra and selected area electron diffraction.With the change of coiling process,the grain size of the electrical steel does not change significantly;the type and... 

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... 

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... 

研究的两种取向硅钢（%:No1-0.042C、3.16Si、0.009Al、0.07Mn、0.50Cu、0.015S、0.0084N和No2-0.040C、3.20Si、0.014Al、0.22Mn、0.49Cu、0.016S、0.008 2N）由50 kg真空感应炉冶炼,锻成（mm）350×120×35板坯,经1 250℃30 min加热,开轧温度1 100℃,5道次热轧成2.3 mm板,终轧温度950～1 000℃。实验结果表明,两热轧板沿板厚方向存在组织和织构的不均匀性,热轧板次表层为再结晶组织,有较强的Goss织构组分;中心层为形变组织,具有典型的形变织构。含0.22%Mn的No2钢次表层{110}〈001〉织构组分比含0.07%Mn的No1钢弱,中心层{001}〈110〉织构组分大大强于0.07%Mn No1钢,导致两者磁性能差异,0.22%Mn No2钢磁感应强度(B₈₀₀)和铁损(P_1.7/50)分别为1.87 T和1.24 W/kg,0.07%Mn No1钢分别为1.88 T和1.18 W/kg。 Studied both grain-oriented silicon steels（%:No1- 0.042C,3.16Si,0.009Al,0.07Mn,0.50Cu, 0.015S,0.0084N and No2-0.040C,3.20Si,0.014Al,0.22Mn,0.49Cu,0.016S,0.0082N） are melted by a 50 kg vacuum induction furnace,forged to（mm） 350×120×35 slab,heated at 1 250℃for 30 min,with beginning rolling temperature 1 100℃hot-rolled to 2.3 mm plate by 5 passes,finishing-rolled at 950～1000℃.Test results show that the structure and texture along thickness of both hot-rolled plates are inhomogeneous:the subsurface ... 

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...