钢厂
无取向硅钢磷酸盐型杂化涂层性能测试
以质量分数为25%的丙烯酸乳液MC-102、15%Al(H2PO4)3溶液、0.01%H3BO3、0.01%Zn(Ac)2·2H2O和2%二乙二醇丁醚组分,在不同固化工艺下制备涂层。极化曲线和电导率测试发现300℃处理60 s得到的涂层具有良好的耐腐蚀性和绝缘性;水煮实验证明该涂层具有良好的耐水性;断口线扫描发现涂层具有良好的附着性。 A formula comprising MC-102 acrylic emulsion 25%,aluminium dihydrogen phosphate15%,boric acid 0. 01%,zinc acetate dihydrate 0. 01% and diethylene glycol monobutyl ether 2% was used to prepare coatings via different treatment process. The conductivity test and polarization curves revealed that a coating cured at 300 ℃ for 60 s showed good insulative and anticorrosive properties. The water boiling test indicated that the said coating had good water resistance. A cross section of the coating was in...
常化和退火工艺对冷轧无取向硅钢高频磁性能和强度的影响
冷轧无取向硅钢(/%:0.003C,2.35Si,0.22Mn,0.011P,0.002S,0.36A1,0.003 0N)经890℃或940℃3 min常化的2.3 mm热轧板冷轧成0.35 mm薄板。研究了常化温度和800920℃3 min退火对该钢高频(400Hz)磁性能和抗拉强度的影响。结果表明,830920℃退火时高频铁损P10/400值最低,随退火温度增加,晶粒尺寸增大,钢的抗拉强度降低;该钢的最佳热处理工艺为常化温度940℃,退火温度830℃,其抗拉强度Rm、高频铁损P10/400和磁感应强度J50分别为565 MPa,21.5 W/kg和1.69 T。 The cold-rolled non-oriented silicon steel(/%:0.003C,2.35Si,0.22Mn,0.011P,0.002S,0.36A1,0.003 0N) is cold-rolled to 0.35 mm sheet from 2.3 mm hot-rolled plate normalized at 890 ℃ or 940℃ for 3 min.The effect of normalizing temperature and annealing process at 800 920 °C for 3 min on high frequency(400 Hz) magnetic properties and tensile strength of the steel has been tested and studied.Results show that with annealing at 830 920 ℃the high frequency iron loss value P10...
EBSD技术在硅钢织构研究中的应用
运用电子背散射衍射(EBSD)和X射线衍射(XRD)技术对硅钢热轧板的织构在板厚方向的分布进行了研究,并分析了两种织构测量方法的特点。EBSD技术能直观给出板厚方向的微观织构,XRD能得到钢板的宏观统计织构信息,结合两种技术的分析,能更直观更精确的研究不同织构在板厚方向的分布。 The texture distribution along the thickness of the silicon steel has been investigated by electron backscatter diffraction(EBSD) and X-ray diffraction(XRD) technique.The characteristics of two technique of texture analysis have been investigated.Combined the two techniques,the texture distribution along the thickness of the silicon steel could be realized distinctly and accurately.
压下率对取向硅钢热轧板织构的影响
采用X-射线衍射分析技术测定了取向硅钢热轧板在不同压下率下不同厚度处的织构。结果表明,在压下率低于80%的情况下,几乎所有试样的不同厚度处的织构均为旋转立方织构类型{100}<011>,但不同压下率、不同厚度处的织构强度存在很大差异;在压下率大于80%的情况下,不同试样的不同厚度处的织构类型发生了变化,其织构类型为旋转立方织构或高斯织构{011}<100>,且当织构类型为旋转立方织构时,织构强度存在很大差异,而当织构类型为高斯织构时,织构强度差异相对较小。 The texture of the grain oriented silicon steel hot rolled plate at different compressibility has been measured.The experimental results have shown that the texture of all samples at different thickness is {100}<011> when the compressibility is below 80%,and its intensity at different compressibility and thickness is difference.The texture of all samples at different thickness is variable when the compressibility is above 80%,it is {100}<011> or {011}<100>,and the intensity of ...
高硅钢温轧过程压下率及中间退火对组织、织构的影响
传统轧制法制备6.5wt.%高硅钢过程中温轧工艺具有显著不同于3 wt.%Si的电工钢的特点及组织织构特征,是开发新型基于织构优化的高硅钢的关键环节。采用EBSD技术对通过热轧、温轧、冷轧及退火工艺制备0.3mm厚的6.5wt.%Si电工钢板的组织和织构进行分析,重点研究温轧过程中的中间退火和大、小压下率组合以控制织构。结果表明,在热轧退火板是部分再结晶组织的情况下,一次性温轧或先小形变量、中间退火后再大形变量的工艺可得到更多的Goss晶粒;经过最终退火后Goss取向会发生偏转,形成部分黄铜取向,而{111}〈112〉取向的晶粒内形核生成近Goss取向的再结晶晶粒;大压下量轧制是最终组织中{111}取向晶粒较多的主要原因。 Warm rolling,a key process of developing new type high-Si electrical steel based on texture optimization,has significant different characteristics from 3wt% Si steel in conventional preparing process. 0. 3mm thickness 6. 5wt. % Si steel,obtained by a series of processes including hot and warm rolling,intermediate annealing and then cold rolling,was analyzed from microstructure and texture by EBSD,which are utilized mainly for investigating the intermediate annealing process and the combination o...
高磁感取向硅钢涂层技术
涂层技术在高磁感取向硅钢生产中起着重要的作用.根据生产实践,介绍了高磁感取向硅钢生产中涂层的种类和作用、涂料的成分和对产品性能的影响、涂层工艺质量控制要点和检验方法等,并提出了通过优化涂层工艺改善高磁感取向硅钢性能和外观质量的方法. Surface coating technique plays an important role in producing high magnetic inductivity grain-oriented silicon steel.Based on production practice,this paper describes the types and function of the coating,the composition of the coating and its effect on the product performance,the quality control and inspection method for the coatings,as well as proposes ways to improve the magnetic property and surface quality of the steel by optimizing the coating process.
CSP流程生产高磁感无取向电工钢磁各向异性研究
对CSP流程生产的高磁感无取向电工钢50W1300在偏离轧制方向不同角度处的磁性能进行了测试和分析。结果表明:在偏离轧向不同角度处,磁性能差异显著,尤其在α=60°时磁感最低;偏离轧制方向不同角度处的磁性能大小取决于织构类型、强度及分布状态;增强{100}<0vw>和α、η取向的有利织构组分,降低不利的γ取向织构组分,且使有利织构组分分布越漫散,磁各向异性越小。 Magnetic properties of high magnetic induction non-oriented electrical steel 50W1300 produced by CSP processes were investigated with different direction in relation to the rolling direction.The result shows that magnetic properties are significantly different in relation to the rolling direction,in particular,the minimum magnetic induction occurs at 60° in relation to the rolling direction.Magnetic properties of different directions in relation to rolling direction depend on type and distributi...
高硅钢薄板退火过程中的织构演变
采用传统的轧制和退火工艺制备了0.30mm厚的6.5%(质量分数)Si高硅电工钢薄板,采用X射线衍射技术对退火过程中的再结晶织构进行了研究。冷轧高硅钢薄板700℃退火形成以{111}〈112〉为峰值的γ织构(〈111〉∥ND)和以{001}〈210〉为峰值的{001}织构;而900℃以上温度退火则形成强{001}〈210〉织构。进一步的研究表明是在晶粒长大过程中{001}〈210〉发展成为主要再结晶织构组分。 High silicon steel thin sheets with thickness of 0.3mm were successfully produced by conventional rolling and annealing methods.Recrystallization texture was investigated by means of X-ray diffraction.It is found that recrystallization texture is mainly composed of γ fiber(〈111〉∥ND)with peak at {111}〈112〉 and {001} fiber with peak at {001}〈210〉 after annealing at 700℃,while strong {001}〈210〉 component dominates recrystallization texture after annealing above 900℃.It is during grain growth that {...
基于人工神经网络-遗传算法的取向硅钢刻痕工艺优化
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...

