钢厂
TSCR试制高强度无取向电工钢
采用固溶强化、细晶强化和位错强化方法,模拟TSCR流程试开发高强度无取向电工钢,试开发钢的主要合金成分为3%Si、0.83%Al和2.99%Mn。分析热轧、常化、退火后的钢板组织,并针对不同的成品板组织,详尽地分析了相应的力学性能和磁性能。试验电工钢平均晶粒直径为12.37μm时,R p0.2为530 MPa,R m为618 MPa;当退火制度为700℃×4 min,成品组织完全为未再结晶的回复组织时,R p0.2为853.5 MPa,R m为895.5 MPa。该成分的电工钢P15/50或P10/400最小时,对应的平均晶粒直径都大于59.67μm;P10/800或P10/1000最小时,对应的平均晶粒直径都处于12.37~59.67μm尺寸区间。 TSCR was simulated to develop high-strength non-oriented electrical steel with 3% of Si,0.83% of Al and 2.99% of Mn by solution strengthening,grain refinement strengthening and dislocation strengthening.The microstructures of hot rolled plates,normalized plates and annealed plates were analyzed.Furthermore,the mechanical properties and magnetic properties of products with different microstructures were detailedly studied.As the average grain diameter of the steel was 12.37 μm,the yield strength ...
本钢无取向硅钢热轧生产工艺路线的实践
冷轧无取向硅钢是高技术含量、高附加值产品,工艺复杂,生产周期长,过程控制难度大,被誉为钢铁产品中的\"工艺品\"。热轧生产工艺又是无取向硅钢生产的重中之重,直接决定了硅钢的铁损和电磁性等多项指标。 Cold rolled non-oriented silicon steel is high technology content 、high added value product. Its process is complex, its production cycle is of length, and its process control is difficult, which is known as the iron and steel products \" Arts and crafts\". Hot rolling production process is the top priority of non-oriented silicon steel, which directly determines iron loss of the silicon steel and electromagnetic property,as well as other many index.
国内外中低牌号无取向硅钢夹杂物控制效果解析
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...
CGO硅钢各阶段织构遗传继承性的EBSD分析
利用EBSD技术对CGO硅钢热轧、中间退火、脱碳退火及二次再结晶退火组织及织构进行分析,研究了CGO硅钢各阶段加工制备过程中高斯{110}<001>晶粒的形状、尺寸及分布特点,分析了高斯取向晶粒在各工序过程中的遗传继承性特点。结果表明,CGO硅钢热轧板的次表层存在Goss取向晶粒,历经一次冷轧及中间退火后Goss取向晶粒基本消失,一次再结晶之后Goss织构仍不是主要织构,主要织构为{111}<110>和{111}<112>,说明Goss取向晶粒在二次再结晶退火前数量及尺寸上并不占优势,二次再结晶过程中Goss取向晶粒异常长大形成锋锐Goss织构。{111}<110>和{111}<112>织构组分的强度在一次冷轧中不断增加,{111}<112>织构组分的强度在二次冷轧后达到最大而{111}<110>织构组分是在初次再结晶后变强。 Grain shape,size and distribution of { 110} < 001 > Goss grains in CGO steel and the hereditary characteristics of Goss orientated grains during each processing period were investigated,based on the analysis of the microstructure and texture of the CGO silicon steel during hot rolling,intermediate annealing,decarburizing annealing and secondary recrystallization annealing by means of EBSD. The results show that Goss orientated grains exist in the subsurface of the hot rolled plate,and Goss...
取向硅钢常化水冷温度模型及控制方法研究
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...
大数据技术在硅钢产品质量管控中的应用实践
磁性能指标是硅钢产品最关键的质量指标之一，但是目前磁性能判定100%依赖于样品的离线实验室检测结果，生产线配置的在线检测仪的测量结果由于精度问题，不宜直接用于成品牌号判级。本文在现有硅钢产品质量管控体系基础上，利用大数据技术对生产数据进行分析与建模，构建不同磁性能指标在线检测模型，并在现有信息系统上完成模型库的集成部署，实现硅钢产品全长、多指标磁性能结果的拟合数据输出，支撑取样优化、精准分切、辅助综合判定等功能应用，进一步优化硅钢产品质量管控体系。 The magnetic performance index of silicon steel products is one of the most critical quality indexes.However,at present,100%determination of magnetic performance depends on the offline laboratory test results of samples,and the measurement results of the online detector configured in the production line cannot be applied in practice due to the accuracy problem.Based on the existing quality control system of silicon steel products,big data technology was used to analyze and model the production d...
晶粒尺寸对无取向硅钢磁性能影响的主成分回归分析
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...
热处理工艺对含Mn高硅钢热轧带的组织及硬度的影响
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...
