硅钢资料

采用轧制法制备出具有低铁损高磁感0.23mm厚6.4%(质量分数)Si高硅钢。沿轧制方向的最终磁性能为B8=1.474 T,B50=1.714 T;P10/50=0.30W/kg,P15/50=0.88W/kg。利用X射线衍射及背散射电子衍射(EBSD)技术分析了高硅钢在轧制及退火过程中的织构演变过程。结果表明,通过采用大压下率热轧,确保热轧板次表层中产生更多的高斯织构,随后进行遗传;温轧板中粗大的晶粒有利于冷轧剪切带的形成;冷轧板经脱碳退火后生成强{210}〈001〉织构及次表层较强的高斯织构是在轧向上获得高磁感的原因,归因于其在{111}〈112〉冷轧形变晶粒内的剪切带优先形核并长大;最终退火后虽出现了随机取向,但以{310}〈001〉织构为代表的η织构得以保留并且增强,进一步提高了磁感。随着退火温度的升高及保温时间的延长,高硅钢薄板晶粒尺寸不断增大,铁损明显降低。 6.4wt%Si high silicon steel sheets(0.23mm thick)with low iron loss and high magnetic induction were successfully produced by rolling process.The final magnetic properties along the rolling direction(RD) were:B8=1.474T,B50=1.714T;P10/50=0.30 W/kg,P15/50=0.88 W/kg.The texture evolution during rolling and annealing was investigated by means of X-ray diffraction and electron backscatter diffraction(EBSD).It was found that more Goss textures formed in the subsurface of hot rolled plates by using larg... 

研究表明,硅钢中的夹杂物对成品带钢的磁性能有显著影响。为研究冶炼过程硅钢中的夹杂物遗传变化,进而提出更有效的控制措施加以去除,本文结合典型的无取向硅钢生产炉次,采用非水溶液电解提取+扫描电镜观察方法分析冶炼过程中上述炉次典型试样的夹杂物。结果表明:转炉冶炼结束、RH精炼开始时,钢的氧化物夹杂总量最大,约为0.23%;RH精炼过程中,氧化物夹杂总量不断降低,并在脱碳结束时达到最低,约为0.02%;连铸过程中,氧化物夹杂总量仍有不断降低趋势,但夹杂物的平均尺寸变化不大。本试验条件下,中间包试样的夹杂物数量约为1.59×104个/mm3。 As we all know, the non-metallic inclusion effects magnetic properties of silicon steel sheets obviously. The article aims to study the heredity of non-metallic inclusion in non-oriented silicon steels during the steel making process, and then provides a more effective controlling measure to remove the inclusions. Based on the typical non-oriented silicon steel charges, the non-aqueous solution extraction and SEM observation were adopted to analyze the non-metallic inclusions. Results show that,... 

【作者】 朱一知； 陈山； ...

【作者】 姚昌国； ...

【作者】 朱传芳； 潘恒韬； ...

在实验室模拟CSP工艺条件下制备了取向硅钢,研究了二次冷轧中间退火工艺对组织和织构的影响。结果表明,中间退火温度对取向硅钢脱碳,高温退火组织及织构均产生明显影响。经940℃中间退火后,取向硅钢脱碳再结晶晶粒较850℃中间退火的多,且再经高温退火处理后,晶粒粗化,最大晶粒尺寸达4.8 mm;高斯织构组分密度达27.00,较850℃中间退火试样高。 Grain-oriented silicon steel was prepared by simulated CSP technology in laboratory. Effects of secondary cold-rolled intermediate annealing on microstructure and texture were studied. The results show that intermediate annealing has obvious effects on the microstructure and texture of the steels after decarburization annealing and high temperature annealing. After intermediate annealing at 940 ℃,recrystallized grain of decarburization annealed steel is more than that of intermediate annealed at... 

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 ... 

【机构】 商务部进出口公平贸易局； ...

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... 

采用中、厚板坯生产技术对取向硅钢进行了研制和开发,对热轧及后工序样品进行了金相组织观察和EBSD分析,探讨了两种组织及织构的差异性,研究结果表明:除高温退火样品外,中板坯生产的取向硅钢各工序样品平均晶粒尺寸大;厚板坯生产的取向硅钢热轧和常化样品亚表层Goss织构强;中板坯和厚板坯的脱碳退火板织构没有明显区别。中板坯生产的取向硅钢成本低,产品磁性能和质量与厚板坯相当。 Grain oriented silicon steel was researched and developed by medium thickness slab and thick slab.Microstructures observation and EBSD analysis to the samples of hot rolling and following processes were carried out,respectively.The differences between the two kinds of microstructures and textures were discussed.The results show that the average grain sizes of every process samples are larger except that of high temperature annealing samples of grain oriented silicon steel produced by medium thic... 

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... 

采用低温板坯加热制备取向硅钢,通过透射电镜(TEM)观察并研究热轧板中的析出物,用ODF织构法研究热轧板距表面1/8、1/4和1/2处的织构分布。结果表明,热轧板中的析出物主要是密排六方AlN,AlN形貌呈规则长方形,AlN颗粒大小不等,分布密度低;热轧板中的织构沿板厚方向,由亚表层的{110}<001>织构向1/2中心层的α线织构变化,其中{110}<001>织构在热轧板距表面1/4层处最强。 The low temperature grain-oriented silicon steels were produced by acquired inhibitor method.The precipitates in hot rolling strip were observed and studied by transmission electron microscope,and the texture distribution in 1/8,1/4 and 1/2 layers of hot rolling strip were analyzed by ODF method.The results showed that the square shaped h-AlN is the main precipitates in hot rolling strip.The precipitates are varying in size and distribution.The texture of hot rolling strip in thick direction are...