钢厂
稀土铈含量对1.2%Si无取向电工钢组织、织构及磁性能的影响
在实验室模拟CSP流程制备了不同含量稀土铈(质量分数0~0.018%)的1.2%Si无取向电工钢,并对其进行1 000℃×5min的再结晶退火处理,研究了铈质量分数对无取向电工钢夹杂物、显微组织、再结晶织构和磁性能的影响。结果表明:随着铈质量分数的增加,微细夹杂物数量、再结晶晶粒尺寸、{100}和{110}织构组分、磁感应强度先增后减,{111}织构组分、铁损先减后增;铈的质量分数为0.005 1%时,钢中的夹杂物数量最少,再结晶晶粒尺寸最大,有利织构最多,磁性能最优,铁损P15/50为3.253W·kg-1,磁感应强度B50为1.751T。 Non-oriented electrical steels containing different contents rare earth Ce element(0-0.018wt%) were prepared in the laboratory by simulated CSP(compact strip production)process,and then recrystallization annealing at 1 000 ℃ for 5 min were performed,the effects of Ce content on inclusion,microstructure, recrystallization texture and magnetic properties of non-oriented electrical steels were studied.The results show that with the increase of Ce content,the amounts of fine inclusion,the size of re...
基于爱泼斯坦方圈组合和损耗加权处理技术的取向电工钢磁性能扩展模拟
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...
退火温度对3.1%Si无取向硅钢组织织构与磁性能的影响
研究了退火温度对3.1%Si无取向硅钢组织和磁性能的影响规律。结果表明:退火温度从940℃提高至1 000℃,平均晶粒尺寸由98μm增加到145μm,铁损P1.5/50从2.576 W/kg降低至2.408W/kg。随着退火温度的升高,γ不利织构组分强度逐渐降低,{111}〈112〉织构组分强度降低约16%,磁感B50逐渐升高,磁性能水平提高。 The effects of annealing temperature on microstructure and texture and magnetic properties of 3.1%Si non-oriented silicon steel were investigated in this paper.The results showed that,when the annealing temperature increased from 940℃ to 1 000℃,the average grain size of metallographic structure increased from 98μm to 145μm,the iron loss value P1.5/50 decreased from2.576 W/kg to 2.408 W/kg.And as the annealing temperature increased,the strength of the unfavorable texture componentγgrad...
脱碳温度和脱碳时间对CGO取向硅钢碳含量控制的试验研究
通过测试取向硅钢不同工艺条件下的碳含量,探讨了CGO取向硅钢碳含量控制的最优处理条件,研究了脱碳温度和脱碳时间对相同初始碳含量取向硅钢的脱碳效果的影响。结果表明,在气氛为(15%~20%)H2+(75%~80%)N2,炉压差为10~20 Pa的条件下,CGO取向硅钢合适的脱碳温度为1 073 K~1 123 K,脱碳时间为10~20 min。在该处理条件下,能取得较好的脱碳效果。 By means of testing carbon content of oriented silicon steel below the distinct technical conditions,inquires the excellent handle terms of carbon content controlling for CGO oriented silicon steel,studies effects of decarburization annealing temperature and decarburization annealing time to the oriented silicon steel decarburization efficiency in same initial carbon content.The results show that,under the condition of atmosphere(15% ~ 20%) H2+(75% ~ 80%)N2 and furnace pressure difference 10 ~ 2...
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...
无取向硅钢C6厚涂层性能的影响因素
本文介绍了无取向硅钢C6涂液的性能,研究了配水量、固化程度和涂层厚度等因素对无取向硅钢C6涂层性能的影响。结果表明,随着配水量的增加,完全固化所需的时间增加,涂液固体含量降低,涂层厚度减小;随着固化程度的提高,涂层硬度先增大然后趋于恒定,而柔韧性逐渐变差,在过固化后急剧恶化;涂层厚度对涂层的表面外观、附着性和绝缘层间电阻均有显著影响。 Based on the introduction about the performance of C6 varnish for non-oriented silicon steel sheets,effects of water amount,curing degree and coating thickness are discussed. Results show that with the increase of water amount,the time required to cure completely extends,and both the solid content of C6 varnish and the coating thickness decrease. As the curing degree increases,the hardness of the coating increases first and then tends to be constant,however the flexibility degenerates,especially...
轧制复合法制备硅浓度梯度高硅钢薄带的织构演变
采用\"热轧复合+冷轧减薄+退火\"方法成功制备了0.20mm厚的硅浓度梯度高硅钢薄带,并采用SEM和X射线衍射技术对制备过程中组织和织构演变进行了研究。热轧复合板微观组织呈明显层状分布,复合界面为紧密冶金结合且经过83%的大冷轧变形未开裂。热轧和冷轧复合板带中均形成强α和γ织构,再结晶退火后形成强γ织构。冷轧和退火织构沿板厚呈显著的梯度分布特征,其主要来自于复合界面两侧硅浓度和初始热轧织构的差异性以及冷变形的不均匀性。 Gradient high silicon steel thin sheets with thickness of 0.20 mm were successfully produced by the rolling and annealing method,including hot rolling bonding,cold rolling,and annealing.Microstructure and texture evolution was investigated by means of SEM and X-ray diffraction.Microstructure of hot-rolling-bonding shows obviously layered distribution,the composite interface was closely metallurgical bonding and no cracking appears even after 83%cold rolling.Strongαandγfibers develop in the hot a...
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...
