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通过实验室25 kg真空感应炉冶炼和锻轧研究了0.26%~0.95%Al含量对0.5 mm 2.2%Si无取向硅钢冷轧板组织、织构和磁性能的影响。试验结果表明,0.26%~0.81%Al含量时,随钢中Al含量的增加,成品退火钢板的晶粒尺寸增加同时铁损减少;当Al含量大于0.81%时,随Al含量增加,钢板的晶粒尺寸减小,同时铁损增加。Al含量对硅钢板磁感的影响没有明显的规律。2.2%Si无取向硅钢的合适Al含量为0.48%~0.81%。 The effect of 0.26%~0.95%Al content on structure,texture and magnetic performance of 0.5 mm cold rolled sheet of 2.2%Si non-oriented silicon steel has been studied by a 25 kg vacuum induction furnace smelting,and forging -rolling in laboratory.Results show that as 0.26%~0.81%Al,with increasing Al content in steel the grain size of annealed finished sheet increases while iron loss of sheet decreases,and as Al content in steel is more than 0.81%,the grain size of sheet decreases while iron loss in... 
2011-06-28 135 5.8

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... 
2014-10-28 177 5.8

结合实际生产0.4%Si无取向硅钢,统计了不含Sn和0.025%Sn无取向硅钢的磁性能变化,利用金相显微镜、X射线衍射仪观察分析不同成分下试样的显微组织和微观织构。试验结果表明:Sn元素可以显著降低无取向硅钢的晶粒尺寸,0.025%Sn试样的平均晶粒尺寸比不含Sn减小28.4%;加入Sn元素后抑制了无取向硅钢中不利于磁性能的{111}面织构组分强度,提高了对磁性能有利的{100}面织构组分强度,0.025%Sn与不含Sn相比磁感均值从1.756 T提升至1.768 T,铁损均值从5.476 W/kg降低至5.204 W/kg,明显改善了无取向硅钢磁性能。 In this paper combined with the actual production of 0.4% Si non oriented silicon steel, the magnetic properties of non oriented silicon steel without Sn and 0.025% Sn were counted. The microstructure and microtexture of samples with different compositions were observed and analyzed by metallographic microscope and X-ray diffraction. The results show that: Sn can significantly reduce the grain size of non oriented silicon steel, and the average grain size of 0.025% Sn sample is 28.4% smaller tha... 
2022-01-28 150 5.8

研究二次冷轧压下率对于硅的质量分数为3.0%的无取向硅钢组织结构和磁性能的影响。结果表明:当第二次冷轧压下率从0变化至16.7%时,铁损逐渐增加,磁感逐渐降低。当第二次冷轧压下率大于16.7%时,随压下率的增加,铁损逐渐减小,磁感逐渐增加。当第二次冷轧压下率大于38%时,二次冷轧法所能获得的磁性能明显优于一次冷轧法。 Effect of double cold reduction on magnetic,microstructure and texture of 3.0% Si non-oriented silicon steel sheets was investigated.The results show that the iron loss increases and magnetic induction reduces as the percentage redcution in secondary cold rolling changes from 0 to 16.7%.The core loss can be reduced remarkably,and magnetic induction can get a little benefit if the percentage redcution in double cold reduction is higher 16.7%.In case of higher than 38% of the percentage redcution ... 
2012-11-28 151 5.8

通过对连退线SF炉内的电加热体的焊接技术进行总结分析,得出焊接时应采用的主要方法,采用本焊接方法可提高电加热体的焊接速度和焊接质量,保证了焊接质量和施工工期。 SF furnace for continuous annealing line heating body welding technology summary,the main method used in welding,welding method by using the electric heater to improve the welding speed and welding quality through the implementation of this method to ensure the welding quality and Construction period. 
2011-06-28 120 5.8

作为一种具有优异高频铁磁性能的合金,Fe-6.5%Si(质量分数)高硅钢在高频工况条件下降损效果明显,对电气行业应用器件高频化、小型化、节能等具有十分重要的意义。通过与取向硅钢测量B-P数据对比,验证了高硅钢高频超低损特性,且轧制高硅钢与日本CVD法生产高硅钢存在基本相同的铁损值。采用国标Epstein Square法对0.30mm高硅钢薄板进行单片测试,并对由0.30mm高硅钢薄板首次装配成的电感器进行铁损测试,对比测试结果表明,元件测试与单片测试数据基本吻合,高磁感应强度条件下,元件测试结果略低于单片测试,分析原因为:线圈引起励磁压降;元件叠片间出现短路,电流增大,损耗增加;气隙板厚度过大。 As one core material with excellent high-frequency ferromagnetism,Fe-6.5%Si performs obviously reduction on core loss in high field frequency which means much to high frequency,minimization,energy conservation in electric industry.Super low loss was verified by drawing B-P curves based on detected experimental data,and which went equal to Fe-6.5%Si thin strip fabricated by CVD in Japan.Fe-6.5%Si was firstly fabricated as inductor in this research,and its core loss was determined for comparison w... 
2023-05-09 185 5.8

基于简化的取向硅钢片模型,系统地对不同的交流激励下的硅钢叠片内铁损、交链磁通和空气中指定位置的法向漏磁的分布进行了\"单片级\"的测量,并建立了相应的硅钢叠片级问题的三维有限元分析模型,进行了大规模的数值计算分析。模型实验和数值分析的结果表明垂直进入硅钢片的漏磁通和损耗呈现浅透入的特点,在硅钢片内引起的涡流损耗在总铁损中占据了\"举足轻重\"的份额。用电磁场有限元分析软件MagNet瞬态场时步法计算结果与测量结果相吻合,说明本文方法研究复杂的硅钢叠片问题的有效性。 The measurement and 3D finite element analysis of the iron loss,interlinkage flux inside the laminated silicon steel sheets and the magnetic flux densities at the specified positions are carried out based on a verifying silicon steel sheet model.The modeling results show that the leakage flux vertically through the silicon steel sheets has the peculiarity of shin effect,and the eddy current loss caused by the AC leakage flux is a significant component of the total iron loss.The calculated result... 
2013-05-28 137 5.8

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... 
2023-05-12 1.33k 5.8

通过对辉光放电发射光谱参数的优化,以铁元素为内标来消除基体效应,建立了测定硅钢薄板中微量硼元素的方法。优化的实验参数为:放电电压1200 V,放电电流50 mA,预溅射时间40 s,积分时间10 s。校准曲线硼元素含量范围0.0001%~0.022%,相关系数大于0.999,测量结果与认定值一致,相对标准偏差小于10%。完全能够满足日常分析测试的要求。 A glow discharge optical emission spectrometry(GD-OES) method for determining trace boron element in silicon steel sheets were established through optimization of instrumental parameters and using Fe element as an internal standard to eliminate the matrix effect.The optimized instrumental parameters included discharge voltage,discharge current,pre-sputtering time and integration time,which are 1200 V,50 mA,40 s,and 10 s,respectively.The content of boron element that can be determined from the ca... 
2011-03-28 140 5.8

【作者】 宋波; ...
2013-05-28 101 5.8

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,... 
2014-05-28 147 5.8

试验研究了0.3 mm取向硅钢冷轧板(/%:0.046C,3.07Si,0.09Mn,0.029P,0.004S,0.005A1)的退火温度(760~880℃7 min)和退火时间(820℃3~9 min)对该钢的晶粒尺寸,再结晶和织构的影响。结果表明,最佳初次再结晶退火工艺为820℃5 min,该钢的平均晶粒尺寸为14.20μm,完全再结晶率为92%,不利{111}<110>结构含量为3.16%,有利织构{111}<112>,{012}<001>和高斯织构含量分别0.40%,4.73%和2.46%。 The effect of annealing temperature(at 760 ~ 880 X.for 7 min) and time(at 820℃ for 3~9 min) on grain size,recrystallization rate and texture of 0.3 mm cold-rolled sheet of oriented silicon steel(/%:0.046C,3.07Si,0.09Mn,0.029P,0.004S,0.005Al) has been tested and studied.Results show that with optimum recrystallized annealing at 820℃ for 5 min,the silicon steel average grain size is 14.20 fun,the complete recrystaUization rate is 92%,the unfavourable-texture {111}< 110 > content in steel is ... 
2014-03-28 127 5.8

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