论文

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,... 

结合工业化生产的无取向硅钢,进行了RH精炼喂CaSi线去除钢中的非金属夹杂物试验研究。针对不同的钙处理条件,分析了CaS夹杂生成热力学,观察了夹杂物的形貌和尺寸分布,确定了夹杂物的类型、数量,探讨了钙处理后钢中夹杂物的变化规律。结果表明,本试验条件下,钙处理可以有效抑制MnS、AlN夹杂物的生成,有效促进钢中微细夹杂物的聚合、上浮、去除,钢质纯净度明显提高。经过合适的钙处理后,钢中的夹杂物以独立存在的CaO为主,同时有少量含CaO、SiO2、MgO的复合夹杂,没有发现CaS夹杂存在。这部分夹杂物的尺寸集中分布在2～20μm,数量约为1.8×105个/mm3。 Experimental study on removal of non-metallic inclusions in non-oriented silicon steel obtained from industrial production by CaSi wire feeding during RH refining process was carried out.The thermodynamics of CaS inclusion formation was analyzed,the morphology and the size distribution of inclusions were observed,and the numbers and types of inclusions were also determined for the steel specimens treated under different calcium treatment conditions.Furthermore,the variation of inclusion characte... 

介绍了国内、外电工钢极薄带的生产现状及市场应用的情况,以及典型生产企业的生产规模、产品性能和应用领域,指出扩大高牌号无取向电工钢生产、提高产品质量是目前电工钢发展的迫切要求。 The production situation and market application of ultra thin electrical steel strip at home and abroad were described.The production capability,product property and application area of typical corporation were introduced.The results indicate that the urgency needed of electrical steel development is expanding high-grade non-oriented electrical steel production and improving products quality at present. 

【作者】 潘恒韬； 欧阳帆； ...

采用双辊连铸工艺制备了硅的质量分数分别为0.5%,1.0%,3.0%,4.5%的硅钢薄带,用光学显微镜观察其组织,并研究了后处理工艺对薄带组织和性能的影响。结果表明:硅含量为0.5%和1.0%的薄带适合采用一次冷轧+850～950℃退火的后处理工艺,而硅含量在3.0%以上的薄带适合采用二次冷轧+950℃退火的后处理工艺;硅含量为3.0%和4.5%的薄带在冷轧并950℃退火后,其磁性能最佳,铁芯损耗约为4.30 W·kg^-1,磁感应强度约为1.68T。 Silicon steel thin strips with silicon content of 0.5wt%,1.0wt%,3.0wt%and 4.5wt%were prepared by twin-roll continuous casting process,and the microstructure of the strips were observed by means of optical microscopy,and on the basis,the effect of post-treatment process on microstructure and properties of the strips was studied.The results show that the post-treatment process of one-time cold rolling and annealing between 850—950℃was suitable for the strips with silicon content of 0.5wt%and 1.0wt... 

【作者】 汤婧； ...

通过金相分析和电子背散射衍射技术研究了一种新型含铜无取向电工钢在950℃退火不同时间(3～180s)空冷后的组织和织构取向的演变。结果表明:该钢在退火3s时的主要织构为α和γ线织构,{100}<110>织构最强;退火20s时织构以<111><112>、{111}<110>、{112}<110>、高斯织构和立方织构为主,随着退火时间的延长,高斯织构和立方织构强度呈减弱趋势;合理控制保温时间有利于提高{100}、{110}面织构的占有率。 Evolution of microstructure and texture oriented of a new non-oriented electrical steel during annealing at 950℃for different times(3-180) s and air cooling was studied by metallography and electron back-scattering diffraction analysis.The results show that after annealing for 3 s most of the texture oriented alongα-fibre andγ-fibre,the intensity of {100}〈110〉was the strongest.{111}〈112〉,{111}〈110〉,{112}〈110〉,Gauss texture and cube texture were the main texture after annealing for 20 s,with the ... 

【作者】 韩超； 代智肄； ...

聚焦无取向硅钢产品标准,从电磁性能、表面性能、机械性能以及尺寸公差与边部质量等维度对国际标准IEC、EN、JIS、ASTM以及国标GB进行了分析研究。分析得出,各类标准在电磁性能方面要求基本一致;ASTM标准的机械性能要求有别于其他几个标准。 In this paper,non-oriented silicon steel standards of EN,JIS,GB and ASTM were compared and analyzed. It is showed that,all types of standards in electromagnetic performance requirements are basically the same. Surface properties in ASTM standard are expressed in the most detailed. The mechanical properties requirements of the standards,except for ASTM,are basically the same. 

为了确保硅钢铬酸盐涂料的环保性,需要严格控制涂料的固化工艺,保证涂料固化过程中涂料中的六价铬充分转化为三价铬。对涂料及原料进行热重分析(TG)及差示扫描量热法分析(DSC)。结果表明,MgO与铬酐混合转化为MgCrO4,使六价铬稳定性增强,其中大部分Cr6+转变为Cr3+发生在620~700℃,在450~500℃高于铬酐发生大量失重,因此必须加入还原剂保证涂料中六价铬被充分还原;超过360℃后树脂会发生分解,因此实际板温不能超过360℃;加入了还原剂的整体涂料的失重温度区间主要在260~320℃,因此涂料固化时钢板的实际温度最佳区间为320~360℃。 Because of the silicon steel chromate coating’s environmental requirements,the paint curing process must be controlled strictly to ensure all Cr( Ⅵ) transforms to Cr( Ⅲ). The TG and DSC analyses of the paint are studied. The reaction of MgO and CrO3 would generate MgCrO4,enhancing the stability of Cr( Ⅵ). The most r( Ⅵ) in MgCrO4 changes to Cr( Ⅲ) at 620-700 ℃,while the CrO3 has a large weight loss at 450-500 ℃. The reductant must be added in the paint to make sure the Cr( Ⅵ) could transform suf... 

通过Axio Imager金相显微镜考察4.5%~7.0%硅(质量分数)对高硅钢材料组织形貌的影响,并利用Fe-6.5%Si高硅钢薄板制备方法对其进行轧制,通过DDL50电子万能试验机对阶段产品进行力学性能测试。结果证明,硅含量为5.58%的高硅钢在实验硅含量区间内存在最大延伸率及最小铸态组织晶粒尺寸。 An investigation about the influence of 4.5%-7.0% Si on microstructure and mechanical properties of high-silicon steel was presented.SEM was adopted to take an observation towards microstructure during fabrication,and DDL50electronic universal testing machine was applied into the detection of tensile curves.The results show that silicon steel with 5.58% Si provides the maximum elongation and minimum grain size as cast. 

研究了应用电感耦合等离子体质谱法(ICP-MS)测定硅钢中痕量铜和镍的分析方法。采用硝酸分解样品,通过内标校正和基体匹配消除了基体干扰的影响,同时根据测量时存在的质谱干扰情况,选择同位素65Cu和60Ni作为测定元素和通过调节仪器参数使双电荷离子的产率最低,以减少带来的干扰。该方法用于硅钢中痕量铜和镍的测定,所得的结果与ICP-AES法测定结果完全吻合,各元素测定结果的RSD值小于5%,加标回收率为97.3%～100.3%。 A method for the determination trace copper and nickel in silicon steel by inductively coupled plasma mass spectrometry(ICP-MS) was studied.The samples were dissolved in HNO3.The effect of matrix interference was eliminated by internal standard correction and matrix matching.Meanwhile,according to the mass spectral interferences in determination,the isotopes including 65Cu and 60Ni were used as measuring elements.The yield of double-charge ions were minimized by adjusting instrumental parameters...