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通过观察冲剪边缘组织,测量冲剪边缘的显微硬度、残余应力的分布情况和磁性能的变化研究了冲剪加工对无取向硅钢50WW800边缘组织和磁性能的影响。对冲剪后硅钢片进行750℃退火,分析退火对组织和磁性能的影响。结果表明,硅钢片剪切边缘会存在0.4 mm的形变硬化层,边缘应力大,铁损增加。退火后变形减小,形变硬化层变小,残余应力大幅度减少,铁损减少。 The influence of punching process on cutting edge microstructure and magnetic properties of non-oriented silicon steel 50WW800was studied by observing microstructure and measuring microhardness near cutting edge.The residual stress distribution in the silicon steel tooth and magnetic properties were measured.Effect of annealing at 750 ℃ on microstructure and magnetic properties of the silicon steel was analyzed.The results show that a cut-edge hardening layer up to 0.4 mm is observed,residual st... 
2023-04-28 243 5.8

在实验室试制了TSCR流程的低碳低硅无取向硅钢,研究了在850~1050℃不同温度常化对冷轧量0.5mm厚钢板再经950℃×7min退火后的组织、织构和磁性能的影响。结果表明:随常化温度的升高,使热轧板晶粒尺寸增大,晶界更清晰,组织均匀性更好;由于第二相AlN和MnS析出物尺寸比较大,使冷轧退火后钢板晶粒也随常化温度升高呈单调增大趋势;γ有利织构和{111}、{112}不利织构与常化温度升高同时增强,但前者增强更多;冷轧板退火后铁损随常化温度升高呈单调下降,磁感呈单调上升趋势。 The low-carbon and low-silicon non-oriented silicon steel was prepared by thin slab casting and rolling(TSCR) in lab.The effect of normalizing at different temperatures in 850-1 050℃on microstructure, texture and magnetic properties of 0.5 mm cold-rolled sheets after annealing at 950℃for 7 min was researched. The results show that with increasing the normalizing temperature,the grain size of hot-rolled sheets increased,the grain boundaries were more clear and the rnicrostructure uniformity was b... 
2011-03-28 185 5.8

【摘要】 <正>2012年3月29日中国钢铁工业协会在上...
2012-04-28 180 5.8

西安重型机械研究所为武钢开发了目前国内第一台自动化水平较高的先进可靠的硅钢热轧试验轧机。本文介绍了该轧机的工艺参数、设备组成,技术特点及轧制流程,该轧机在规定的终轧温度范围内,实现了2.5 m/s的快速轧制速度,保证了控制系统准确及时的采集到轧件进出轧辊时的信号,缩短道次间隙时间,实现了自动控制,保证了产品板形及精度的高水平要求,对于硅钢尤其是对其取向硅钢新产品、新工艺的开发具有深远意义。 An experimental prototype of 400 mm silicon steel hot rolling mill was developed by Xi’an Heavy Machinery Research Institue for Wu Gang.The technological parameters,configuration and characteristic of advanced control system in the experimental prototype are introduced in detail.The experimental prototype was realized the fast rolling of 2.5 m/s in the range of specified rolling temperature.Its automatic rolling control system can acquisite the signals that a rolled piece enters in and exits fro... 
2011-04-28 195 5.8

针对新日铁公开的相关专利,总结日本高强度无取向电工钢的研究进展,分析了各专利化学成分、生产工艺及产品性能的特点,指出固溶强化、细晶强化、析出强化、位错强化都有可能被用来提高无取向电工钢的强度。在高强度无取向电工钢的研发过程中,需要根据其具体用途确定目标性能,再采用合适的强化手段,从而实现力学性能、磁性能和生产性能之间的平衡。 Authors summarize the research progress of high strength non-oriented electrical steel in Japan by learning related patents brought into the public by Nippon Steel. Authors also analyze the characteristics of the chemical composition, production technology and properties of products in the patents and point out that any ones of solution strengthening method, fine-grain strengthening method, precipitation strengthening method or dislocations strengthening method may be used to improve the strengt... 
2013-11-28 171 5.8

对商用50W330型无取向硅钢成品在930℃下保温2 h固溶并以不同方式冷却处理,利用磁性检测仪检测分析了处理前后的磁感和铁损变化,应用光学显微镜、扫描电子显微镜、X射线衍射仪观测分析了显微组织结构的演变。考察了平均晶粒尺寸、织构组分比及第二相粒子状态对磁性能的影响规律,结果表明:固溶处理前后平均晶粒尺寸的变化对硅钢磁性能的影响非常显著;当平均晶粒尺寸相差不大时,织构组分比[Goss+{100}]/{111}越大,磁感会越高;固溶处理会将细小弥散的第二相粒子重新回溶到基体中,减小了其对磁畴壁的钉扎作用,铁损随之下降。 The commercial 50W330 non-oriented silicon steel samples were heat treated at 930℃ for 2 h and cooled in different ways,then the iron loss and the magnetic induction of the samples before and after solution treatment were measured with a magnetic detector.The evolution of microstructural texture was analyzed by optical microscopy,scanning electron microscopy and X-ray diffractometry.The effects of average grain size,texture composition ratio and the second phase particles on the magnetic propert... 
2012-04-28 235 5.8

目的提高硅钢的磁性能。方法采用多弧离子镀技术,在普通取向硅钢薄板两面沉积高硅FeSi合金层制得高硅梯度硅钢,并进行热处理,观察其显微组织,测量磁性能。结果退火态高硅梯度硅钢表面的高硅FeSi合金层与基底结合紧密,均匀致密。高硅梯度硅钢中硅含量呈梯度分布,最表层硅质量分数为11.0%,随着深度增加,硅含量逐渐降低,在距表面20μm处硅质量分数仍能达到6.5%。沉积态高硅梯度硅钢的电阻率ρ、低频铁损P10/50、高频铁损P10/1k及磁感应强度B8分别为68.6μΩ·cm,0.82W/kg,83.3 W/kg和1.73 T,退火后分别为63.1μΩ·cm,0.44 W/kg,54.38 W/kg和1.89 T。结论由于表层高硅FeSi合金层的存在,梯度高硅钢的低频磁学性能良好,但高频损耗需进一步改善。 Objective To improve the magnetic properties of silicon steel. Methods FeSi alloy coatings with high-silicon content were deposited on the surface of common grain-oriented silicon steel by cathodic arc plasma evaporation,and then a kind of high silicon gradient steel was prepared. The morphologies,content and magnetic properties of the samples were tested. Results FeSi alloy coatings were featured with compact microstructures and excellent adhesive quality with the substrates. The silicon conten... 
2014-03-28 198 5.8

采用RH精炼添加钙合金方式对硅钢进行钙处理。结果表明,钙合金添加量为0.67、1.00、1.67kg/t钢时,钢中钙含量分别为0、2×10-6、4×10-6;随着钙合金添加量增大,钢中夹杂物粒度逐渐由0~2μm向2~4、4~6μm偏移;不同钙处理条件下,钢中均存在粒径小于1μm和粒径为1~5μm的MnS、CuxS夹杂物,后者或单独存在,或同AlN、CaS夹杂复合;粒径为5~10μm区间,钢中的夹杂物基本以钙的氧、硫化物为主。与钙处理前相比,钙合金添加量为0.67、1.00、1.67kg/t钢时,粒径小于1.0μm的微细夹杂物减少幅度分别为68.06%、87.50%、94.94%。钙合金添加量为1.67kg/t钢时,可以去除钢中绝大部分的微细夹杂物。 Ca alloy was added into the liquid steel during RH refining,and the results show that Ca concentration in final Si steel sheets is insignificant,about 0,2×10-6 and 4×10-6 when the added amount of Ca is 0.67,1.00 and 1.67 kg/t steel,respectively.With the increase in the added Ca alloy amount,the inclusions in the steel gradually change from those of 0~2 μm to those of 2~4 and 4~6 μm.Under different Ca treatments,there exist MnS and CuxS inclusions whose size is below 1 μm as well as MnS and CuxS ... 
2013-02-28 182 5.8

利用本钢技术中心试验厂技术手段,并与北京钢铁研究院合作,试制了用作家电用电机、微电机、小电机或部分中型电机铁芯的冷轧无取向电工钢。试制钢硅含量小于0.5%,钢板表面平滑,公称厚度0.5mm,且厚度均匀偏差小,性能测定结果表明,产品的磁性能、力学性能满足其使用要求。 BX STEELTechnology Center pilot plant using technical means,and with Beijing Iron and Steel Research Institute,trial cold rolled non-oriented electrical steel that has been used as appliance motor core,micro motor core,small motor core,or part of the medium-sized motor core。Trial steel of silicon content is less than 0.5%,steel plate surface is smooth,the nominal thickness of 0.5mm,and the thickness deviation is small,performance measurement results show that the magnetic properties,mechanical p... 
2011-01-28 218 5.8

以青海盐湖氯化镁为初级原料,采用喷雾热解法制备原料氧化镁。原料氧化镁通过水化制备氢氧化镁。将氢氧化镁过滤、洗涤、烘干、粉碎、煅烧,制备硅钢级氧化镁。本文重点考察煅烧温度、煅烧时间、料层厚度等因素对氧化镁水化率的影响,采用均匀实验设计和DPS数据处理,确定最优煅烧实验条件为:煅烧温度1250℃,煅烧保温时间4小时,料层厚度0.5cm。在此条件下得到的硅钢级氧化镁完全满足硅钢及氧化镁的行业标准。 The magnesium oxide is prepared by Spray pyrolysis process,which magnesium chloride from Qinghai Salt Lake is used as primary raw material,and hydrated to magnesium hydroxide,then obtained silicon steel magnesia through filtering,washing,drying,crushing and calcinations.In this paper,influences of some factors on magnesia hydration rate are studied,such as calcination temperature,calcination time and material thickness.After average experimental design and DPS data processing,optimal calcination... 
2013-05-28 155 5.8

组织和织构是影响无取向硅钢性能的重要因素。为改善产品性能,研究了冷轧压下率(71.7%~87.0%)对高牌号无取向硅钢组织、织构、磁性能和力学性能的影响。结果表明,随冷轧压下率的增加,退火晶粒平均尺寸先减小后增大;高斯和立方织构强度减弱,γ纤维织构增强,α纤维织构转变为较强的α*({h, 1, 1}〈1/h, 1, 2〉)织构,并随冷轧压下率的增加而增强,同时其峰值逐渐向{111}面移动;工频铁损P1.5/50、高频铁损P1.0/400和磁极化强度J5000同时降低,屈服强度变化不大,表面硬度逐渐增加。当冷轧压下率由84.7%增至87.0%、厚度减至0.30 mm时,高频铁损降幅是工频铁损的11倍,表面硬度增幅变大。以上研究成果对硅钢减薄后织构及组织的优化提供了很好的指导。 Microstructure and texture are critical factors on non-oriented silicon steel properties. In order to improve product properties, this paper studied the effect of cold rolling reduction rate(71.7%-87.0%) on microstructure, texture, magnetic properties and mechanical properties of high-grade non-oriented silicon steel. The results show that with the increase of cold rolling reduction rate, the average size of annealing grain decreases first and then increases. The intensity of Goss and λ fiber te... 
2022-05-28 212 5.8

为了优化激光刻痕降低取向硅钢铁损的工艺,寻找刻痕速度、脉冲能量、扫描间距等重要刻痕参数的最佳匹配关系,提出了一种基于人工神经网络与遗传算法的优化模型,并利用这种模型对30Q130取向硅钢材料的刻痕工艺进行了优化实验,结果表明,这种模型稳定可靠,可以作为取向硅钢刻痕工艺优化的一种有效的措施。 A laser is often considered to scribe the grain-oriented silicon steel surfaces after cold-rolling and annealing to reduce the core loss.It is necessary to select the best scribing parameters to maximize the reduction in this process.This paper proposes an optimization method of genetic algorithm during laser scribing of 30Q130 steel,by developing an artificial neural network prediction model using a database form a designed orthogonal experiment.The objective is to determine the best combinatio... 
2011-08-28 166 5.8

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