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研究了冷轧95%变形量无取向硅钢不同退火温度(710~1 050℃)下再结晶织构特征.再结晶刚完成时(710℃退火),呈现强γ({111<112>~<134>)与弱{114}<481>织构特征;随退火温度升高至900℃,γ明显减弱,{114}<481>组分持续增强,形成典型的{h,1,1}<1/h,1,2>织构;进一步升温至1 050℃,再结晶织构不再发生明显变化.基于EBSD分析,{114}<481>组分的持续强化可归因于其明显的尺寸优势以及较高频率的高能晶界(取向差角为20°~45°). A non-oriented silicon steel was heavily rolled to 95% reduction and subsequently annealed at 710~1 050 ℃ to investigate recrystallization texture evolution.When annealed at 710 ℃ with complete recrystallization,the texture is characterized by a strong partial γ fiber spreading from {111}<112> to {111}<134> and a weak {114}<481> component.As annealing at 900 ℃,γ fiber is decreased significantly while {114}<481> is increased consistently,producing a typical {h,1,1}<1/h,... 
2013-05-28 188 5.8

利用场发射扫描电镜观察了以MnS为主要抑制剂的普通取向电工钢加工过程中第二相粒子的分布状态,统计了粒子面密度、平均尺寸以及相应的尺寸分布.结果显示,热轧加工造成了大量第二相粒子弥散、细小地析出,同时基体仍保持过饱和状态.冷轧变形会造成第二相粒子的回溶行为,而基体的过饱和状态会减弱回溶现象.中间退火与脱碳退火过程中会同时存在新粒子的形核及已析出粒子的粗化两个过程,而在最终二次再结晶升温阶段则以第二相粒子明显粗化为主. The distribution of second phase particles in conventional grain-oriented electrical steels during manufacturing processes with MnS as inhibitors was observed by field emission scanning electron microscopy,while the areal particle density,the average particle size and the corresponding size distribution were statistically determined.It is indicated that hot rolling leads to dispersive precipitation of a large amount of fine second phase particles and the matrix keeps a supersaturated state furth... 
2011-04-28 177 5.8

在Gleeble-3500热/力模拟试验机上对HW600钢进行高温压缩试验,研究在不同试验条件下的变形抗力。试验结果表明:变形温度对变形抗力的影响最为显著,在相同的变形速率下,随着变形温度的升高,变形抗力降低;在同一变形温度下,变形速率增大,变形抗力增加;在同一变形温度、变形速率下,随着变形程度的增加,变形抗力急剧增大,真应变达到0.1后,变形抗力增加趋势变缓。 The high-temperature compression test is done for HW600 steel with Gleeble-3500 thermal simulation testing machine to research its resistance to deformation under different test conditions.It is showed from result that deformation temperature has greatest effect on the resistance,and along with the temperature getting higher the resistance lowered under same deformation rate;the resistance increases along with deformation rate getting greater under same temperature;and under same deformation tem... 
2013-04-28 133 5.8

研究了激光加热辅助圆盘剪高速切割技术,以解决现有冷轧生产线硅钢切边技术存在的微裂纹、应力、毛刺和边浪等问题。建立了激光加热温度场有限元分析模型,根据生产线上圆盘剪加工的实际过程,探讨了数值模拟中热源的加载形式,研究了激光对板材进行辅助加热时各个工艺参数如激光功率、光斑尺寸以及激光入射角度对切割工艺的影响,并通过实验对工艺参数进行了优化。最后,进了验证实验。实验结果显示:当激光加热点运动至圆盘剪刃口位置时,温度为100℃左右,此时材料硬度降低到原有硬度的70%~80%,降低了切削力,减少了圆盘剪的磨损,可有效提高圆盘剪的寿命。 Laser assisted trimmer side cutting technology was studied to overcome the problems such as micro cracks,stress,burrs and edge waves existing in a cold rolling production line of silicon steel side cutting.A finite element analysis model for the laser hearting temperature field was established, the loading form of a heating source was determined and influences of various processing parameters like laser powers,spot sizes,and laser incident angles on laser assisted heating sheet materials were di... 
2014-05-28 157 5.8

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. 
2023-05-09 200 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和1.67 kg/t钢时,钢中Ca含量分别为0、2×10-6和4×10-(6质量分数);随着钙合金添加量的增加,钢中夹杂物粒度逐渐由0~2μm向2~4μm、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,或与AlN、CaS夹杂复合;钢中粒径为5~10μm的夹杂物基本以Ca的氧化物和硫化物为主。与未经钙处理的炉次相比,钙合金添加量为0.67、1.00和1.67 kg/t钢时,粒径小于1.0μm的夹杂物减少幅度分别为68.06%、87.50%和94.94%。钙合金添加量为1.67 kg/t钢时,可以去除钢中绝大部分的微细夹杂物。 In order to improve the properties of final silicon steels,the calcium treatment was adopted by adding Ca alloys into the liquid steel during the RH refining process.Results show that when the addition of Ca alloys is 0.67 kg/t,1.00 kg/t and 1.67 kg/t,the corresponding Ca content in silicon steels is 0,2 × 10-6 and 4 × 10-6 respectively.With the increase of Ca alloy addition,the particle sizes of inclusions in steels become 2~4 μm and 4~6 μm,from 0~2 μm.Under different calcium treatments,there e... 
2013-02-28 189 5.8

提出一种基于粒子群优化算法实现的硅钢涂层厚度近红外光谱检测新方法。首先,采用近红外光谱仪采集获得了硅钢表面绝缘涂层的近红外光谱,然后,采用离散粒子群算法筛选出近红外光谱数据的最佳波长变量并组成新的光谱数据,最后,建立涂层厚度的核偏最小二乘定量分析模型。实验显示,所建定量分析模型对检验样本分析的绝对误差范围为-0.12~0.19μm,最大相对误差为14.31%,完全符合现场检验需要。研究表明,离散粒子群算法可以有效地筛选出携带更多有用信息的波长变量,提高定量分析模型的分析准确度和速度,是一种有效的近红外光谱波长筛选方法,同时,近红外光谱法也是一种有效的硅钢绝缘涂层厚度检测方法。 A novel thickness measurement NIR spectrometry for surface insulation coating of silicon steel based on discrete binary particle swarm optimization(DBPSO) algorithm is presented.First,we used NIR spectrometer to collect the NIR spectra of insulation coating of silicon steel,and then,DBPSO algorithm was used to select the optimal wavelength variates and composed a new spectra set.Last,the authors created the thickness quantitative analysis model using kernel partial least square algorithm.The exp... 
2011-09-28 133 5.8

以青海盐湖水氯镁石为初级原料,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硅钢级氧化镁前驱体氢氧化镁。原料氧化镁水化实验中对水化剂、水化温度、水化时间、液固比、搅拌速度及陈化时间对水化率、过滤速度和纯度的影响进行系统研究。采用均匀实验设计和DPS数据处理,(依次)通过建模分析、二次多项式模型回归建立数学模型,再通过各因素方差分析和总方差分析,确定了理论最优实验条件,再用理论最优条件作重复实验进行验证,最终确定了原料氧化镁的最佳水化条件。在水化温度60℃,水化时间105 min,液固比4,陈化时间4 h,水化剂1含量4.0%,水化剂2含量3.15%,洗水量4倍,搅拌速度120 r/min时,原料氧化镁的水化率达99.50%以上,得到的硅钢级氧化镁前驱体氢氧化镁纯度高、过滤性能良好。 By spray pyrolysis method,bischofite in Qinghai salt Lake,as primary raw material,was used to prepare precursor raw material MgO for silicon-steel MgO.The precursor raw material MgO was used for preparing Mg(OH)2 which was the precursor of silicon-steel MgO,by hydration method.In the hydration experiment of precursor raw material MgO,some experiment parameters were investigated systematically.such as the hydrated agent,the temperature and time of hydration,liquid/solid ratio that affected the hy... 
2012-04-28 144 5.8

为进行磷酸盐系无铬无取向硅钢涂层烧结固化工艺研究,首先对磷酸盐系无铬无取向硅钢涂层进行热重-差示扫描量热(TG-DSC)分析;然后在不同烧结固化温度条件下,测定涂层板温随时间变化曲线;最终获得涂层烧结固化温度与时间(T-t)工艺曲线。通过中性盐雾试验、动电位极化、交流阻抗、涂层附着力以及扫描电子显微镜(SEM)和能谱(EDS)分析验证。结果表明,根据涂层烧结固化温度与时间(T-t)工艺曲线制备的涂层结构致密、性能优异,证明该工艺曲线具有合理性与正确性。 In order to study the curing process of chromium-free non-oriented silicon steel coatings,phosphatic chromium-free non-oriented silicon steel insulating coating was prepared and TG-DSC analysis of the coating was conducted,then the change of the actual temperature of the coated non-oriented silicon steel sheet with time at different curing temperatures was studied. Based on the experiments,the processing curves of curing temperature vs. curing time( T-t) for the chromium-free non-oriented silico... 
2013-12-28 157 5.8

【作者】 朱一知; 陈山; ...
2011-06-28 129 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... 
2013-05-28 156 5.8

以能量平衡和辐射换热理论为基础,通过合理假定,建立了硅钢无氧化加热炉数学模型。采用数值计算的方法,通过自编程序,完成对带钢加热过程温度场的仿真。结果显示:数学模型能够反映带钢在无氧化炉内的加热过程,其升温曲线能够与工艺曲线相吻合;现行炉温分布并非最优,数学模型能够为炉温分布的优化、炉段的设计提供理论依据。 Mathematical model of NOF Section of Continuous Annealing Furnace is established based on energy balance and radiation heat exchange. The temperature field of steel is simulated by mathematical computation. The simulating results show that the mathematical model can reflect the heating process of silicon steel in NOF section, and the heat-up curve is coincide with the processing curve. From the results,it is known that the current furnace temperature gradient is not the best, and the mathematica... 
2013-06-28 178 5.8

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