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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... 
2023-05-09 184 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,... 
2014-05-28 143 5.8

【作者】 韩超; 代智肄; ...
2022-04-28 143 5.8

研究了采用高温卷取热轧态原料和常化态原料生产高牌号冷轧无取向电工钢组织、织构和磁性能。研究发现钢卷采用750℃高温卷取,下线后立即采用\"保温罩\"对钢卷进行保温,时间96h,然后空冷至100℃时上线生产的工艺可取代常化工艺生产高牌号冷轧无取向电工钢。冷轧上线前,热轧态原料的表层为大量的再结晶组织,这部分组织包括了热轧轧制时保留下来的动态再结晶组织,钢卷本身高温回复后产生再结晶晶粒,以及在保温罩内保温时形成的再结晶组织。高温卷取的热轧态和常化态的热轧卷作为原料时,试样织构类型相似,取向分布密度接近,再结晶后织构类型仍然相似,取向分布密度仍然接近。Goss织构对磁性能增加有促进作用。实验钢中较好的磁性能对应的织构[{100}+Goss]/{111}的比值较高,体现了织构的遗传性。 Microstructure,texture and magnetic properties of high grade cold rolled nonoriented electrical steel which made of hot rolled material with high temperature coiling and with normalization were studied.Steels coiled in high temperature(at 750 ℃),stacked with insulation cover for 96hand air cooled to 100 ℃ were using to manufacture high grade nonoriented electrical steel.The process can replace the normalization process.There are a lot of recrystallized grains in the surface layer of the coil wit... 
2014-03-28 138 5.8

分析了高转矩和高转速条件下高效驱动马达铁芯材料对无取向硅钢磁性能要求,讨论了无取向硅钢的高磁通密度和低铁损对电机转矩和效率的影响,介绍了国内外高磁感无取向硅钢发展情况。在生产工艺上,提高钢质纯净度,弱化夹杂物和第二相粒子对畴壁移动和再结晶晶粒长大的钉扎作用,添加微量晶界和带钢表面的偏析元素促使有利织构发展等技术可提高无取向硅钢的磁通密度。 The requirements of high efficient drive motor core materials under the conditions of high torque and high speed were analyzed.The effects of high magnetic flux density of non-oriented silicon steel on the torque and efficiency of the motor were discussed.The development of non-oriented silicon steel with high magnetic was introduced.The magnetic flux density of non-oriented silicon steel sheet can be obviously improved by some production technologies,such as purification steel,weakening the pin... 
2023-05-11 1.32k 5.8

【作者】 陶永根; ...
2011-01-28 145 5.8

采用硅钢自动测量装置及X射线衍射仪检测出样品在实验前后的磁性能参数和织构强度.结果表明:较低的电压、9 Hz、较长的处理时间以及退火温度为650℃有利于增高铁损降低比例;较低的电压、较高的频率以及退火温度为650℃有利于增加磁感应强度增高比例.最佳的提高磁性能的实验参数是:频率为9 Hz,电压为500 V,处理时间为6 min,退火温度为650℃.通过织构分析可以验证:取向硅钢磁感应强度的变化取决于{110}<001>晶粒取向度值,而{110}<001>取向度值可看成是一个反映总体平均偏离角大小情况的综合值. An automatic measurement system for silicon steel and an X-ray diffraction meter were used for measuring the magnetic property parameters and texture of ex-processed samples and processed samples.It is shown that under the condition of a lower voltage,9Hz,a longer processed time and an annealing temperature of 650℃,the decrease rate of iron loss can be increased;a lower voltage,a higher frequency and an annealing temperature of 650℃ are in favor of improving the increase rate of magnetic inducti... 
2011-08-28 129 5.8

【机构】 宝山钢铁股份有限公司规划与科技部; ...
2022-06-28 157 5.8

【作者】 严伟明; ...
2013-09-28 120 5.8

针对不同牌号的无取向硅钢产生结疤缺陷的难易程度和表面结疤缺陷的外形特征及分布规律,分析了该缺陷产生的原因。通过调整剪前导板的对中度,设置精轧侧导板开度余量及短行程数值,及时修补与更换侧导板,减少带坯与侧导板挤撞程度,有效地降低了结疤缺陷发生率。 This article analyses the cause of the scab defects according to the defects appearance characters and distribution law,degree of difficulty to form scar of non-oriented silicon steel. It can effectively decrease the scabs by different methods,such as adjusting the center line of guide plate,setting the opening margin and short stroke value of the side guide on finishing mill,timely repairing and replacing of side guide,decreasing the collision between the strip and side guide. 
2014-03-28 152 5.8

分别采用传统冷轧轧制液和纳米TiO2的冷轧轧制液,对无取向硅钢板进行了四辊冷轧实验.重点研究两种冷轧轧制液的轧制润滑性能和对轧后硅钢薄带表面质量和耐蚀性能的影响.通过场发射电子显微镜和能谱仪对使用两种轧制液轧后得到的硅钢薄带表面形貌和成分进行了分析.给出了轧制液中TiO2纳米粒子在轧制过程中的抗磨减摩机理.在轧制载荷较高时,纳米TiO2轧制液具有优良的轧制润滑性能并能显著改善轧后硅钢薄带的表面质量.同时在高载荷作用下,TiO2纳米粒子被压入硅钢薄带基体,形成一个滑动系来支撑载荷,从而使润滑膜的耐磨性提高. Non-oriented silicon steel strips were rolled on a four-high cold rolling mill lubricated by a traditional cold rolling liquid and a nano-TiO2 cold rolling liquid,with emphasis on studying the rolling lubrication performance of both the liquids and their effect on the surface quality and corrosion resisting property of the silicon steel strips.The surface micrograph and composition of the silicon steel strips after being rolled with both the liquids were characterized by field emissio... 
2013-04-28 138 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... 
2011-09-28 111 5.8

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