论文

【摘要】 <正>为了确保电工钢的产品质量,在生产线...

【作者】 潘恒韬； 欧阳帆； ...

Fe-6.5%Si高硅钢是一种具有高磁导率、低矫顽力和低铁损等优异软磁性能的合金,但是其室温脆性和低的热加工性能严重影响了其在工业领域的应用。综述了Fe-6.5%Si高硅钢的性能,评述了合金的改性法、特殊轧制法、快速凝固法、沉积扩散法、粉末冶金法等制备工艺。 It is well known that 6.5%Si high silicon steel is one kind of soft magnetic materials with higher re-lative permeability,lower coercive force and iron loss than those of conventional industrial silicon steel.However,their room-temperature embrittleness and poor workability limit their practical applications in the industry.The pre-paration technique such as modification treatment on alloy,special rolling,rapid solidification,CVD and powder me-tallurgy is reviewed. 

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... 

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... 

为了确定普通冷轧取向硅钢最优的中间完全脱碳退火工艺,在其一次冷轧后进行5种不同工艺的脱碳退火处理,借助扫描电镜及电子背散射衍射技术研究了不同工艺脱碳退火后的组织、织构和脱碳效果。结果表明:经5种工艺脱碳退火处理后,初次再结晶的平均晶粒尺寸均约为19μm,且不随退火温度和时间的变化而变化;经840℃×10min工艺退火后的晶粒最均匀,高斯织构位向更准确,高斯织构面积分数最多,为3.1%,可将碳脱至0.003 5%。 In order to determine the optimal intermediate complete decarburizing annealing processes for common grain-oriented(CGO)silicon steel,five kinds of intermediate decarburizing annealing processes were conducted,the microstructure,texture and decarbonization after different decarburizing annealing processes were studied by scanning electron microscopy and electro back-scattered diffraction(EBSD)technology.The results show that the average grains sizes of primary recrystallization were about 19μm a... 

通过制备磷酸二氢铝硅钢涂层,研究了氧化锌对无铬涂层耐盐雾性能、电化学性能和附着性的影响。结果表明,硅钢表面涂层含有4.0%的氧化锌时,涂层具有最高的耐腐蚀性能和电化学性能,而且其致密表面最为平整,没有裂纹出现。 The effects of ZnO on the salt spray resistance property, electrochemical performance and adhesiveness of silicon steel insulating coating were studied. The results show that the best corrosion resistance and electrochemical properties can be obtained when the coating contains 4.0% oxide zinc, and the dense surface is smooth without cracks. 

【作者】 谌剑； ...

分析了冲裁硅钢芯片时出现的质量问题,针对影响硅钢芯片冲裁质量的4大因素——人、原材料状态、工艺和工装进行了工艺试验和分析,根据原材料状态的差异,采用不同工艺方案,特别是如何合理选择冲裁模具间隙,解决了硅钢芯片冲裁时产生的主要质量问题,使冲裁的硅钢芯片达到最佳质量状态,并满足硅钢芯片的使用性能。 The problems occurred during silicon steel chip punching and the factors that affect the quality of silicon steel chip punching were analyzed,the factors include 4aspects,that is,people,raw material status,process and frock,at the same time,process tests and analysis aimed at the factors that affect punching quality were did,according to the difference of raw material status,corresponding process schedules wee taken,especially in how to reasonably select punching dies clearance,which solved the ... 

利用DSC、XRD,结合热焓分析对硅钢级氧化镁和二氧化硅的固相反应行为进行了研究。比较了不同二氧化硅原料及混合方法对硅钢级氧化镁反应性的影响,找到了一种更为有效的硅钢级氧化镁反应性的评估方法,克服了传统柠檬酸活性法在比较不同厂家生产的氧化镁的反应性上的局限性。进一步研究了Na₂B₄O₇添加剂、TiO₂添加剂对氧化镁和二氧化硅反应行为的影响,结果表明,Na₂B₄O₇添加剂含量的增加对反应有利,而TiO₂添加剂对反应有阻碍作用。 The solid-state reaction behavior between silicon-steel grade MgO and SiO₂ was investigated by DSC and XRD combined with enthalpimetric analysis.The influence of different kinds of SiO₂ and different preparation methods were studied and a specifical measurement that is more reliable was proposed to evaluate reactivity of silicon steel grade MgO.It overcomes the limitation of the traditional citric acid activity（CAA） method,which can not be used to evaluate the reactivity of... 

为了解决目前冷轧产线硅钢现有切边技术存在的微裂纹、应力、毛刺和边浪等问题,采用光纤激光器进行了高速切割实验,对激光功率、切割速度、激光模式等影响因素进行了分析,同时对高速切割时的切割前沿形状进行了研究。结果表明,切割最高速度随着功率的增加而增加;随着离焦量的增加,切割质量下降,挂渣增多,切缝宽度增加,切割深度变浅;基模激光器能量密度更高,所以薄板切割时的切割速度高于多模激光器;切割前沿随着切割速度的增加会变得平缓,速度足够大时,切割前沿甚至接近与切割方向平行,此时切缝下部存在挂渣现象。 In order to solve the problems such as micro crack,stress,burr,edge waves and so on,existing in cold rolling production line of silicon steel side cutting,experimentsof high speed laser cutting using fiber laser were carried out.Laser power,cutting speed,laser mode and other factors were analyzed,at the same time,cutting front geometries were studied.The results show that the maximum speed increases with power.And the increases of defocus result in poor quality,wider kerf and shallowerkerf.Energ... 

研究了退火温度和退火时间对电沉积硅钢试样中的断面层组织、硅在试样中的分布情况、织构分布和磁性能的影响。结果表明:退火温度为1000℃、退火时间为210 min时得到的试样晶粒分布均匀、硅在试样中分布均匀、硅平均浓度为6.3715%(接近6.5%)。试样的织构分析及磁性能检测的结果表明,在较高温度下延长退火时间可增加{100}和{110}面织构,降低铁损,所得试样的磁性能较为良好。 The effect of annealing temperature and time on the microstructure, distribution of silicon,texture and magnetism of the high silicon steel prepared by electrodeposition was investigated. The results showed that after annealing at 1000℃ for 210 min, the mean grain size of steel was about 190 μm with a uniform grain size distribution, and the silicon is also uniformly distributed on the entire cross section with an average Si concentration 6.3715%(close to 6.5%); With the increasing annealing tim...