硅钢资料

【作者】 凌健； ...

本文介绍了无取向硅钢C6涂液的性能,研究了配水量、固化程度和涂层厚度等因素对无取向硅钢C6涂层性能的影响。结果表明,随着配水量的增加,完全固化所需的时间增加,涂液固体含量降低,涂层厚度减小;随着固化程度的提高,涂层硬度先增大然后趋于恒定,而柔韧性逐渐变差,在过固化后急剧恶化;涂层厚度对涂层的表面外观、附着性和绝缘层间电阻均有显著影响。 Based on the introduction about the performance of C6 varnish for non-oriented silicon steel sheets,effects of water amount,curing degree and coating thickness are discussed. Results show that with the increase of water amount,the time required to cure completely extends,and both the solid content of C6 varnish and the coating thickness decrease. As the curing degree increases,the hardness of the coating increases first and then tends to be constant,however the flexibility degenerates,especially... 

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... 

磁性能指标是硅钢产品最关键的质量指标之一，但是目前磁性能判定100%依赖于样品的离线实验室检测结果，生产线配置的在线检测仪的测量结果由于精度问题，不宜直接用于成品牌号判级。本文在现有硅钢产品质量管控体系基础上，利用大数据技术对生产数据进行分析与建模，构建不同磁性能指标在线检测模型，并在现有信息系统上完成模型库的集成部署，实现硅钢产品全长、多指标磁性能结果的拟合数据输出，支撑取样优化、精准分切、辅助综合判定等功能应用，进一步优化硅钢产品质量管控体系。 The magnetic performance index of silicon steel products is one of the most critical quality indexes.However,at present,100%determination of magnetic performance depends on the offline laboratory test results of samples,and the measurement results of the online detector configured in the production line cannot be applied in practice due to the accuracy problem.Based on the existing quality control system of silicon steel products,big data technology was used to analyze and model the production d...