...
首页> 外文期刊>Materials Characterization >Statistical analysis of EBSD data to predict potential abnormal grain growth in 3.0 wt% Si grain-oriented electrical steel
【24h】

Statistical analysis of EBSD data to predict potential abnormal grain growth in 3.0 wt% Si grain-oriented electrical steel

机译:EBSD数据的统计分析预测3.0wt%Si晶粒电钢的电位异常晶粒增长

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

The role of grain topology as a predictor on abnormal grain growth (AGG) of primary recrystallized silicon steel sheet has been investigated by EBSD technique. Goss oriented grains in the primary recrystallized silicon steel sheet were observed to have larger grain sizes than average matrix grains. The average grain size of grains with the smallest deviation angle (< 1 degrees) from the Goss orientation was around 2.6 times larger than the average grain size of the matrix. Also, as the grain orientation approaches the Goss orientation, it had the higher number of neighboring grains. In this study, eight grains were identified as AGG candidates that have at least three times larger grain sizes than the average grain size, and have orientations close to the Goss orientation, i.e., with < 5 degrees deviation angle from Goss. However, it was not possible to determine which is more likely to happen for the abnormal grain growth among these grains.
机译:通过EBSD技术研究了谷物拓扑作为预测初级重结晶硅钢板异常晶粒生长(AGG)的预测的作用。 观察到初级重结晶硅钢板中的高斯取向晶粒具有比平均基质晶粒更大的晶粒尺寸。 来自高斯方向的最小偏差角(<1度)的晶粒的平均晶粒尺寸约为基质的平均晶粒尺寸的2.6倍。 而且,随着晶粒取向接近高斯方向,它具有较高的邻近谷物。 在该研究中,将八粒颗粒鉴定为颗粒,其具有比平均晶粒尺寸更大三倍的粒度,并且具有靠近高斯取向的取向,即来自高斯的<5°偏差角。 然而,不可能确定这些谷物中异常晶粒生长的可能发生。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号