首页> 外文期刊>Research in nondestructive evaluation: a journal of the American Society for Nondestructive Testing >Nondestructive Characterization of Microstructure and Mechanical Properties of Heat Treated H13 Tool Steel Using Magnetic Hysteresis Loop Methodology
【24h】

Nondestructive Characterization of Microstructure and Mechanical Properties of Heat Treated H13 Tool Steel Using Magnetic Hysteresis Loop Methodology

机译:使用磁滞回路方法的热处理H13工具钢微观结构和力学性能的无损表征

获取原文
获取原文并翻译 | 示例
       

摘要

The aim in this article is to evaluate microstructural changes, hardness variations, and wear behavior of H13 hot work tool steel as a function of austenitizing and tempering temperature using nondestructive magnetic hysteresis loop method. To obtain different microstructural characteristics in the H13 specimens, austenitizing and tempering temperatures were varied in the range of 1,050-1,100 degrees C and 200-650 degrees C, respectively. The microstructural features, hardness, and wear loss were characterized using X-ray diffraction/metallographic examinations, hardness measurements, and a pin-on-disk wear tester, respectively. The relations between features obtained from the conventional methods and parameters extracted from the magnetic hysteresis loops were established. Results demonstrate that the proposed nondestructive method is able to assess the wear behavior of the heat treated H13 tool steels. Besides, a standard Generalized Regression Neural Network (GRNN) was trained with a training dataset and then used to estimate the hardness of a given sample with its measured values of magnetic parameters. Experimental results indicate that, if the training dataset has sufficient samples, the proposed method will have a very high accuracy to estimate hardness of the sample, nondestructively.
机译:本文的目的是评估H13热工床钢的微观结构变化,硬度变化和磨损行为作为使用非破坏性磁滞回路法的奥氏体化和回火温度的函数。为了在H13试样中获得不同的微观结构特性,分别为1,050-1,100℃和200-650℃的奥氏体化和回火温度。使用X射线衍射/金相检查,硬度测量和引脚磨损测试仪分别表征了微观结构特征,硬度和磨损。建立了从磁滞回路中提取的传统方法和参数获得的特征之间的关系。结果表明,所提出的非破坏性方法能够评估热处理H13刀具钢的磨损行为。此外,用训练数据集接受了标准的广义回归神经网络(GRNN),然后用来利用其测量的磁参数值来估计给定样品的硬度。实验结果表明,如果训练数据集具有足够的样品,则该方法将具有非常高的精度来估计样品的硬度,无损。

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