首页> 外文期刊>Journal of testing and evaluation >A Novel Method to Determine Material Properties and Residual Stresses Simultaneously Using Spherical Indentation
【24h】

A Novel Method to Determine Material Properties and Residual Stresses Simultaneously Using Spherical Indentation

机译:球形压痕同时确定材料特性和残余应力的新方法

获取原文
获取原文并翻译 | 示例
       

摘要

Spherical indentation is one of the non-destructive techniques that has gained great interest among researchers in recent years. Spherical indentation is inexpensive and quick and can provide a fairly accurate estimation of in-plane residual stresses. This method has typically been used to characterize material properties. However, the application of the technique to measure residual stresses has also been practiced. In this paper, the parameters of Hollomon's equation and residual stresses were determined using the load-penetration (P-h) curve technique obtained from a single loading-unloading spherical indentation test. Artificial Neural Networks (ANN) were employed to achieve the best results from the data. Neural networks are trained using the data from a series of finite element analyses. An exponential equation is then fitted to the loading curve. Having the fitted equation and the trained neural networks, the residual stresses and the material characteristics were found simultaneously. An important benefit of this method was that it could be used with no requirement for a reference stress-free sample.
机译:球形压痕是近年来在研究人员中引起极大兴趣的一种非破坏性技术。球形压痕便宜且快速,并且可以提供平面内残余应力的相当准确的估计。该方法通常已用于表征材料特性。但是,也已经实践了该技术用于测量残余应力的应用。在本文中,使用通过单次加载-卸载球面压痕试验获得的载荷-穿透(P-h)曲线技术确定Hollomon方程的参数和残余应力。人工神经网络(ANN)被用来从数据中获得最佳结果。使用来自一系列有限元分析的数据来训练神经网络。然后将指数方程拟合到加载曲线。通过拟合方程和训练好的神经网络,可以同时发现残余应力和材料特性。该方法的一个重要好处是无需参考无应力样品即可使用。

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