• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Materials Engineering and Performance >Integrating GLL-Weibull Distribution Within a Bayesian Framework for Life Prediction of Shape Memory Alloy Spring Undergoing Thermo-mechanical Fatigue
【24h】

Integrating GLL-Weibull Distribution Within a Bayesian Framework for Life Prediction of Shape Memory Alloy Spring Undergoing Thermo-mechanical Fatigue

机译：将GLL-WEIBULL分布集成在贝叶斯骨架寿命预测中，为造型记忆合金弹簧进行热机械疲劳的寿命预测

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The present paper tackles an important but unmapped problem of the reliability estimations of smart materials. First, an experimental setup is developed for accelerated life testing of the shape memory alloy (SMA) springs. Generalized log-linear Weibull (GLL-Weibull) distribution-based novel approach is then developed for SMA spring life estimation. Applied stimulus (voltage), elongation and cycles of operation are used as inputs for the life prediction model. The values of the parameter coefficients of the model provide better interpretability compared to artificial intelligence based life prediction approaches. In addition, the model also considers the effect of operating conditions, making it generic for a range of the operating conditions. Moreover, a Bayesian framework is used to continuously update the prediction with the actual degradation value of the springs, thereby reducing the uncertainty in the data and improving the prediction accuracy. In addition, the deterioration of material with number of cycles is also investigated using thermogravimetric analysis and scanning electron microscopy.
机译：本文解决了智能材料可靠性估计的重要而未拍摄的问题。首先，开发了一种实验装置，用于加速形状记忆合金（SMA）弹簧的寿命测试。然后为SMA Spring寿命估算开发了广义的逻辑线性Wibull（GLL-Weibull）分布的新方法。应用刺激（电压），伸长率和操作循环用作寿命预测模型的输入。与基于人工智能的寿命预测方法相比，模型的参数系数的值提供了更好的解释性。此外，该模型还考虑了操作条件的效果，使其在一系列操作条件范围内。此外，贝叶斯框架用于连续更新与弹簧的实际劣化值的预测，从而降低数据中的不确定性并提高预测精度。此外，还使用热重分析和扫描电子显微镜研究了具有循环数量的材料的劣化。

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