Application of the Hough Transform for Automated Analysis of Kolsky Bar Data
Application of the Hough Transform for Automated Analysis of Kolsky Bar Data
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DOI：
10.1007/s40799-021-00458-0
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发表时间：
2021-04
影响因子：
1.6
通讯作者：
Soudabeh Salehi;W. Gilliland;O. Kingstedt
中科院分区：
文献类型：
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作者：
Soudabeh Salehi;W. Gilliland;O. Kingstedt
Kolsky Bar，也被称为分离式霍普金森压杆，已经成为研究材料动态行为时最常用的仪器之一。尽管它很受欢迎，但在设计、数据收集和数据分析方法方面存在有限的标准。缺乏标准化可能导致标称相同材料的报告动态行为在实验室之间存在差异。在数据简化过程中的一个关键步骤是适当选择用于记录的应变计信号的一维波传播分析的信号窗口。提出的工作提供了一个自动分析方法，选择信号窗口的基础上Hough变换。该方法对于加载模式是不可知的（例如，张力对压缩），适用于脉冲成形和非脉冲成形实验，在存在自然发生的信号振荡和噪声的情况下是鲁棒的，并且具有快速的计算时间。选择两种情况下，以证明应用霍夫变换的可行性记录柯尔斯基酒吧信号。在第一种情况下，确定了马氏体时效钢拉伸和压缩Kolsky杆的杆波速度。第二个案例展示了Hough变换技术在增材制造Inconel 718动态压缩行为研究中的应用。使用自动HT为基础的技术产生的应力-应变曲线进行比较，手动确定的自动化方法提供了一个密切匹配的结果。窗口选择自动化为提高报告结果的一致性、数据处理吞吐量和动态力学性能数据生成的可追溯性迈出了重要的一步。
The Kolsky Bar, also known as the split-Hopkinson pressure bar, has become one of the most commonly used apparatuses when studying the dynamic behavior of materials. Despite its popularity, limited standards exists with respect to the design, data collection, and data analysis approach used. A lack of standardization can lead to lab-to-lab variation in reported dynamic behavior for nominally identical materials. A key step during data reduction is the appropriate selection of the signal windows used in the one-dimensional wave propagation analysis of recorded strain gauge signals. The presented work provides an automated analysis approach for selecting signal windows based on the Hough transform. The approach is agnostic to loading mode (e.g., tension vs. compression), applicable to both pulse-shaped and non-pulse shaped experiments, robust in the presence of naturally occurring signal oscillations and noise, and has rapid computation time. Two cases are selected to demonstrate the viability of applying the Hough transform to recorded Kolsky bar signals. In the first case, the bar wave speeds of maraging steel tension and compression Kolsky bars are determined. The second case demonstrates the application of the Hough transform technique in the study of the dynamic compression behavior of additively manufactured Inconel 718. A stress-strain curve generated using the automated HT-based technique is compared to those determined manually showing the automated approach provides a closely matching result. Window selection automation provides an important step toward improving consistency of results reported, data processing throughput, and traceability of dynamic mechanical property data generation.