Lin Zhiyuan, Shang Hongbin, Gao Hongli, Huang Xinwei
Key Laboratory of Special Equipment Manufacturing, Advanced Processing Technology of the Ministry of Education, Zhejiang University of Technology, Hangzhou 310023, China.
Materials (Basel). 2022 Jul 25;15(15):5150. doi: 10.3390/ma15155150.
Studying the in situ measurement and evolution of the strain field at the crack tip during fatigue crack growth (FCG) is of great significance for understanding the fracture characteristics of materials and predicting fatigue life. Herein, a new method is proposed for the in-situ measurement of the strain field at the fatigue crack tip based on microscopic digital image correlation (DIC). The method proposed solves the problem of the existing in situ strain field measurement method being unable to dynamically track the crack tip and take the crack tip image due to the limitation of the field of view of the microscopic camera. A macroscopic camera is used to capture the global crack images on one side of the compact tension (CT) specimen. Meanwhile, a microscopic camera is used to track and capture the crack propagation speckle image on the other side of the CT specimen. The proposed method was verified by experiments with Quenching and Partitioning 980 (Q&P980) steel, and the results showed that the method has high accuracy, with the average measurement error being less than 5% and the maximum error being less than 10%. A butterfly shape of the measured strain field and the strain concentration near the crack tip were observed. The success of this method will help to obtain better insight into and understanding of the fracture behavior of metal materials as well as precise prediction of the fatigue life of metal materials.
研究疲劳裂纹扩展(FCG)过程中裂纹尖端应变场的原位测量及演化对于理解材料的断裂特性和预测疲劳寿命具有重要意义。在此,提出了一种基于微观数字图像相关(DIC)的疲劳裂纹尖端应变场原位测量新方法。所提出的方法解决了现有原位应变场测量方法由于微观相机视场限制而无法动态跟踪裂纹尖端并获取裂纹尖端图像的问题。使用宏观相机在紧凑拉伸(CT)试样的一侧捕获全局裂纹图像。同时,使用微观相机在CT试样的另一侧跟踪并捕获裂纹扩展散斑图像。用淬火配分980(Q&P980)钢进行实验验证了该方法,结果表明该方法具有较高的精度,平均测量误差小于5%,最大误差小于10%。观察到测量的应变场呈蝶形以及裂纹尖端附近的应变集中。该方法的成功将有助于更好地洞察和理解金属材料的断裂行为以及精确预测金属材料的疲劳寿命。