The purpose of this paper is to achieve efficient detection and prediction of delamination failure of stretchable interconnects by using digital image correlation (DIC) methods. In order to achieve this goal, a visual experiment system and a delamination failure detection and prediction method are designed, and the mechanical characteristics of two-dimensional horseshoe-shaped interconnect are experimentally studied. Firstly, the evolution law of von Mises strain on the surface of the sample was analyzed, and then the time and location of the failure were determined by measuring and calculating the strain at the failure site, and the site that was about to fail was predicted based on this criterion. The experimental results show that von Mises strain field has a distribution feature closely related to the two-dimensional horseshoe geometry, and the boundaries of each strain region are obvious. When a 2 μm layer thickness sample was stretched 3.2 mm at 50 °C, the sample delaminates at 60 pixels on the horizontal reference line, based on the 0.0187 strain difference at the failure point, the location where the failure is about to occur is successfully predicted.

本文的目的是通过使用数字图像相关（DIC）方法来实现对可拉伸互连的脱层故障的有效检测和预测。为了实现这一目标，设计了视觉实验系统和分层失效检测与预测方法，并对二维​​马蹄形互连的力学特性进行了实验研究。首先，分析了样品表面von Mises应变的演变规律，然后通过测量和计算失效部位的应变来确定失效的时间和位置，并预测了即将失效的部位基于此标准。实验结果表明，冯·米塞斯应变场具有与二维马蹄形几何形状密切相关的分布特征，并且每个应变区域的边界都很明显。在50°C下将2μm层厚度的样品拉伸3.2 mm时，基于失效点的0.0187应变差，该样品在水平参考线上以60像素分层，成功地发生了失效预料到的。