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Testing System for the Mechanical Properties of Small-Scale Specimens Based on 3D Microscopic Digital Image Correlation

机译:基于3D微观数字图像相关性的小尺寸试样力学性能测试系统

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摘要

The testing of the mechanical properties of materials on a small scale is difficult because of the small specimen size and the difficulty of measuring the full-field strain. To tackle this problem, a testing system for investigating the mechanical properties of small-scale specimens based on the three-dimensional (3D) microscopic digital image correlation (DIC) combined with a micro tensile machine is proposed. Firstly, the testing system is described in detail, including the design of the micro tensile machine and the 3D microscopic DIC method. Then, the effects of different shape functions on the matching accuracy obtained by the inverse compositional Gauss–Newton (IC-GN) algorithm are investigated and the numerical experiment results verify that the error due to under matched shape functions is far larger than that of overmatched shape functions. The reprojection error is shown to be smaller than before when employing the modified iteratively weighted radial alignment constraint method. Both displacement and uniaxial measurements were performed to demonstrate the 3D microscopic DIC method and the testing system built. The experimental results confirm that the testing system built can accurately measure the full-field strain and mechanical properties of small-scale specimens.
机译:由于样品尺寸小和难以测量全场应变,因此很难在小范围内测试材料的机械性能。为了解决这个问题,提出了一种基于三维(3D)微观数字图像相关性(DIC)结合微拉伸机研究小型试样力学性能的测试系统。首先,详细描述了测试系统,包括微拉伸机的设计和3D微观DIC方法。然后,研究了不同形状函数对逆成分高斯-牛顿算法(IC-GN)获得的匹配精度的影响,数值实验结果验证了形状函数不匹配引起的误差远大于过匹配的形状函数形状函数。当使用改进的迭代加权径向对齐约束方法时,重投影误差显示为小于以前。进行了位移和单轴测量,以证明3D微观DIC方法和测试系统的建立。实验结果证明,所建立的测试系统可以准确地测量小尺寸试样的全场应变和力学性能。

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