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An improved torsion pendulum based on image processing for single fibers

机译:基于单纤维图像处理的改进扭摆

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摘要

An improved torsion pendulum technique based on image processing is developed, which allows the measurement of the torsional oscillation of individual fibers. The torsion pendulum is composed of a length of fiber specimen and a ring-shaped mass attached to one of its ends. The oscillation motion of the mass is recorded with a video camera overhead. An image processing method is developed to accurately calculate the twist angle of single fibers in the torsion pendulum. All images are firstly converted into matrices and then the edge detection is applied to calculate the twist angle at corresponding time to obtain the angle-time relation. The oscillation frequency is determined by the fast Fourier transform (FFT) method. By applying this technique, we have performed tests on four types of fibers, namely T300 carbon fiber, copper, silver and tungsten wires. The longitudinal shear modulus measured for each type of these fibers is presented.
机译:开发了基于图像处理的改进的扭摆技术,该技术可以测量单个纤维的扭振。扭摆由一段纤维样本和一个附着在其一端之一的环形块组成。质量的振荡运动在摄像机的头顶上记录下来。开发了一种图像处理方法来准确计算扭摆中单纤维的扭曲角。首先将所有图像转换为矩阵,然后通过边缘检测在相应的时间计算扭曲角以获得角度-时间关系。振荡频率通过快速傅里叶变换(FFT)方法确定。通过应用该技术,我们对四种类型的纤维(T300碳纤维,铜,银和钨丝)进行了测试。给出了每种纤维的纵向剪切模量。

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