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Vision system for strain measurement in tensile test of boron sheet metal

机译:视觉系统用于硼金属薄板拉伸试验中的应变测量

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摘要

In modern technologies, the automobile industry has an increase demand for lightweight components, improved product performance, efficiency and increase safety. The specific measurement of critical material properties has been done to develop the manufacturing and design of these components. An experimental investigation is conducts to explore the accuracy of strain rate measurement in tensile test using vision system as a new method. Thus, there are three objectives being highlighted in order to solve this problem. The problem to calibrate the strain rate calculation had been created by using MATLAB meanwhile camera. Next, the implementation of image correlation between MATLAB and camera and strain rate of sheet metal was analyze in tensile test. The objectives above was achieved by implementing the vision system to obtained deformation image. Therefore, the strain rate measurements are more accurate by using vision system method. However, the camera calibrator application shows the camera parameter used in this experiment. MATLAB software are new type of implementation to calculate the strain rate when the images were started to deform. In conclusion, vision system is able to provide logical and useful displacement. From the result obtained, the strains value increases with respect to the incensement of waist and width of the specimen.
机译:在现代技术中,汽车工业对轻质部件的需求不断增加,产品性能,效率和安全性也得到了提高。已经完成了关键材料性能的特定测量,以开发这些组件的制造和设计。进行实验研究以探索使用视觉系统作为新方法的拉伸试验中应变率测量的准确性。因此,为了解决这个问题,突出了三个目标。同时使用MATLAB相机产生了校准应变率计算的问题。接下来,在拉伸测试中分析了MATLAB与相机之间的图像关联以及钣金应变率的实现。通过实现视觉系统以获得变形图像来实现上述目的。因此,使用视觉系统方法可以更精确地测量应变率。但是,相机校准器应用程序会显示此实验中使用的相机参数。 MATLAB软件是一种新型的实现方式,可以在图像开始变形时计算应变率。总之,视觉系统能够提供逻辑和有用的位移。根据获得的结果,应变值相对于腰部的香气和样品的宽度增加。

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