Abstract
Nowadays, the deformation measurement in metal sheets is important for industries such as the automotive and aerospace industries during its mechanical stamping processes. In this sense, Digital Image Correlation (DIC) has become the most relevant measurement technique in the field of experimental mechanics. This is mainly due to its versatility and low-cost compared with other techniques. However, traditionally, DIC global image registration implemented in software, such as MATLAB 2018, did not find the complete perspective transformation needed successfully and with high precision, because those algorithms use an image registration of the type “afine” or “similarity”, based on a 2D information. Therefore, in this paper, a DIC initialization method is presented to estimate the surface deformation of metal sheets used in the bodywork automotive industry. The method starts with the 3D points reconstruction from a stereoscopic digital camera system. Due to the problem complexity, it is first proposed that the user indicates four points, belonging to reference marks of a “Circle grid”. Following this, an automatic search is performed among the nearby marks, as far as one desires to reconstruct it. After this, the local DIC is used to verify that those are the correct marks. The results show reliability by reason of the high coincidence of marks in experimental cases. We also consider that the quality of mark stamping, lighting, and the initial conditions also contribute to trustworthy effects.
Highlights
The quality control of mechanical stamping is a need in modern industries
The Digital Image Correlation (DIC) method is a state-of-the-art technique that can be used for an accurate strain measurement of material properties [3]
The results of a typical initialization of the DIC are displayed in Figure 6 to show an initialization comparison
Summary
The quality control of mechanical stamping is a need in modern industries. Engineers are always looking to improve the mechanical work optimization. In the mechanical industry of metal-sheets manufacture, it is necessary to know their mechanical properties to use them in the most suitable way [1,2]. In this industry, the material properties such as Young’s modulus, Poisson’s ratio, anisotropic plastic ratio parameters and others are required for improving the design and manufacture processes by finite element analyses. The Digital Image Correlation (DIC) method is a state-of-the-art technique that can be used for an accurate strain measurement of material properties [3]. DIC has become a very popular technique in mechanics, for measurement materials deformation without contact
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