| 英文摘要
| Digital Image Correlation (DIC) is a non-contact and full-field optical measurement technique for experimental stress analysis. Compared with traditional methods, this experimental technique is relatively simple to set up and can be used in visible light, it has become an increasingly popular approach, in relevant fields of science and technology.
This thesis applies digital image correlation system to the precision measurement of multi-scale and multi-field engineering problems. First, it explores the monitoring of thermal deformation and strain of high-speed spindles in real-time, and indicating the effects of different gauge factors on measurement with sub-pixel precision. Then, using a high frequency record of mechanical system dynamic behavior, the performance of suspension elements and shock absorbers are evaluated by numerical analysis. A third application calculates the displacement, velocity, acceleration and vibration frequency of the robotic arm in a retrieval system. Finally, the method is applied to a video feed from an Unmanned Aerial Vehicle (UAV) to track automobile trajectory in transportation engineering, demonstrating the method’s ability to meet the demands of automatic and multiple-object tracking. The change of correlation coefficient and influence of parameter setting during the subset template rotation are discussed.
The results obtained from DIC method are compared with those acquired from other experimental techniques, including Materials Testing Machine (LLOYD LRX Plus Ametek, USA), Fiber Bragg Grating (FBG) and Polyvinylidene fluoride (PVDF) to assist in analysing deformation process and dynamic behavior, demonstrating the reliability of digital image correlation measurement system. |
