Static Modal Analysis Based on Stereo Vision

• Main Authors: Chang, Yen Hao, 張晏暠
• Other Authors: Chang, Jen Yuan
• Format: Others
• Language: en_US
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/26960448007289461694

碩士 === 國立清華大學 === 動力機械工程學系 === 103 === The thesis focuses on the application of computer vision techniques in mechanical engineering. In the contents, the important elements of computer vision are introduced and explained. The stereoscopy is the most robust algorithm that does not have to apply active light sources and has the highest accuracy. Therefore, the study applies the concept of the stereo vision to design a static modal analysis system by reconstructing the geometrical model of specimen. The reconstructed model combined with the known material properties and boundary conditions served as the input to the commercial finite element analysis (FEA) software to compute the numerical solution. The calculated results will be compared with the experimental ones acquired by the measuring instruments. In the study, a system is established to verify the feasibility of the proposed method.