Use Machine Vision to Detect the Burrs and Defects of Casting Part

• Main Authors: Wen-Jean Lu, 盧文鈞
• Other Authors: Dr.Du-Ming Tsai
• Format: Others
• Language: zh-TW
• Online Access: http://ndltd.ncl.edu.tw/handle/66996557393501887626

碩士 === 元智大學 === 工業工程研究所 === 81 === Burrs(excess material) are usually squeezed out around the periphery of the mold. Poor control of foundry process may result in a casting with a peripheral breakdown. Those excess of unwanted metal and peripheral defects are irregular and vary considerably from casting to casting. This research aims at the development of a machine vision process for automatic detection of burrs and peripheral crumble of a casting. The non-contact detection result can be used for automatic visual inspection of casting's peripheral shape. And the detected form and location of burrs can be further applied to automatic deburring system. This research concentrates on two-dimensional flat casting, which can be represented by a smooth, closed curve. Special feature points such as interior holes of a casting are not required to carry out the recognition process.