The Research and Development of the Automated Images Inspection Machine for the Defects of Cylinder Surface Wall

• Main Authors: Jia-Rong Tsai, 蔡佳融
• Other Authors: 鄭芳松
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/9w3ghc

碩士 === 國立虎尾科技大學 === 機械與電腦輔助工程系碩士班 === 104 === The automated optical inspection plays a key role in rapid inspection, can replace manual inspection and reduce production costs, to achieve high-speed and high-precision inspection, thus greatly improve production quality and capacity. In this study, the integration of mechanical and electrical systems, Inspection systems and image-taking software, the cylinder wall surface of defects to establish a set of automated optical inspection systems. In this paper, the product is to be inspection mower engine cylinder wall, its cylinder wall are during processing will produce some defective products. The research and development of the automated inspection for the defects of cylinder wall surface is to use a webcam is based on the laterally bevel angle method to capture image of cylinder top half wall, and use CCD and borescope probes be controlled by introducing into the cavity of lower half wall to capture image, to do machine vision inspection defect. The use programmable logic controller (PLC) as the machine''s automation module and NI Vision Builder AI for the image processing and inspection modules, integrate them, achieve automated images inspection machine purposes. Finally, depending on the method of identification of defects appearance, environmental conditions and image processing. This system for product in an automated inspection method can be completed in the experimental validation phase with more than identify the six kinds of defects, and Average time of about 12 seconds to detect a complete sample, to meet production demand for this product line.