An image processing system for wear inspection of a micro-mill for milling brass

• Main Authors: Yueh-lung Tsai, 蔡岳龍
• Other Authors: Fang-Jung Shiou
• Format: Others
• Language: zh-TW
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/42541093721994946425

碩士 === 國立臺灣科技大學 === 機械工程系 === 97 === The objective of this research is to determine the optimal combination of micro-milling parameters for milling brass using Taguchi’s experimental method, so that the surface roughness is minimal. An image processing measurement system used to measure of flank wear area of a micro-mill with diameters of 0.5 mm has also been developed by integrating a CCD camera with a toolmaker microscope and a PC. The design and manufacture of a micro-mill holder was first accomplished in this study. By controlling adequately the illumination of the toolmaker microscope using the coaxial lighting device, a good flank image of a micro-mill was obtained, which was clamped in the micro-mill holder and adjusted to horizontal position. An image processing software, written with Labview language, was also developed to carry out the image preprocessing, such as filtering, moment-preserving method, calculation of the wear area, etc. Based on the Taguchi’s L9 matrix experimental results, the analysis of variation (ANOVA), the optimal micro-milling parameters on milling the brass are the combination of the stepover of 0.015 mm, spindle speed of 60,000 rpm, feed of 200 mm/min,and depth of cut of 0.036 mm. Applying the optimal micro-milling parameters to mill the brass under constant material removal rate, a tool wear curve of a micro-mill was constructed by measuring the wear area of the micro-mill using the developed image processing measurement system.