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http://dx.doi.org/10.9725/kstle.2007.23.6.301

A Study on the Optimum Image Capture of Wear Particle for Condition Monitoring of Machine  

Cho, Yon-Sang (Dept. of Mechanical Engineering, DongA University)
Park, Heung-Sik (Dept. of Mechanical Engineering, DongA University)
Publication Information
Tribology and Lubricants / v.23, no.6, 2007 , pp. 301-305 More about this Journal
Abstract
The wear particle analysis has been known as very effective method to foreknow and decide a moving situation and a damage of machine parts by using the digital computer image processing. But it was not laid down and trusted to calculate shape parameters of wear particle and wear volume. In order to apply image processing method in the foreknowledge and decision of lubricated condition, it needs to verify the reliability of the calculated data by the image processing and to lay down the number of images and the amount of wear particle in one image. In this study, the lubricated friction experiment was carried out in order to establish the optimum image capture with the SM45C specimen under experiment condition. The wear particle data were calculated differently according to the number of image and the amount of wear particle in one image.
Keywords
wear particle; shape parameter; image processing; condition monitoring;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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