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http://dx.doi.org/10.9725/kts.2022.38.4.128

A Study on Image Analysis for Determination of Wear Area in Accelerated Durability Test  

Cheon, Min-Woo (Graduate School, Dept. of Construction Machinery Engineering, Inha University)
Lee, Chul-Hee (Dept. of Mechanical Engineering, Inha University)
Publication Information
Tribology and Lubricants / v.38, no.4, 2022 , pp. 128-135 More about this Journal
Abstract
In the product development process, the reliability of the product can be secured through durability tests. However, since the durability test method is expensive and time consuming, a method to save time and money by utilizing virtual product development (VPD) is required. However, research on the accuracy of the results of virtual product development is required. In this paper, an accelerated durability test was designed and conducted using a planetary gear decelerator. And an analysis model under the same conditions was created and simulated. To correlate the results of the experiment with the results of the analytical model, created a model that can discriminate the wear region using one of the data mining methods, the k-means algorithm method and HSV (Hue, Saturation, Value). The wear area is compared by counting the number of pixels defined as wear through a discrimination model. A similar ratio was calculated by comparing the pixel ratio of the area determined as wear in the entire area. It showed a similar ratio of about 70%, and it is necessary to improve the discrimination method.
Keywords
Accelerated durability test; CAE; Wear area; Planetary gear; Virtual product development;
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Times Cited By KSCI : 4  (Citation Analysis)
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