Abstract
The extraction of protruding diamond grains feature from the measured data of grinding wheels is the key to assessing their surface texture and predicting their functional performance. The 3D-motif analysis was utilized to identify the significant features. Based on 6-neighbourhood and wolf pruning, the tiny and insignificant motifs were eliminated and the surface of grinding wheel was segmented into large significant motifs. Four surface samples of #600 diamond grinding wheel were measured by using Alicona Infinite Focus Measuring Instrument and analyzed based on 3D-motif method. As the results shown, the 3D-motif analysis provided an effective method to segment the measured surface into significant features. The experiments also indicated that wolf pruning at 5% produced a proper count of the protruding grains extracted from grinding wheel surface.
Original language | English |
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Pages (from-to) | 73-79 |
Number of pages | 7 |
Journal | Measurement: Journal of the International Measurement Confederation |
Volume | 77 |
Early online date | 8 Sep 2015 |
DOIs | |
Publication status | Published - Jan 2016 |
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Liam Blunt
- Department of Engineering - Professor
- School of Computing and Engineering
- Centre for Precision Technologies - Director
- Secure Societies Institute - Associate Member
Person: Academic