A Novel Approach to Evaluate the Wear Behavior of
CuO Doped Sintered Alumina Ceramics Using Image
Processing Models |
Partha Haldar,a Tapas Kumar Bhattacharyab and Nipu Modakc,*
Pages : 187-194
DOI : 10.1080/0371750X.2023.2223236 |
Abstract |
The present research describes the post wear SEM images of nano-CuO doped alumina
ceramics in the light of three different image processing algorithms, viz. entropy
analysis, Sobel edge detection techniques and entropy filtered image histogram
analysis. The 2 wt% CuO doped sintered alumina has shown the best performance
towards wearing due to maximum bulk density, hardness and fracture toughness.
These materialistic properties are fitted to correlate with the lowest value of entropy
and edge density index at the level of 2 wt% doping. The entropy filtered image histogram
of 2 wt% doping is the closest to the Gaussian Bell shape distribution with the lowest
skewness factor. These three-image computed methods validate their suitability in
developing a real-life implementation for a possible wear resistance estimator.
[Keywords: Alumina, Ceramic engineering, Scanning electron microscopy, Wear / wear
resistance, Image processing] |
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