Automated image analysis techniques to characterise pulverised coal particles and predict combustion char morphology
A new automated image analysis system that analyses individual coal particles to predict daughter char morphology is presented. 12 different coals were milled to 75–106 µm, segmented from large mosaic images and the proportions of the different petrographic features were obtained from reflectance hi...
| Main Authors: | Perkins, Joseph, Williams, Orla, Wu, Tao, Lester, Edward |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier Ltd
2020
|
| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/60135/ |
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