Performance prediction of metallurgical coke using image analysis

Performance prediction of metallurgical coke using image analysis

This thesis investigates the thermal behaviour and petrographic characteristics of coke, employing manual point counting (MPC), advanced image analysis (IA), visual reactivity analysis (VRA), and thermogravimetric analysis (TGA) to establish correlations with the Coke Reactivity Index (CRI). The st...

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Bibliographic Details
Main Author: Goonetilleke-Rezel, Teshan
Format: Thesis (University of Nottingham only)
Language:English
Published: 2024
Subjects:
Coke
Metallurgical
Image
Analysis
Thermogravimetric
Steelmaking
Cokemaking
Visual
Reactivity
Petrography
Online Access:https://eprints.nottingham.ac.uk/79804/

Internet

https://eprints.nottingham.ac.uk/79804/

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