Performance prediction of metallurgical coke using image
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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/

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