Influence of Controlled Cooling Rates on Clinker Microstructure and Phase Evolution with Machine Learning-Based Compressive Strength Prediction
The effect of cooling rate on Portland cement clinker was studied using six regimes (2-100 C/min) after sintering at 1450 C.X-ray diffraction rietveld refinement and optical analyses revealed that slow cooling stabilized monoclinic-C 3 S and -C 2 S, while rapid quenching produced triclinic-C 3 S and -C 2 S, thereby reducing reactivity.A random forest model was used to predict compressive strength (R 2 = 0.92) based on phase and microstructure data.Moderate cooling (20-50 C/min) resulted in optimal strength and phase stability.The results indicate that controlled cooling governs clinker reactivity and data driven modeling enables reliable prediction of mechanical performance for sustainable, high-efficiency cement production.
Authors
- Yong-Sik Chu (ORCID: https://orcid.org/0000-0002-1023-528X)
- Bilguun Mend
- Youngjun Lee
Institutions
- Korea Institute of Ceramic Engineering and Technology (KR)
Publication Details
- Journal
- Resources Recycling
- Published
- 2025-12-31
- DOI
- https://doi.org/10.7844/kirr.2025.34.6.48
- Citations
- 1
- Primary Topic
- Machine Learning in Materials Science
- Type
- article
- Field-Weighted Citation Impact
- 0.52
Funders
- Ministry of Trade, Industry and Energy