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.

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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

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article

Influence of Controlled Cooling Rates on Clinker Microstructure and Phase Evolution with Machine Learning-Based Compressive Strength Prediction

Yong-Sik Chu, Bilguun Mend, Youngjun Lee
1 citations
Resources Recycling
Machine Learning in Materials Science
0.52
article

Influence of Controlled Cooling Rates on Clinker Microstructure and Phase Evolution with Machine Learning-Based Compressive Strength Prediction

Yong-Sik Chu, Bilguun Mend, Youngjun Lee
article en
1 citations

Abstract

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.

Resources RecyclingVol. 34(6)
Korea Institute of Ceramic Engineering and Technology (KR)
Ministry of Trade, Industry and Energy
Affordable and clean energy
Openalex Percentile: Top 29%
Machine Learning in Materials Science
0.52
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