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Updated: Jul 24, 2025
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Two-way Valorization of Blast Furnace Slag: Synthesis of Precipitated Calcium Carbonate and Zeolitic Heavy Metal Adsorbent
Published on: February 21, 2017
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Computational Modeling of Magnesium Hydroxide Precipitation and Kinetics Parameters Identification
Antonello Raponi1, Salvatore Romano2, Giuseppe Battaglia2
1Department of Applied Science and Technology, Institute of Chemical Engineering-Politecnico di Torino, Torino 10129, Italy.
Crystal Growth & Design
|July 10, 2023
Summary
This study developed a computational model for magnesium hydroxide precipitation from brines. The model, validated with experimental data, aids in designing industrial precipitation processes for this critical raw material.
Area of Science:
- Chemical Engineering
- Materials Science
- Computational Modeling
Background:
- Magnesium recovery as magnesium hydroxide (Mg(OH)2) from saltwork brines is crucial.
- Effective process design requires a computational model integrating fluid dynamics, nucleation, growth, and aggregation.
Purpose of the Study:
- To develop and validate a computational model for Mg(OH)2 precipitation.
- To infer and validate unknown kinetics parameters using experimental data.
Main Methods:
- Utilized computational fluid dynamics (CFD) with the k-ε turbulence model in OpenFOAM.
- Employed a plug flow reactor model informed by CFD, incorporating Bromley's activity coefficient correction and a micro-mixing model.
- Solved population balance equations using the quadrature method of moments and global constrained optimization for parameter identification.
Main Results:
- Successfully inferred and validated kinetics parameters for Mg(OH)2 precipitation.
- Model predictions of particle size distribution (PSD) matched experimental data across different mixers (T2mm and T3mm).
Conclusions:
- The developed computational model, with validated kinetics, is suitable for industrial Mg(OH)2 precipitation design.
- This work provides essential parameters for scaling up Mg(OH)2 recovery from brines.
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