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Article | Open Access

Numerical simulation and optimization of dimethyl carbonate melt crystallization based on computational fluid dynamics

Mingyu Chena,1Jingyu Lia,1Jun QianbYuefeng WubXin XubMingpu YuanaTing Wanga,c,dNa Wanga,c,dXin Huanga,c,d( )Hongxun Haoa,c,d( )
National Engineering Research Center of Industrial Crystallization Technology, School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, China
High-end chemicals and cutting-edge new materials Technology Innovation Center of Hefei, Anhui, 230000, China
Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin, 300072, China
State Key Laboratory of Chemical Engineering, School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, China

1 These authors contributed equally to this work.

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Highlights

• A CFD model was developed for DMC crystallization.

• Natural convection plays a crucial role in shaping the distribution of crystal layers.

• The heating temperatures were optimized to enhance the efficiency of crystallization.

• A general correlation model was established through non-dimensional analysis.

Abstract

Dimethyl carbonate (DMC) is widely used in organic synthesis and lithium battery industries. Melt crystallization, as a green manufacturing method, is highly important for the production of DMC with ultra-high purity. Herein, a two-dimensional transient Computational Fluid Dynamics (CFD) model was developed utilizing the enthalpy-porosity approach to simulate the layer melt crystallization process of DMC. The fluid dynamic and thermodynamic phenomena during the evolution of the crystal layer under various conditions were investigated. The findings suggest that natural convection heat transfer plays a crucial role in determining the distribution of the crystal layer. Moreover, the heating temperatures were optimized based on the specificity of DMC melt layer crystallization to enhance the heat transfer during crystallization. Afterwards, a general correlation model for crystallization time, crystal fraction, and heat transfer rate was established by non-dimensional analysis. The results presented in this work could be used to optimize the melt crystallization process of DMC and to facilitate better understanding of heat and mass transfer during melt crystallization.

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References

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Green Chemical Engineering
Pages 318-326

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Cite this article:
Chen M, Li J, Qian J, et al. Numerical simulation and optimization of dimethyl carbonate melt crystallization based on computational fluid dynamics. Green Chemical Engineering, 2026, 7(3): 318-326. https://doi.org/10.1016/j.gce.2025.01.005

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Received: 12 November 2024
Revised: 24 December 2024
Accepted: 16 January 2025
Published: 23 January 2025
© 2025 Institute of Process Engineering, Chinese Academy of Sciences.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).