Mechanistic insights into the evolution of microscopic molecular structures of bituminous coal and lignite during carbonization: a ReaxFF molecular dynamics study
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引用次数: 0
Abstract
Context
The development of the carbon network in coal during carbonization significantly affects the quality of the resulting coke. A detailed understanding of the atomic-scale mechanisms governing coal carbonization is crucial for optimizing the coking process. This research employed ReaxFF molecular dynamics simulations to examine the carbonization processes of two coal types: bituminous coal and lignite. During carbonization, large molecular clusters produced by pyrolysis undergo cross-linking through carbon–carbon bonds, forming a carbon network that expands outward. The carbonization effects of the two coal molecular models were compared, showing that the carbonization process of bituminous coal was more stable, yielding better results. Additionally, based on the observed expansion of the carbon network within coal molecules during the simulation, the growth mechanism of the carbon network was outlined. This research provides theoretical insights into the atomic-scale carbonization mechanisms of coal molecules and their application in the coking process, offering valuable references for advancing coking production technology.
Methods
Molecular dynamics simulations are conducted using the LAMMPS (Large-Scale Atomic/Molecular Massively Parallel Simulator), employing a reactive force field (ReaxFF). The modeling process incorporates a cyclic annealing method for structural relaxation of the molecules. The simulation is carried out in stages, with a temperature increment of 100 K per step. OVITO post-processing software is utilized to remove gas molecules from the system. During the post-processing phase, OVITO is used to visualize and analyze the carbonization process, investigating the evolution of coal molecular products and assessing the effectiveness of the carbonization.
期刊介绍:
The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling.
Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry.
Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.