Zengzhi He, Chongpeng Du, Jun Yu, Siyi Jing, Zonggang Du, Lichuan Gao, Chong Wang, Jiaxi Lei, Yonghong Zhu, Louwei Cui, Wei Han, Dong Li
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引用次数: 0
Abstract
Context
As a substitute for traditional petroleum derived jet fuels, water in coal-based hydrocarbon fuels may precipitate into ice at low temperatures, leading to fuel system failures and endangering flight safety. This study employed Karl Fischer titration in conjunction with an optimized combination of an oil moisture detector to jointly measure the water solubility of coal-based hydrocarbon fuels at room temperature. The coefficient correction was performed on the oil moisture detector, and the water solubility curves of coal-based hydrocarbon fuels 233 to 313 K were finally measured and compared with other literature results. Due to the extremely low water content in actual fuel and the uneven distribution of water in the fuel, this study mainly considers the water enrichment zone in the fuel.
Methods
Materials Studio 2019 software was utilized to simulate a representative molecular model of coal-based hydrocarbon fuel and a molecular model of water. The positions and charges of the atoms were set and tested, with the COMPASS force field selected to describe interatomic interactions. This force field is the first de novo computing field capable of accurately predicting interactions between various molecules and polymers. Geometry optimization was performed in the Forcite module, and the Construction tool in the Amorphous Cell Tools module was used to construct a coal-based hydrocarbon fuel system. The two models consisted of 3674 and 3671 atoms, respectively, with initial dimensions of 33.2 × 33.2 × 33.2 Å, the boundary conditions are periodic boundary conditions, the energy of the two models is minimized, the conjugate gradient method is used as the optimization method, and then the NPT annealing and kinetic pre-equilibrium operations are carried out, and the molecular dynamics simulation is carried out after the system relaxes to steady state. Through the MD method, the macroscopic phenomenon of temperature decrease in coal-based hydrocarbon fuel systems was analyzed from a microscopic perspective using mean square displacement, diffusion coefficient, and radial distribution function. It was predicted that the crystallization process of coal-based hydrocarbon fuel systems was mainly around 248 to 258 K.
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.