The low-temperature dissolution characteristics of water in coal-based hydrocarbon fuels and its molecular dynamics simulation

IF 2.1 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Zengzhi He, Chongpeng Du, Jun Yu, Siyi Jing, Zonggang Du, Lichuan Gao, Chong Wang, Jiaxi Lei, Yonghong Zhu, Louwei Cui, Wei Han, Dong Li
{"title":"The low-temperature dissolution characteristics of water in coal-based hydrocarbon fuels and its molecular dynamics simulation","authors":"Zengzhi He,&nbsp;Chongpeng Du,&nbsp;Jun Yu,&nbsp;Siyi Jing,&nbsp;Zonggang Du,&nbsp;Lichuan Gao,&nbsp;Chong Wang,&nbsp;Jiaxi Lei,&nbsp;Yonghong Zhu,&nbsp;Louwei Cui,&nbsp;Wei Han,&nbsp;Dong Li","doi":"10.1007/s00894-025-06302-1","DOIUrl":null,"url":null,"abstract":"<div><h3>Context</h3><p>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.</p><h3>Methods</h3><p>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.</p></div>","PeriodicalId":651,"journal":{"name":"Journal of Molecular Modeling","volume":"31 3","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Molecular Modeling","FirstCategoryId":"92","ListUrlMain":"https://link.springer.com/article/10.1007/s00894-025-06302-1","RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
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.

Abstract Image

煤基烃类燃料中水的低温溶解特性及其分子动力学模拟
作为传统石油衍生航空燃料的替代品,煤基碳氢化合物燃料中的水在低温下可能沉淀成冰,导致燃料系统故障,危及飞行安全。本研究采用卡尔费休滴定法结合油水分检测器的优化组合,共同测量煤基碳氢化合物燃料在室温下的水溶性。对油品水分检测仪进行系数修正,最后测量了233 ~ 313 K煤基烃燃料的水溶性曲线,并与其他文献结果进行了比较。由于实际燃料含水量极低,且燃料中水分布不均匀,本研究主要考虑燃料中水富集带。方法利用materials Studio 2019软件模拟煤基烃燃料的代表性分子模型和水的代表性分子模型。设置和测试了原子的位置和电荷,并选择了COMPASS力场来描述原子间的相互作用。该力场是第一个能够准确预测各种分子和聚合物之间相互作用的全新计算领域。在Forcite模块中进行了几何优化,并利用非晶细胞工具模块中的Construction工具构建了煤基烃燃料体系。两个模型分别由3674个原子和3671个原子组成,初始尺寸为33.2 × 33.2 × 33.2 Å,边界条件为周期边界条件,将两个模型的能量最小化,采用共轭梯度法作为优化方法,然后进行NPT退火和动力学预平衡操作,待系统松弛至稳态后进行分子动力学模拟。通过MD方法,利用均方位移、扩散系数和径向分布函数,从微观角度分析了煤基烃燃料体系的宏观降温现象。预测煤基烃类燃料体系的结晶过程主要发生在248 ~ 258 K附近。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of Molecular Modeling
Journal of Molecular Modeling 化学-化学综合
CiteScore
3.50
自引率
4.50%
发文量
362
审稿时长
2.9 months
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信