Comprehensive analysis of multiple factors influencing droplet coalescence by orthogonal simulation: A molecular dynamics study

IF 3.8 3区 工程技术 Q3 ENERGY & FUELS Chemical Engineering and Processing - Process Intensification Pub Date : 2025-03-17 DOI:10.1016/j.cep.2025.110280
Ruipeng Zhang , Zhiqian Sun , Yuling Fan , Yanming Xie , Chaozhi Ma
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Abstract

In recent years, electrostatic coalescing technology has been widely used in the electric dehydration of crude oil due to its many advantages. However, with the widespread use of chemical flooding technology in oil fields, the disadvantages are becoming more and more obvious. Many scholars try to improve the coalescing efficiency through numerical simulation, but most of the existing studies focus on the macro level and the impact on the micro scale is not detailed enough. In this study, the GROMACS simulation software was used to simulate molecular dynamics. By establishing a simulation system, the approaching time and fusion time of droplet coalescence, as well as the interaction potential energy between droplet were investigated. Then L16 (45) orthogonal test table was used for orthogonal simulation, and the microscopic mechanism of droplet coalescence and the priority order of each factor affecting droplet coalescence efficiency could be obtained. The results of this study will help to further improve the mechanism of electrostatic coalescence from the molecular level, and the numerical simulation method used in this study has a good reference value for the study of micro and nano droplet characteristics.

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来源期刊
CiteScore
7.80
自引率
9.30%
发文量
408
审稿时长
49 days
期刊介绍: Chemical Engineering and Processing: Process Intensification is intended for practicing researchers in industry and academia, working in the field of Process Engineering and related to the subject of Process Intensification.Articles published in the Journal demonstrate how novel discoveries, developments and theories in the field of Process Engineering and in particular Process Intensification may be used for analysis and design of innovative equipment and processing methods with substantially improved sustainability, efficiency and environmental performance.
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