{"title":"使用温度依赖的相互作用参数的纯甲烷气液相图:一个蒙特卡罗模拟","authors":"I. Suleiman","doi":"10.48103/jjeci212019","DOIUrl":null,"url":null,"abstract":"Adopting temperature-dependent interaction parameters in the Lennard-Jones potential, the vapor-liquid phase diagram of\nmethane was produced using NVT Gibbs Ensemble Monte Carlo technique. Published second virial coefficient data were used\nto fit a simple two-parameter temperature-dependent model for the interaction parameters. The simulations were carried out in\nthe temperature range 120-190 K. The critical density and temperature were evaluated using Ising-scaling model. Using the\ntemperature-dependent interaction parameters in the simulation has reduced the root mean square deviation by 94.7%\ncompared to the temperature-independent interaction parameters. The evaluated critical temperature was enhanced using\ntemperature-dependent interaction parameters, whereas the simulations using temperature-independent interaction parameters\npredict a better critical density value","PeriodicalId":127416,"journal":{"name":"Volume 2 issue 1","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Vapor-Liquid Phase Diagram of Pure Methane Using\\nTemperature-Dependent Interaction Parameters: A Monte\\nCarlo Simulation\",\"authors\":\"I. Suleiman\",\"doi\":\"10.48103/jjeci212019\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Adopting temperature-dependent interaction parameters in the Lennard-Jones potential, the vapor-liquid phase diagram of\\nmethane was produced using NVT Gibbs Ensemble Monte Carlo technique. Published second virial coefficient data were used\\nto fit a simple two-parameter temperature-dependent model for the interaction parameters. The simulations were carried out in\\nthe temperature range 120-190 K. The critical density and temperature were evaluated using Ising-scaling model. Using the\\ntemperature-dependent interaction parameters in the simulation has reduced the root mean square deviation by 94.7%\\ncompared to the temperature-independent interaction parameters. The evaluated critical temperature was enhanced using\\ntemperature-dependent interaction parameters, whereas the simulations using temperature-independent interaction parameters\\npredict a better critical density value\",\"PeriodicalId\":127416,\"journal\":{\"name\":\"Volume 2 issue 1\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Volume 2 issue 1\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.48103/jjeci212019\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Volume 2 issue 1","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.48103/jjeci212019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
采用Lennard-Jones势中温度相关的相互作用参数,利用NVT Gibbs Ensemble Monte Carlo技术得到了甲烷的气液相图。已发表的第二维里系数数据用于拟合一个简单的双参数温度依赖模型的相互作用参数。模拟在120 ~ 190 K的温度范围内进行。采用Ising-scaling模型对临界密度和临界温度进行了评价。与温度无关的相互作用参数相比,在模拟中使用温度相关的相互作用参数使均方根偏差减小了94.7%。使用与温度相关的相互作用参数可以增强评估的临界温度,而使用与温度无关的相互作用参数的模拟可以预测更好的临界密度值
The Vapor-Liquid Phase Diagram of Pure Methane Using
Temperature-Dependent Interaction Parameters: A Monte
Carlo Simulation
Adopting temperature-dependent interaction parameters in the Lennard-Jones potential, the vapor-liquid phase diagram of
methane was produced using NVT Gibbs Ensemble Monte Carlo technique. Published second virial coefficient data were used
to fit a simple two-parameter temperature-dependent model for the interaction parameters. The simulations were carried out in
the temperature range 120-190 K. The critical density and temperature were evaluated using Ising-scaling model. Using the
temperature-dependent interaction parameters in the simulation has reduced the root mean square deviation by 94.7%
compared to the temperature-independent interaction parameters. The evaluated critical temperature was enhanced using
temperature-dependent interaction parameters, whereas the simulations using temperature-independent interaction parameters
predict a better critical density value