{"title":"二元烃混合物逆行缩聚的直接能量最小化数值模拟","authors":"A. V. Isaeva","doi":"10.3103/S0027134925700079","DOIUrl":null,"url":null,"abstract":"<p>In this paper, retrograde condensation is considered using binary mixtures of hydrocarbons as an example. The feasibility of numerical simulation of this phenomenon using the direct energy minimization is demonstrated. To verify the calculations, similar simulations are performed using the ‘‘classical’’ iterative algorithm for calculating vapor–liquid equilibria in hydrocarbon mixtures. A comparison of the simulation results with the data of physical experiments confirms the prospects of using the direct energy minimization method for phase transition calculations in hydrocarbon mixtures.</p>","PeriodicalId":711,"journal":{"name":"Moscow University Physics Bulletin","volume":"80 1","pages":"174 - 180"},"PeriodicalIF":0.4000,"publicationDate":"2025-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Numerical Simulation of Retrograde Condensation of Binary Hydrocarbon Mixtures Using Direct Energy Minimization\",\"authors\":\"A. V. Isaeva\",\"doi\":\"10.3103/S0027134925700079\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>In this paper, retrograde condensation is considered using binary mixtures of hydrocarbons as an example. The feasibility of numerical simulation of this phenomenon using the direct energy minimization is demonstrated. To verify the calculations, similar simulations are performed using the ‘‘classical’’ iterative algorithm for calculating vapor–liquid equilibria in hydrocarbon mixtures. A comparison of the simulation results with the data of physical experiments confirms the prospects of using the direct energy minimization method for phase transition calculations in hydrocarbon mixtures.</p>\",\"PeriodicalId\":711,\"journal\":{\"name\":\"Moscow University Physics Bulletin\",\"volume\":\"80 1\",\"pages\":\"174 - 180\"},\"PeriodicalIF\":0.4000,\"publicationDate\":\"2025-05-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Moscow University Physics Bulletin\",\"FirstCategoryId\":\"101\",\"ListUrlMain\":\"https://link.springer.com/article/10.3103/S0027134925700079\",\"RegionNum\":4,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"PHYSICS, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Moscow University Physics Bulletin","FirstCategoryId":"101","ListUrlMain":"https://link.springer.com/article/10.3103/S0027134925700079","RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PHYSICS, MULTIDISCIPLINARY","Score":null,"Total":0}
Numerical Simulation of Retrograde Condensation of Binary Hydrocarbon Mixtures Using Direct Energy Minimization
In this paper, retrograde condensation is considered using binary mixtures of hydrocarbons as an example. The feasibility of numerical simulation of this phenomenon using the direct energy minimization is demonstrated. To verify the calculations, similar simulations are performed using the ‘‘classical’’ iterative algorithm for calculating vapor–liquid equilibria in hydrocarbon mixtures. A comparison of the simulation results with the data of physical experiments confirms the prospects of using the direct energy minimization method for phase transition calculations in hydrocarbon mixtures.
期刊介绍:
Moscow University Physics Bulletin publishes original papers (reviews, articles, and brief communications) in the following fields of experimental and theoretical physics: theoretical and mathematical physics; physics of nuclei and elementary particles; radiophysics, electronics, acoustics; optics and spectroscopy; laser physics; condensed matter physics; chemical physics, physical kinetics, and plasma physics; biophysics and medical physics; astronomy, astrophysics, and cosmology; physics of the Earth’s, atmosphere, and hydrosphere.