{"title":"丙烯与1 -己烯共聚的建模，以预测共聚物的分子量和组成","authors":"Franco Herrero, Adriana Brandolin, Claudia Sarmoria, Mariano Asteasuain","doi":"10.1002/mren.202200078","DOIUrl":null,"url":null,"abstract":"<p>A detailed mathematical model of the propylene-1-hexene copolymerization based on the two-dimensional probability generation function technique is developed. It calculates the joint molecular weight-copolymer composition distribution (MWD-CCD) of the copolymer, as well as the average copolymer composition distribution, the molecular weight distribution (MWD), the copolymer composition distribution (CCD), average molecular weights and composition, and yield. The parallelized execution of the model code allows for obtaining the different copolymer microstructure distributions efficiently. The model allows for reaching a thorough understanding of the copolymer microstructure under different operating conditions of a semibatch reactor. It also has the potential to become a powerful tool for selecting operating conditions to obtain a material with target molecular properties.</p>","PeriodicalId":18052,"journal":{"name":"Macromolecular Reaction Engineering","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2023-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modeling of the Copolymerization of Propylene with 1-Hexene to Predict the Copolymer Molecular Weight and Composition\",\"authors\":\"Franco Herrero, Adriana Brandolin, Claudia Sarmoria, Mariano Asteasuain\",\"doi\":\"10.1002/mren.202200078\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>A detailed mathematical model of the propylene-1-hexene copolymerization based on the two-dimensional probability generation function technique is developed. It calculates the joint molecular weight-copolymer composition distribution (MWD-CCD) of the copolymer, as well as the average copolymer composition distribution, the molecular weight distribution (MWD), the copolymer composition distribution (CCD), average molecular weights and composition, and yield. The parallelized execution of the model code allows for obtaining the different copolymer microstructure distributions efficiently. The model allows for reaching a thorough understanding of the copolymer microstructure under different operating conditions of a semibatch reactor. It also has the potential to become a powerful tool for selecting operating conditions to obtain a material with target molecular properties.</p>\",\"PeriodicalId\":18052,\"journal\":{\"name\":\"Macromolecular Reaction Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2023-02-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Macromolecular Reaction Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/mren.202200078\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, CHEMICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Macromolecular Reaction Engineering","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/mren.202200078","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
Modeling of the Copolymerization of Propylene with 1-Hexene to Predict the Copolymer Molecular Weight and Composition
A detailed mathematical model of the propylene-1-hexene copolymerization based on the two-dimensional probability generation function technique is developed. It calculates the joint molecular weight-copolymer composition distribution (MWD-CCD) of the copolymer, as well as the average copolymer composition distribution, the molecular weight distribution (MWD), the copolymer composition distribution (CCD), average molecular weights and composition, and yield. The parallelized execution of the model code allows for obtaining the different copolymer microstructure distributions efficiently. The model allows for reaching a thorough understanding of the copolymer microstructure under different operating conditions of a semibatch reactor. It also has the potential to become a powerful tool for selecting operating conditions to obtain a material with target molecular properties.
期刊介绍：
Macromolecular Reaction Engineering is the established high-quality journal dedicated exclusively to academic and industrial research in the field of polymer reaction engineering.
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