{"title":"基于渗流和 De Gennes 自相似地毯理论的聚合物纳米复合材料、共混物和基于共混物的纳米复合材料随温度变化的存储模量","authors":"Reza Mohammadi, Esmail Sharifzadeh, Neda Azimi","doi":"10.1007/s13726-024-01300-1","DOIUrl":null,"url":null,"abstract":"<div><p>Temperature-dependent storage modulus of polymer nanocomposites, blends and blend-based nanocomposites was studied using both analytical and experimental approaches. The analytical strategy comprised modeling the thermomechanical property of the systems based on parameters affecting the conversion degree of polymer chains in state-to-state transitions and mechanical characteristics of the polymer/polymer interface. Accordingly, percolation theory was developed to define the order of conversion rate and conversion degree of polymer chains considering the thermomechanical characteristics of the neat polymer matrix, behavior of nanoparticles in the system and formation of polymer/particle interphase region. The effect of interphase on a temperature-dependent conversion of polymer molecules was estimated based on De Gennes’s self-similar using the molecular characteristics of the adsorbed polymer chains and related scaling factor. To validate the model predictions, different neat, blend, nanocomposite and blend-based nanocomposite samples were prepared using high-density polyethylene, polyethylene terephthalate and hollow graphene oxide nanoparticles, where needed, and subjected to dynamic mechanical thermal analysis and other required tests. Besides providing acceptably accurate predictions in the case of all neat and nanocomposite samples, the model was proved to be independent of the system’s morphological variation.</p><h3>Graphical abstract</h3><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":601,"journal":{"name":"Iranian Polymer Journal","volume":null,"pages":null},"PeriodicalIF":2.4000,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Temperature-dependent storage modulus of polymer nanocomposites, blends and blend-based nanocomposites based on percolation and De Gennes’s self-similar carpet theories\",\"authors\":\"Reza Mohammadi, Esmail Sharifzadeh, Neda Azimi\",\"doi\":\"10.1007/s13726-024-01300-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Temperature-dependent storage modulus of polymer nanocomposites, blends and blend-based nanocomposites was studied using both analytical and experimental approaches. The analytical strategy comprised modeling the thermomechanical property of the systems based on parameters affecting the conversion degree of polymer chains in state-to-state transitions and mechanical characteristics of the polymer/polymer interface. Accordingly, percolation theory was developed to define the order of conversion rate and conversion degree of polymer chains considering the thermomechanical characteristics of the neat polymer matrix, behavior of nanoparticles in the system and formation of polymer/particle interphase region. The effect of interphase on a temperature-dependent conversion of polymer molecules was estimated based on De Gennes’s self-similar using the molecular characteristics of the adsorbed polymer chains and related scaling factor. To validate the model predictions, different neat, blend, nanocomposite and blend-based nanocomposite samples were prepared using high-density polyethylene, polyethylene terephthalate and hollow graphene oxide nanoparticles, where needed, and subjected to dynamic mechanical thermal analysis and other required tests. 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引用次数: 0
摘要
采用分析和实验方法研究了聚合物纳米复合材料、共混物和基于共混物的纳米复合材料随温度变化的存储模量。分析策略包括根据影响聚合物链在状态-状态转换中的转换度以及聚合物/聚合物界面的机械特性的参数,建立系统的热机械特性模型。因此,考虑到纯聚合物基体的热力学特性、纳米粒子在系统中的行为以及聚合物/粒子相间区的形成,建立了渗流理论来定义聚合物链的转化率和转化度的顺序。利用吸附聚合物链的分子特性和相关比例因子,根据 De Gennes 自相似估算了相间区对随温度变化的聚合物分子转化率的影响。为验证模型预测结果,根据需要使用高密度聚乙烯、聚对苯二甲酸乙二醇酯和空心氧化石墨烯纳米颗粒制备了不同的纯样品、共混样品、纳米复合材料和基于共混的纳米复合材料样品,并进行了动态机械热分析和其他必要的测试。除了对所有纯样品和纳米复合材料样品提供可接受的准确预测外,该模型还被证明不受系统形态变化的影响。
Temperature-dependent storage modulus of polymer nanocomposites, blends and blend-based nanocomposites based on percolation and De Gennes’s self-similar carpet theories
Temperature-dependent storage modulus of polymer nanocomposites, blends and blend-based nanocomposites was studied using both analytical and experimental approaches. The analytical strategy comprised modeling the thermomechanical property of the systems based on parameters affecting the conversion degree of polymer chains in state-to-state transitions and mechanical characteristics of the polymer/polymer interface. Accordingly, percolation theory was developed to define the order of conversion rate and conversion degree of polymer chains considering the thermomechanical characteristics of the neat polymer matrix, behavior of nanoparticles in the system and formation of polymer/particle interphase region. The effect of interphase on a temperature-dependent conversion of polymer molecules was estimated based on De Gennes’s self-similar using the molecular characteristics of the adsorbed polymer chains and related scaling factor. To validate the model predictions, different neat, blend, nanocomposite and blend-based nanocomposite samples were prepared using high-density polyethylene, polyethylene terephthalate and hollow graphene oxide nanoparticles, where needed, and subjected to dynamic mechanical thermal analysis and other required tests. Besides providing acceptably accurate predictions in the case of all neat and nanocomposite samples, the model was proved to be independent of the system’s morphological variation.
期刊介绍:
Iranian Polymer Journal, a monthly peer-reviewed international journal, provides a continuous forum for the dissemination of the original research and latest advances made in science and technology of polymers, covering diverse areas of polymer synthesis, characterization, polymer physics, rubber, plastics and composites, processing and engineering, biopolymers, drug delivery systems and natural polymers to meet specific applications. Also contributions from nano-related fields are regarded especially important for its versatility in modern scientific development.