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米勒-马科斯科理论预测、分子动力学模拟估计与端接聚合物网络剪切模量长期实验数据之间的比较

A Comparison between Predictions of the Miller-Macosko Theory, Estimates from Molecular Dynamics Simulations, and Long-Standing Experimental Data of the Shear Modulus of End-Linked Polymer Networks.

作者信息

Tsimouri Ioanna Ch, Schwarz Fabian, Bernhard Tim, Gusev Andrei A

机构信息

Department of Materials, ETH Zürich, CH-8093 Zürich, Switzerland.

出版信息

Macromolecules. 2024 Apr 17;57(9):4273-4284. doi: 10.1021/acs.macromol.3c02544. eCollection 2024 May 14.

DOI:10.1021/acs.macromol.3c02544
PMID:38765498
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11100001/
Abstract

Long-standing experimental data on the elastic modulus of end-linked poly(dimethylsiloxane) (PDMS) networks are employed to corroborate the validity of the Miller-Macosko theory (MMT). The validity of MMT is also confirmed by molecular dynamics (MD) simulations that mimic the experimentally realized networks. It becomes apparent that for a network formed from bulk, where the fractions of the loops are small, it is sufficient to account for the topological details of a reference tree-like network, i.e., for its degree of completion, junction functionalities, and trapped entanglements, in order to practically predict the modulus. However, a mismatch is identified between the MMT and MD simulations in relating the fraction of the soluble material to the extent of reaction. A large contribution of entanglements to the modulus of PDMS networks prepared with short precursor chains is presented, suggesting that the elastic modulus of commonly used end-linked PDMS networks is in fact entanglement-dominated.

摘要

长期以来关于端基连接的聚二甲基硅氧烷(PDMS)网络弹性模量的实验数据被用于证实米勒 - 马科斯柯理论(MMT)的有效性。MMT的有效性也通过模拟实验实现的网络的分子动力学(MD)模拟得到了证实。很明显,对于由本体形成的网络,其中环的比例较小,为了实际预测模量,考虑参考树状网络的拓扑细节,即其完成度、连接功能和被困缠结就足够了。然而,在将可溶材料的比例与反应程度相关联方面,MMT和MD模拟之间存在不匹配。研究表明缠结对用短前驱体链制备的PDMS网络的模量有很大贡献,这表明常用的端基连接的PDMS网络的弹性模量实际上是以缠结为主导的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/216f/11100001/c5f8b94585f8/ma3c02544_0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/216f/11100001/a40efc91162e/ma3c02544_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/216f/11100001/95844358ccb7/ma3c02544_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/216f/11100001/ebe209a04676/ma3c02544_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/216f/11100001/ca15e49d6561/ma3c02544_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/216f/11100001/85446a35736f/ma3c02544_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/216f/11100001/b1749dfdec66/ma3c02544_0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/216f/11100001/c5f8b94585f8/ma3c02544_0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/216f/11100001/a40efc91162e/ma3c02544_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/216f/11100001/95844358ccb7/ma3c02544_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/216f/11100001/ebe209a04676/ma3c02544_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/216f/11100001/ca15e49d6561/ma3c02544_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/216f/11100001/85446a35736f/ma3c02544_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/216f/11100001/b1749dfdec66/ma3c02544_0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/216f/11100001/c5f8b94585f8/ma3c02544_0007.jpg

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