Linking Models of Polymerization and Dynamics to Predict Branched Polymer Structure and Flow

被引:140
作者
Read, Daniel J. [6 ]
Auhl, Dietmar [5 ]
Das, Chinmay [5 ]
den Doelder, Jaap [4 ]
Kapnistos, Michael [5 ]
Vittorias, Iakovos [3 ]
McLeish, Tom C. B. [1 ,2 ]
机构
[1] Univ Durham, Dept Phys, Durham DH1 3LE, England
[2] Univ Durham, Dept Chem, Durham DH1 3LE, England
[3] LyondellBasell Polyolefine GmbH, R&D Polymer Phys & Characterizat, Frankfurt, Germany
[4] Dow Benelux BV, Polyethylene Prod Res, NL-4530 AA Terneuzen, Netherlands
[5] Univ Leeds, Dept Phys & Astron, Leeds LS2 9JT, W Yorkshire, England
[6] Univ Leeds, Dept Appl Math, Leeds LS2 9JT, W Yorkshire, England
基金
英国工程与自然科学研究理事会;
关键词
RHEOLOGY; BEHAVIOR;
D O I
10.1126/science.1207060
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
We present a predictive scheme connecting the topological structure of highly branched entangled polymers, with industrial-level complexity, to the emergent viscoelasticity of the polymer melt. The scheme is able to calculate the linear and nonlinear viscoelasticity of a stochastically branched "high-pressure free radical" polymer melt as a function of the chemical kinetics of its formation. The method combines numerical simulation of polymerization with the tube/entanglement physics of polymer dynamics extended to fully nonlinear response. We compare calculations for a series of low-density polyethylenes with experiments on structural and viscoelastic properties. The method provides a window onto the molecular processes responsible for the optimized rheology of these melts, connecting fundamental science to process in complex flow, and opens up the in silico design of new materials.
引用
收藏
页码:1871 / 1874
页数:4
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