Issue 31, 2023

Low-intensity mixing process of high molecular weight polymer chains leads to elastomers of long network strands and high fatigue threshold

Abstract

Many polymer networks are prepared by crosslinking polymer chains. The polymer chains and crosslinkers are commonly mixed in internal mixers or roll mills. These intense processes break the polymer chains, lower viscosity, and ease mixing. The resulting polymer networks have short chains and a fatigue threshold of ∼100 J m−2. Here, we show that a low-intensity process, a combination of kneading and annealing, preserves long chains, leading to a network of polybutadiene to achieve a fatigue threshold of 440 J m−2. In a network, each chain has multiple crosslinks, which divides the chain into multiple strands. At the ends of the chain are two dangling strands that do not bear the load. The larger the number of crosslinks per chain, the lower the fraction of dangling strands. High fatigue threshold requires long strands, as well as a low fraction of dangling strands. Once intense mixing cuts chains short, each short chain can only have a few crosslinks; the strands are short and the fraction of dangling strands is high—both lower the fatigue threshold. By contrast, a low-intensity mixing process preserves long chains, which can have many crosslinks; the strands are long and the fraction of dangling strands is low—both increase the fatigue threshold. It is hoped that this work will aid the development of fatigue-resistant elastomers.

Graphical abstract: Low-intensity mixing process of high molecular weight polymer chains leads to elastomers of long network strands and high fatigue threshold

Article information

Article type
Paper
Submitted
28 May 2023
Accepted
13 Jul 2023
First published
15 Jul 2023

Soft Matter, 2023,19, 5956-5966

Author version available

Low-intensity mixing process of high molecular weight polymer chains leads to elastomers of long network strands and high fatigue threshold

X. Bao, G. Nian, Y. Kutsovsky, J. Kim, Q. Jiao and Z. Suo, Soft Matter, 2023, 19, 5956 DOI: 10.1039/D3SM00687E

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