4.7 Article

Mechanical Performance and Visual Fracture Warning Function of Mechanochromic Stimuli-Recovery Polymer Networks

期刊

MACROMOLECULES
卷 54, 期 18, 页码 8664-8674

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.macromol.1c00904

关键词

-

资金

  1. JST CREST [JPMJCR1991]

向作者/读者索取更多资源

The UV-cured mechanochromic polymer networks show enhanced mechanical properties, visualized stress effects, improved stress distribution, and clearer dissociation of dynamic covalent bonds. The quantitative analysis using achromatic gray-scale color space provides a more effective research method, offering insights into the performance of the materials.
Stimuli-recovery polymer networks with enhanced mechanical performance were designed and synthesized through UV-curing photo-polymerization. Thanks to a mechanochromic cross-linker difluorenylsuccinonitrile-containing dimethacrylate (DFMA), poly(stearyl methacrylate-co-N,N-dimethyl acrylamide) (P(SMA-DMAA)) networks visualized the stress, showing improvements in toughness and higher energy dissipation. The molar ratios determined the transition temperatures, crystal structures, and mechanical performance of the polymer networks. A more efficient and scientific analysis based on achromatic gray-scale colorspace was first proposed to evaluate the mechano-responsive color quantitatively. Uniform evaluation criteria were expected to be established based on the method. The stress distribution and dissociation of dynamic covalent bonds were recorded precisely and expressed clearly on gray-scale color maps, providing a clear warning for when materials were threatening to break. Mechanochromic P(SMA-DMAA) networks showed a prolonged recovery at room temperature. While under heat stimulation, they presented excellent recovery ability with 90% strength and 95% energy. Additionally, the mechano-responsive color changes repeated, showing a similar changing trend to that in the first cycle. The mechanochromic stimuli-recovery P(S -DMAA) networks had enhanced mechanical performance and a reliable visual fracture warning function.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据