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Improving the strength and toughness of macroscale double networks by exploiting Poisson’s ratio mismatch

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Title: Improving the strength and toughness of macroscale double networks by exploiting Poisson’s ratio mismatch
Authors: Okumura, Tsuyoshi Browse this author
Takahashi, Riku Browse this author
Hagita, Katsumi Browse this author
King, Daniel R. Browse this author
Gong, Jian Ping Browse this author →KAKEN DB
Issue Date: 24-Jun-2021
Publisher: Nature Publishing Group
Journal Title: Scientific Reports
Volume: 11
Issue: 1
Start Page: 13280
Publisher DOI: 10.1038/s41598-021-92773-0
PMID: 34168253
Abstract: We propose a new concept that utilizes the difference in Poisson’s ratio between component materials as a strengthening mechanism that increases the effectiveness of the sacrificial bond toughening mechanism in macroscale double-network (Macro-DN) materials. These Macro-DN composites consist of a macroscopic skeleton imbedded within a soft elastic matrix. We varied the Poisson’s ratio of the reinforcing skeleton by introducing auxetic or honeycomb functional structures that results in Poisson’s ratio mismatch between the skeleton and matrix. During uniaxial tensile experiments, high strength and toughness were achieved due to two events: (1) multiple internal bond fractures of the skeleton (like sacrificial bonds in classic DN gels) and (2) significant, biaxial deformation of the matrix imposed by the functional skeleton. The Macro-DN composite with auxetic skeleton exhibits up to 4.2 times higher stiffness and 4.4 times higher yield force than the sum of the component materials. The significant improvement in mechanical performance is correlated to the large mismatch in Poisson’s ratio between component materials, and the enhancement is especially noticeable in the low-stretch regime. The strengthening mechanism reported here based on Poisson’s ratio mismatch can be widely used for soft materials regardless of chemical composition and will improve the mechanical properties of elastomer and hydrogel systems.
Type: article
Appears in Collections:生命科学院・先端生命科学研究院 (Graduate School of Life Science / Faculty of Advanced Life Science) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)


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