Literature DB >> 29382758

Auxetic metamaterials from disordered networks.

Daniel R Reid1, Nidhi Pashine2, Justin M Wozniak3, Heinrich M Jaeger2, Andrea J Liu4, Sidney R Nagel2, Juan J de Pablo5,6.   

Abstract

Recent theoretical work suggests that systematic pruning of disordered networks consisting of nodes connected by springs can lead to materials that exhibit a host of unusual mechanical properties. In particular, global properties such as Poisson's ratio or local responses related to deformation can be precisely altered. Tunable mechanical responses would be useful in areas ranging from impact mitigation to robotics and, more generally, for creation of metamaterials with engineered properties. However, experimental attempts to create auxetic materials based on pruning-based theoretical ideas have not been successful. Here we introduce a more realistic model of the networks, which incorporates angle-bending forces and the appropriate experimental boundary conditions. A sequential pruning strategy of select bonds in this model is then devised and implemented that enables engineering of specific mechanical behaviors upon deformation, both in the linear and in the nonlinear regimes. In particular, it is shown that Poisson's ratio can be tuned to arbitrary values. The model and concepts discussed here are validated by preparing physical realizations of the networks designed in this manner, which are produced by laser cutting 2D sheets and are found to behave as predicted. Furthermore, by relying on optimization algorithms, we exploit the networks' susceptibility to tuning to design networks that possess a distribution of stiffer and more compliant bonds and whose auxetic behavior is even greater than that of homogeneous networks. Taken together, the findings reported here serve to establish that pruned networks represent a promising platform for the creation of unique mechanical metamaterials.

Entities:  

Keywords:  auxetic; impact mitigation; metamaterials; optimization; structure

Year:  2018        PMID: 29382758      PMCID: PMC5816187          DOI: 10.1073/pnas.1717442115

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  7 in total

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5.  The role of rigidity in controlling material failure.

Authors:  Michelle M Driscoll; Bryan Gin-Ge Chen; Thomas H Beuman; Stephan Ulrich; Sidney R Nagel; Vincenzo Vitelli
Journal:  Proc Natl Acad Sci U S A       Date:  2016-09-12       Impact factor: 11.205

6.  Role of local response in manipulating the elastic properties of disordered solids by bond removal.

Authors:  Daniel Hexner; Andrea J Liu; Sidney R Nagel
Journal:  Soft Matter       Date:  2018-01-03       Impact factor: 3.679

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Authors:  Daniel M Sussman; Carl P Goodrich; Andrea J Liu
Journal:  Soft Matter       Date:  2016-03-21       Impact factor: 3.679

  7 in total
  10 in total

1.  Forecasting failure locations in 2-dimensional disordered lattices.

Authors:  Estelle Berthier; Mason A Porter; Karen E Daniels
Journal:  Proc Natl Acad Sci U S A       Date:  2019-08-02       Impact factor: 11.205

2.  Periodic training of creeping solids.

Authors:  Daniel Hexner; Andrea J Liu; Sidney R Nagel
Journal:  Proc Natl Acad Sci U S A       Date:  2020-11-30       Impact factor: 11.205

3.  Metamaterials with engineered failure load and stiffness.

Authors:  Sai Sharan Injeti; Chiara Daraio; Kaushik Bhattacharya
Journal:  Proc Natl Acad Sci U S A       Date:  2019-11-11       Impact factor: 11.205

4.  Rigidity and auxeticity transitions in networks with strong bond-bending interactions.

Authors:  Robbie Rens; Edan Lerner
Journal:  Eur Phys J E Soft Matter       Date:  2019-09-04       Impact factor: 1.890

5.  Edge betweenness centrality as a failure predictor in network models of structurally disordered materials.

Authors:  Mahshid Pournajar; Michael Zaiser; Paolo Moretti
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6.  Onset of criticality in hyper-auxetic polymer networks.

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Journal:  Nat Commun       Date:  2022-01-26       Impact factor: 17.694

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Authors:  Amin Farzaneh; Nikhil Pawar; Carlos M Portela; Jonathan B Hopkins
Journal:  Nat Commun       Date:  2022-02-24       Impact factor: 14.919

8.  Mechanical cloak via data-driven aperiodic metamaterial design.

Authors:  Liwei Wang; Jagannadh Boddapati; Ke Liu; Ping Zhu; Chiara Daraio; Wei Chen
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9.  Equally probable positive and negative Poisson's ratios in disordered planar systems.

Authors:  Christophe M Verstreken; Kevin J Chalut; Raphael Blumenfeld
Journal:  Soft Matter       Date:  2018-08-08       Impact factor: 3.679

10.  Random auxetics from buckling fibre networks.

Authors:  S Domaschke; A Morel; G Fortunato; A E Ehret
Journal:  Nat Commun       Date:  2019-10-25       Impact factor: 14.919

  10 in total

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