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Large deformation of shape-memory polymer-based lattice metamaterials

Pirhaji, A ; Sharif University of Technology | 2022

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  1. Type of Document: Article
  2. DOI: 10.1016/j.ijmecsci.2022.107593
  3. Publisher: Elsevier Ltd , 2022
  4. Abstract:
  5. Through advanced computational analysis, this work demonstrates that metamaterial structures when made by shape-memory polymers (SMPs) can provide unique intelligent mechanical behavior. For the first time, geometrical effects, pertaining to low and ultra-low densities, on the thermomechanical behavior of SMP-based octet-truss lattice meta-structures are studied in this work. A reliable constitutive thermo-visco-hyperelastic model is applied to analyze the shape-memory behavior of several designed octet-truss lattices with ultra-low and low relative densities, ranging from 0.04 to 0.23. Different compressive strain values are tested to determine the effect of pre-straining. It is concluded that changing the relative density as a consequence of altering the diameter of struts in lattice meta-structures is a crucial factor affecting their shape-memory properties, deformation mechanism, and macro-scale mechanical properties compared to the bulk SMPs. The finite element results demonstrate that the relative density and pre-strain level provide two controlling parameters in programming the SMP-based lattice meta-structures and enhancing their stress recoverability. © 2022
  6. Keywords:
  7. Finite element analysis ; Large deformations ; Metamaterials ; Octet-truss lattices ; Shape-memory polymers ; Deformation ; Density (specific gravity) ; Finite element method ; Strain ; Trusses ; Computational analysis ; Finite element analyse ; Larger deformations ; Mechanical behavior ; Metamaterial structures ; Metastructures ; Octet-truss lattice ; Polymer based ; Relative density ; Shape memory polymers ; Metamaterials
  8. Source: International Journal of Mechanical Sciences ; Volume 232 , 2022 ; 00207403 (ISSN)
  9. URL: https://www.sciencedirect.com/science/article/abs/pii/S0020740322004842