Litcius/Paper detail

Experimental investigation and modeling of the temperature memory effect in a 4D-printed auxetic structure

Chiara Pasini, Nicoletta Inverardi, Davide Battini, Giulia Scalet, Stefania Marconi, Ferdinando Auricchio, Stefano Pandini

2022Smart Materials and Structures23 citationsDOI

Abstract

Abstract 4D printing is an innovative manufacturing approach that combines 3D printing and stimuli- responsive abilities to produce objects with complex geometry and capable of shapeshifting over time (the fourth dimension). To pursue such an approach this paper proposes to develop re-entrant honeycomb auxetic grids with tunable shape reconfigurable behavior. Particularly, the work combines 3D printing and a photopolymer exhibiting the so-called temperature memory effect (TME), a peculiar shape memory behavior expressing the capability of the material to remember not only the original shape but also the deformation temperature. A thorough experimental activity was carried out on single auxetic unit cells, chosen as representative of the whole auxetic grid, to properly highlight and assess their response upon heating after single-step and multiple-step deformation histories and to describe the recovery process as a function of time and temperature. Results demonstrate the possibility to achieve an easily controlled TME and to successfully exploit it for autonomous, complex hierarchical transformations over a large range of temperatures. As a proof-of-concept, the study of the sequential recovery of an entire auxetic grid subjected to double-step programming allowed highlighting a decoupled in-plane elongation and out-of-plane bending. The behavior of the 4D-printed auxetic structures was simulated by means of finite element (FE) analysis, using a thermoviscoelastic model of the photopolymer and viscoelastic experimental data obtained by time-temperature superposition analysis applied to multifrequency dynamic mechanical tests and to isothermal recovery tests. A good correspondence between experiments and simulations was obtained for all shape memory tests, demonstrating that the proposed FE approach is a suitable tool to support the design of these structures. The combination of 3D printing and TME opens new perspectives to achieve dynamic tunability in mechanical metamaterials, that is a key ingredient in several application fields.

Topics & Concepts

AuxeticsShape-memory alloyMaterials scienceSuperposition principleFinite element methodBendingShape-memory polymer3D printingDeformation (meteorology)MorphingSmart materialGridStereolithographyComputer scienceProcess (computing)Isothermal processHoneycombMechanical engineeringStructural engineeringComposite materialGeometryComputer graphics (images)EngineeringOperating systemPhysicsMathematicsQuantum mechanicsThermodynamicsPolymer composites and self-healingCellular and Composite StructuresAdvanced Materials and Mechanics