Temperature-tunable time-dependent snapping of viscoelastic metastructures with snap-through instabilities

Che, Kaikai; Rouleau, Michael; Meaud, Julien

doi:10.1016/j.eml.2019.100528

Cited by 23 publications

(8 citation statements)

References 22 publications

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“…One can also look beyond the case of viscoelasticity treated here to manage the energy landscape of adaptive and interactive materials and materials systems [69]. For instance, Che et al [46] showed that temperature can be used to expand the design space of the previously discussed pseudo-bistability in mechanical metamaterials [40,41,42]. In particular, they showed that by changing the temperature, they could control the amount of time it took to snapback.…”

Section: Discussionmentioning

confidence: 99%

“…With so many possibilities to harness dissipation in the design of mechanical metamaterials, the next step is to go from generating new types of mechanical behaviour to new functionalities to actual applications. One can then think about functionality at material level such as shock damping [45,46] or vibration damping [86] as well as the high potential of using viscoelasticity to develop synthetic soft tissues and implants [87]. Dissipative materials can also be beneficial to enrich the design of machine-like devices.…”

Section: Discussionmentioning

confidence: 99%

“…However, although the effect of the constitutive materials' dissipation on mechanical instabilities has been well studied [37,38,39,40,41,42,43,44], the role of dissipation in the instabilities that underpin the extreme mechanics of mechanical metamaterials remains poorly understood (Fig 1). Yet, there is growing evidence that dissipation can play a key role in the response of mechanical metamaterials that are based on buckling [45,46]. In addition, a growing body of work has recently demonstrated that a wide variety of additional functionalities can be obtained by leveraging dissipation in mechanical metamaterials [47,46,48,49].…”

Section: Introductionmentioning

confidence: 99%

“…Yet, there is growing evidence that dissipation can play a key role in the response of mechanical metamaterials that are based on buckling [45,46]. In addition, a growing body of work has recently demonstrated that a wide variety of additional functionalities can be obtained by leveraging dissipation in mechanical metamaterials [47,46,48,49].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

The Extreme Mechanics of Viscoelastic Metamaterials

Dykstra¹,

Janbaz²,

Coulais³

2022

Preprint

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Mechanical metamaterials made of flexible building blocks can exhibit a plethora of extreme mechanical responses, such as negative elastic constants, shape-changes, programmability and memory. To date, dissipation has largely remained overlooked for such flexible metamaterials. As a matter of fact, extensive care has often been devoted in the constitutive materials' choice to avoid strong dissipative effects. However, in an increasing number of scenarios, where metamaterials are loaded dynamically, dissipation can not be ignored. In this review, we show that the interplay between mechanical instabilities and viscoelasticity can be crucial and can be harnessed to obtain new functionalities. We first show that this interplay is key to understanding the dynamical behaviour of flexible dissipative metamaterials that use buckling and snapping as functional mechanisms. We further discuss the new opportunities that spatial patterning of viscoelastic properties offer for the design of mechanical metamaterials with properties that depend on loading rate.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The Extreme Mechanics of Viscoelastic Metamaterials

Dykstra¹,

Janbaz²,

Coulais³

2022

Preprint

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“…This has been demonstrated recently in designs that rely on pseudo-bistable snap-back, e.g. 3D-printed viscoelastic metastructures whose time-dependent properties are tunable based on temperature [69], with even more flexibility afforded by using multiple viscoelastic materials [70]. Another study examines the interplay between viscous dissipation and geometric hysteresis, as a function of the strain rate, for the design of optimal energy dissipating metamaterials [71].…”

Section: Discussionmentioning

confidence: 99%

Delayed buckling of spherical shells due to viscoelastic knockdown of the critical load

Stein-Montalvo

Coupier

2021

Proc. R. Soc. A.

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We performed dynamic pressure buckling experiments on defect-seeded spherical shells made of a common silicone elastomer. Unlike in quasi-static experiments, shells buckled at ostensibly subcritical pressures, i.e. below the experimentally determined critical load at which buckling occurs elastically, often following a significant delay period from the time of load application. While emphasizing the close connections to elastic shell buckling, we rely on viscoelasticity to explain our observations. In particular, we demonstrate that the lower critical load may be determined from the material properties, which is rationalized by a simple analogy to elastic spherical shell buckling. We then introduce a model centred on empirical quantities to show that viscoelastic creep deformation lowers the critical load in the same predictable, quantifiable way that a growing defect would in an elastic shell. This allows us to capture how both the deflection at instability and the time delay depend on the applied pressure, material properties and defect geometry. These quantities are straightforward to measure in experiments. Thus, our work not only provides intuition for viscoelastic behaviour from an elastic shell buckling perspective but also offers an accessible pathway to introduce tunable, time-controlled actuation to existing mechanical actuators, e.g. pneumatic grippers.

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Tailoring Stress–Strain Curves of Flexible Snapping Mechanical Metamaterial for On‐Demand Mechanical Responses via Data‐Driven Inverse Design

Chai,

Zong,

Yong

et al. 2024

Advanced Materials

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By incorporating soft materials into the architecture, flexible mechanical metamaterials enable promising applications, e.g., energy modulation, and shape morphing, with a well‐controllable mechanical response, but suffer from spatial and temporal programmability towards higher‐level mechanical intelligence. One feasible solution is to introduce snapping structures and then tune their responses by accurately tailoring the stress–strain curves. However, owing to the strongly coupled nonlinearity of structural deformation and material constitutive model, it is difficult to deduce their stress–strain curves using conventional ways. Here, a machine learning pipeline is trained with the finite element analysis data that considers those strongly coupled nonlinearities to accurately tailor the stress–strain curves of snapping metamaterialfor on‐demand mechanical response with an accuracy of 97.41%, conforming well to experiment. Utilizing the established approach, the energy absorption efficiency of the snapping‐metamaterial‐based device can be tuned within the accessible range to realize different rebound heights of a falling ball, and soft actuators can be spatially and temporally programmed to achieve synchronous and sequential actuation with a single energy input. Purely relying on structure designs, the accurately tailored metamaterials increase the devices’ tunability/programmability. Such an approach can potentially extend to similar nonlinear scenarios towards predictable or intelligent mechanical responses.

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Temperature-tunable time-dependent snapping of viscoelastic metastructures with snap-through instabilities

Cited by 23 publications

References 22 publications

The Extreme Mechanics of Viscoelastic Metamaterials

The Extreme Mechanics of Viscoelastic Metamaterials

Delayed buckling of spherical shells due to viscoelastic knockdown of the critical load

Tailoring Stress–Strain Curves of Flexible Snapping Mechanical Metamaterial for On‐Demand Mechanical Responses via Data‐Driven Inverse Design

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