MRS Meetings and Events

 

SB12.13.07 2022 MRS Fall Meeting

PRESENTED ON-DEMAND ONLY: Understanding Continues Force/Energy-Displacement Path of Multistable Metamaterials to Program Their Functionalities

When and Where

Dec 7, 2022
10:00am - 10:15am

SB12-virtual

Presenter

Co-Author(s)

Hossein Mofatteh1,Benyamin Shahryari1,Armin Mirabolghasemi1,Hamid Akbarzadeh1

McGill1

Abstract

Hossein Mofatteh1,Benyamin Shahryari1,Armin Mirabolghasemi1,Hamid Akbarzadeh1

McGill1
Mechanical metamaterials are designed to show properties that do not exist in conventional materials. Bistability and multistability as unconventional properties have recently been realized in alternative architectures, such as an inclined beam, curved beam, shallow shells, Origami, and shellulars. Using multistable mechanical metamaterials to develop deployable structures, electrical devices, and mechanical memories raises two unanswered questions. First, can mechanical instability be programmed to design sensors and memory devices? Second, how can we tune mechanical properties at the post-fabrication stage via loading/unloading? Answering these questions requires a thorough understanding of the snapping sequences and variations of the elastic energy in multistable metamaterials. Herein, we model multistable metamaterials as a chain to be transformed into the desired shape by applying deformation on one point. We develop an algorithm based on the snapping sequences for modeling a chain composed of bistable cells. Its solution provides a continuous path with all possible configurations and snap-back released energy. Furthermore, by investigating a 1D chain, we found instability forces are deriving factors of snapping sequence. It has been shown that the order of instability forces determines how many configurations are achievable. We comprehensively unveil the mechanics of deformation sequences and continuous force/energy-displacement curves. This method offers an insight into the programmability of multistable chains, which is exploited here to fabricate a mechanical sensor/memory with sampling and data reconstruction functionalities.

Keywords

microstructure

Symposium Organizers

Piero Cosseddu, University of Cagliari
Lucia Beccai, Istituto Italiano di Tecnologia
Ingrid Graz, Johannes Kepler University
Darren Lipomi, University of California, San Diego

Symposium Support

Bronze
Materials Horizons

Publishing Alliance

MRS publishes with Springer Nature