• Featured in Physics

Modular and programmable material systems drawing from the architecture of skeletal muscle

Narayanan Kidambi, Ryan L. Harne, and Kon-Well Wang
Phys. Rev. E 98, 043001 – Published 9 October 2018
Physics logo See Synopsis: Programmable Material Inspired by Muscle
PDFHTMLExport Citation

Abstract

The passive attributes of skeletal muscle “material” often have origins in nanoscale architecture and functionality where geometric frustrations directly influence macroscale mechanical properties. Drawing from concepts of the actomyosin network, this study investigates a modular, architected material system that leverages spatial constraints to generate multiple stable material topologies and to yield large adaptability of material mechanical properties. By exploiting the shearing actions induced on an actomyosin-inspired assembly of modular material constituents, intriguing material behaviors are cultivated, including strong metastability and energy-releasing state transitions. Experimental, numerical, and analytical studies reveal that such passive attributes can be tailored by geometric constraints imposed on the modular material system. The geometric parameters can also introduce a bias to the deformations, enabling a programmable response. By invoking the spatial constraints and oblique, shearlike motions inherent to skeletal muscle architecture, this research uncovers potential for architected material systems that exploit locally tunable properties to achieve targeted macroscopic behaviors.

  • Figure
  • Figure
  • Figure
  • Figure
  • Figure
  • Figure
  • Figure
6 More
  • Received 28 June 2018

DOI:https://doi.org/10.1103/PhysRevE.98.043001

©2018 American Physical Society

Physics Subject Headings (PhySH)

Polymers & Soft MatterCondensed Matter, Materials & Applied Physics

Synopsis

Key Image

Programmable Material Inspired by Muscle

Published 9 October 2018

A specially designed modular material can adopt many force-generating and energy-storing postures, which could be useful for soft robotics.

See more in Physics

Authors & Affiliations

Narayanan Kidambi1,*, Ryan L. Harne2, and Kon-Well Wang1

  • 1Department of Mechanical Engineering, University of Michigan, 2350 Hayward Street, Ann Arbor, Michigan 48109, USA
  • 2Department of Mechanical and Aerospace Engineering, The Ohio State University, 201 West 19th Avenue, Columbus, Ohio 43210, USA

  • *Present address: Narayanan Kidambi, 2350 Hayward St., 2223 GG Brown Building, Ann Arbor, MI 48109, USA; kidambi@umich.edu

Article Text (Subscription Required)

Click to Expand

Supplemental Material (Subscription Required)

Click to Expand

References (Subscription Required)

Click to Expand
Issue

Vol. 98, Iss. 4 — October 2018

Reuse & Permissions
Access Options
CHORUS

Article Available via CHORUS

Download Accepted Manuscript
Author publication services for translation and copyediting assistance advertisement

Authorization Required


×
×

Images

×

Sign up to receive regular email alerts from Physical Review E

Log In

Cancel
×

Search


Article Lookup

Paste a citation or DOI

Enter a citation
×