Campus Units

Materials Science and Engineering

Document Type

Article

Publication Version

Published Version

Publication Date

4-1-2019

Journal or Book Title

Proceedings of SPIE

Volume

10971

First Page

1097112

DOI

10.1117/12.2514311

Abstract

Soft-matter technologies are essential for emerging applications in wearable computing, human-machine interaction, and soft robotics. However, as these technologies gain adoption in society and interact with unstructured environments, material and structure damage becomes inevitable. Here, we present a robotic material that mimics soft tissues found in biological systems to identify, compute, and respond to damage. This system is composed of liquid metal droplets dispersed in soft elastomers that rupture when damaged, creating electrically conductive pathways that are identified with a soft active-matrix grid. This presents new opportunities to autonomously identify damage, calculate severity, and respond to prevent failure within robotic systems.

Comments

This article is published as Bartlett, Michael D., Eric J. Markvicka, Ravi Tutika, Carmel Majidi, "Soft-matter damage detection systems for electronics and structures." Proceedings of SPIE, Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XIII 10971 (2019): 1097112. DOI: 10.1117/12.2514311. Posted with permission.

Copyright Owner

Society of Photo-Optical Instrumentation Engineers (SPIE)

Language

en

File Format

application/pdf

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