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Soft-matter damage detection systems for electronics and structures
Author(s): Michael D. Bartlett; Eric J. Markvicka; Ravi Tutika; Carmel Majidi
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Paper 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.

Paper Details

Date Published: 1 April 2019
PDF: 8 pages
Proc. SPIE 10971, Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XIII, 1097112 (1 April 2019); doi: 10.1117/12.2514311
Show Author Affiliations
Michael D. Bartlett, Iowa State Univ. of Science and Technology (United States)
Eric J. Markvicka, Univ. of Nebraska-Lincoln (United States)
Ravi Tutika, Iowa State Univ. of Science and Technology (United States)
Carmel Majidi, Carnegie Mellon Univ. (United States)


Published in SPIE Proceedings Vol. 10971:
Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XIII
Andrew L. Gyekenyesi, Editor(s)

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