Presentation + Paper
1 April 2019 Soft-matter damage detection systems for electronics and structures
Author Affiliations +
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.
Conference Presentation
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michael D. Bartlett, Eric J. Markvicka, Ravi Tutika, and Carmel Majidi "Soft-matter damage detection systems for electronics and structures", Proc. SPIE 10971, Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XIII, 1097112 (1 April 2019); https://doi.org/10.1117/12.2514311
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Damage detection

Composites

Electronics

Robotics

Sensors

Active remote sensing

Liquids

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