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.
Copyright Owner
Society of Photo-Optical Instrumentation Engineers (SPIE)
Copyright Date
2019
Language
en
File Format
application/pdf
Recommended Citation
Bartlett, Michael D.; Markvicka, Eric J.; Tutika, Ravi; and Majidi, Carmel, "Soft-matter damage detection systems for electronics and structures" (2019). Materials Science and Engineering Publications. 327.
https://lib.dr.iastate.edu/mse_pubs/327
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.