Computer Science ETDs
Publication Date
Fall 11-15-2021
Abstract
This thesis describes a set of novel techniques for embedding sensors, circuitry, and electronics into structural composites. I leverage recent developments in human computer interaction to create sensors and circuitry that are seamlessly incorporated into structural composites. I fabricate bend and compression sensors, along with circuitry, from textiles, which enables me to add electronic capabilities without impacting the composite’s structural integrity. I describe the construction of these “cognizant composites” and demonstrate their functionality. I also explore techniques for embedding standard electronic components, including microcontrollers, into structural composites. Potential applications of this technology include buildings that can warn occupants if load-bearing components are experiencing unexpected strain, bridges that can document traffic patterns, and delicate structures, like satellites, that can detect and perhaps control their own shape.
Language
English
Keywords
Fabrication, Infrastructure, Sensors, Smart Environments, Connected Home, Human Computer Interaction, HCI
Document Type
Thesis
Degree Name
Computer Science
Level of Degree
Masters
Department Name
Department of Computer Science
First Committee Member (Chair)
Leah Buechley
Second Committee Member
Gruia-Catalin Roman
Third Committee Member
Mahmoud Reda Taha
Recommended Citation
Fresquez, Reuben. "Cognizant Composites: Seamless Integration of Circuitry and Sensors into Structural Composites." (2021). https://digitalrepository.unm.edu/cs_etds/112