Fuel-Powered Artificial Muscles for the Robotic Soldier

Abstract

Two types of novel actuators that are powered by high-energy-density fuels (hydrogen, methanol, or formic acid fuel combined with air or oxygen) have been experimentally demonstrated in this program. The first type uses a carbon nanotube electrode that simultaneously functions as a muscle, a fuel cell electrode and a supercapacitor electrode. The result is a muscle that converts the chemical energy in the fuel to electrical energy and can use this electrical energy for actuation, store it, or potentially use it for other energy needs of a more complex system. The second type functions as a shorted fuel cell comprising a shape memory alloy, in which the chemical energy in a fuel converts to thermal energy that powers actuation. While the second type of fuel cell muscle provides the most powerful demonstration of the importance of this technology, the first type of fuel cell muscle provides a broader indication of technology scope. Our highest demonstrated actuator stroke and power densities for fuel cell muscles are comparable to natural skeletal muscle, and the generated stresses are over a hundred times higher than for natural muscle. Important information on temperature distribution in the muscles powered by methanol vapor/air mixture was obtained using thermal (infrared) imaging.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2007
Accession Number
ADA482408

Entities

People

  • Ray H. Baughman

Organizations

  • University of Texas at Dallas

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Actuators
  • Alcohols
  • Carbon Nanotubes
  • Cells
  • Complex Systems
  • Electric Power
  • Electrodes
  • Energy
  • Formic Acid
  • Fuel Cells
  • Fullerenes
  • High Energy
  • Methanols
  • Muscles
  • Shape Memory Alloys
  • Skeletal Muscle

Readers

  • Electrical Engineering
  • Immunology and Pathology
  • Nanocomposite Materials Science

Technology Areas

  • AI & ML
  • Autonomy
  • Biotechnology