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Stochastic Modeling of a High Speed Composite Flywheel for Energy Storage

[+] Author Affiliations
Matthew E. Riley

Rose-Hulman Institute of Technology, Terre Haute, IN

Justin Pettingill

University of Idaho, Moscow, ID

Paper No. IMECE2018-86484, pp. V012T11A032; 8 pages
  • ASME 2018 International Mechanical Engineering Congress and Exposition
  • Volume 12: Materials: Genetics to Structures
  • Pittsburgh, Pennsylvania, USA, November 9–15, 2018
  • Conference Sponsors: ASME
  • ISBN: 978-0-7918-5217-0
  • Copyright © 2018 by ASME


This work will demonstrate the development and experimental validation of the stochastic models to predict the composite material’s mechanical and electromagnetic response as a function of the constituent reinforcing materials. First, stochastic micromechanics models will be developed for the case of multiple disparate supporting materials. These micromechanics models will then be validated against traditional finite element models and experimental results over the feasible parameter space. The developed models will then be utilized to define the optimal geometry of the composite flywheel including constraints such as displacement, stress, flux, magnetic field density, and manufacturability.

Copyright © 2018 by ASME



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