Distributed Turbulent Flow Control by MEMS Integrated With Neural Networks

Abstract

We have developed new fabrication techniques that can allow the formerly incompatible CMOS and MEMS devices to be integrated onto a single chip. This achievement leads to the M3 system, which consists of monolithically integrated sensor-logics-actuator. The M3 system can be used to control the wall streaks in a turbulent boundary. Experimentation work revealed and solved many of the problems associated with having electronic devices work in close proximity with each other and is progressing on the efforts to develop a control system using a neural network logic. Implementation of the network as well as a more general, fully adaptive neural network onto electronic circuitry has been accomplished. Finally, CFD studies have been performed which reveals and explains the mechanisms at work in the interaction between an oscillating flap and the turbulent boundary layer.

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Document Details

Document Type
Technical Report
Publication Date
Jan 26, 2000
Accession Number
ADA387477

Entities

People

  • Chih Ming Ho
  • John J Kim
  • Rod Goodman
  • Yu Chong Tai

Organizations

  • University of California, Los Angeles

Tags

Communities of Interest

  • Advanced Electronics
  • Sensors

DTIC Thesaurus Topics

  • Boundary Layer
  • Ceramic Materials
  • Computational Fluid Dynamics
  • Computational Science
  • Control Systems
  • Electronics
  • Fabrication
  • Flow
  • Fluid Dynamics
  • Hypervelocity Flow
  • Measurement
  • Microelectromechanical Systems
  • Neural Networks
  • Resonant Frequency
  • Turbulent Boundary Layer
  • Turbulent Flow
  • Two Dimensional

Readers

  • Fluid Mechanics and Fluid Dynamics.
  • Integrated Circuit Design and Technology.
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks
  • Microelectronics
  • Microelectronics - Microelectromechanical Systems