A Study on Bifurcation Control Using Pattern Recognition of Thermal Convection

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概要

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• The Benard thermal convection field is known to have multiple solutions for a certain Rayleigh number condition. This means that several convection flow patterns can be stably sustained without an external control force. This study demonstrates that bimodal switching control is possible by means of flow state estimation. A neural network was used to recognize the transition state of the convection flow pattern. In order to change the flow pattern, an unstable feature of Benard convection was utilized. That is, the chaotic nature of wobbling around multiple solutions contributes to fast switching between stable modes. Numerical simulations were carried out to show the ability of the current control method.

• 一般社団法人日本機械学会の論文
• 1996-11-15

著者

• Iida Sei-ichi

  Faculty Of Engineering Hokkaido University

• Ogawara Kakuji

  Faculty Of Engineering Hokkaido University

• Furusawa Satoshi

  Nissan Motor Co., Ltd

• Furusawa Satoshi

  Nissan Motor Co. Ltd

• Iida Sei-ichi

  Faculty of Mechanical Engineering II, Hokkaido University

• Ogawara Kakuji

  Faculty of Mechanical Engineering II, Hokkaido University

関連論文

• Numerical Simulation of Jets Emitted into a Two-Dimensional Channel with Self-Induced Oscillation : Active Control by Neural Network Observer
• A Study on Bifurcation Control Using Pattern Recognition of Thermal Convection
• Coherent Structures in a Fully Developed Turbulent Pipe Flow
• Generation of Curvilinear Coordinate System Having Arbitrary Line Densities
• A Study on Chaotic Mixing in 2D Cavity Flows : Effects of Reynolds Number and Amplitude of Lid Velocity
• Unsteady 3-Dimensional Calculation of the Flow between Concentric Rotating Cylinders

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