A study on bifurcation control using pattern recognition of thermal convection

JSME International Journal, Series B: Fluids and Thermal Engineering

Volumn 39, Issue 4, 1996, Pages 762-767

  Iida, Sei Ichi ^a   Ogawara, Kakuji ^a   Furusawa, Satoshi ^b  

^a HOKKAIDO UNIVERSITY   (Japan)

^b NISSAN MOTOR CO   (Japan)

Author keywords

Artificial Neural Network; Chaos; Computational Fluid Dynamics; Incompressible Flow; Thermal Convection; Unsteady Flow

Indexed keywords

BIFURCATION (MATHEMATICS); CHAOS THEORY; COMPUTATIONAL COMPLEXITY; COMPUTATIONAL FLUID DYNAMICS; COMPUTER SIMULATION; FLOW PATTERNS; HEAT CONVECTION; NEURAL NETWORKS; NUMERICAL ANALYSIS; PATTERN RECOGNITION;

BENARD THERMAL CONVECTION; BIMODAL SWITCHING CONTROL; FLOW STATE ESTIMATION; INCOMPRESSIBLE FLOW; RAYLEIGH NUMBER;

UNSTEADY FLOW;

EID: 0030291481     PISSN: 13408054     EISSN: None     Source Type: Journal    
DOI: 10.1299/jsmeb.39.762     Document Type: Article

References (5)

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4. Iida, S., Ogawara, K., Furusawa, S., A Fast Converging Method Using Wobbling Adaptive Control of SOR Relaxation Factor for 2D Benard Convection, Trans. Jpn. Soc. Mech. Eng. (in Japanese), Vol. 60, No. 575, B (1994), p. 2404.
5. Ogawara, K., Iida, S., Azuma, H., Maruyama, T., Numerical Calculation of Incompressible Flow around a Moving Plate with an Adaptive Fuzzy Control Using Chaotic Fluctuation, Trans. Jpn. Soc. Mech. Eng. (in Japanese), Vol. 58, No. 556, B (1992), p. 3573.