Application of chaos theory in identification of two-phase flow patterns and transitions in a small, horizontal, rectangular channel

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Various measurement tools of chaos theory were applied to analyze two-phase pressure signals with the objective to identify and interpret flow pattern transitions for two-phase flows in a small, horizontal rectangular channel. These measurement tools included power spectral density function, autocorrelation function, pseudo-phase-plane trajectory, Lyapunov exponents, and fractal dimensions. It was demonstrated that the randomlike pressure fluctuations characteristic of two-phase flow in small rectangular channels are chaotic in nature. As such, they are governed by a high-order deterministic system. The correlation dimension is potentially a new approach for identification of certain two-phase flow patterns and transitions.

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29 p.

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Cai, Y.; Wambsganss, M.W. & Jendrzejczyk, J.A. February 1, 1996.

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Various measurement tools of chaos theory were applied to analyze two-phase pressure signals with the objective to identify and interpret flow pattern transitions for two-phase flows in a small, horizontal rectangular channel. These measurement tools included power spectral density function, autocorrelation function, pseudo-phase-plane trajectory, Lyapunov exponents, and fractal dimensions. It was demonstrated that the randomlike pressure fluctuations characteristic of two-phase flow in small rectangular channels are chaotic in nature. As such, they are governed by a high-order deterministic system. The correlation dimension is potentially a new approach for identification of certain two-phase flow patterns and transitions.

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29 p.

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OSTI as DE96007511

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  • Other Information: PBD: [1996]

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  • February 1, 1996

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  • June 29, 2015, 9:42 p.m.

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  • Dec. 14, 2015, 4:49 p.m.

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Cai, Y.; Wambsganss, M.W. & Jendrzejczyk, J.A. Application of chaos theory in identification of two-phase flow patterns and transitions in a small, horizontal, rectangular channel, report, February 1, 1996; Illinois. (https://digital.library.unt.edu/ark:/67531/metadc665264/: accessed May 29, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT Libraries Government Documents Department.

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