Two-phase flow patterns and transitions in a small, horizontal, rectangular channel

Wambsganss, M.W.; Jendrzejczyk, J.A.

doi:10.1016/0301-9322(91)90003-l

Cited by 103 publications

(55 citation statements)

References 9 publications

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“…The transition to annular flow could not be determined from the correlation dimension data. For their plugbubble-to-slug flow transition the result is in good agreement with the result of RMS of dynamic pressure-time signals (Wambsganss et al, 1990(Wambsganss et al, , 1991(Wambsganss et al, , 1992a(Wambsganss et al, and 1992b.From Figs. 9 and 10, we can see there apparently exist changes in the trend of the fractal dimension estimation that can be used to distinguish flow patterns and 13 transitions, as these two-phase flows in small channels are, in fact, deterministic s ys tems .…”

supporting

confidence: 80%

Section: Introductionmentioning

confidence: 99%

“…While visual flow pattern identification may be adequate for some cases, for many situations these methods are inapplicable or too subjective. Several other methods have been developed to more objectively identify and interpret flow pattern and transitions of two phase flow, such as pressure/time signals (Weisman et al, 1979), RMS of pressurehime series and friction pressure gradients (Wambsganss et al, 1991; Wambsganss et al, 1992a and 1992b), the power spectral density function (PSD), probability density function (PDF) (Hubbard and Dukler, 1966;Matsui, 1984 and1986;Tutu, 1982 andVince and Lahey, 1982). These studies have all contributed to understanding of flow patterns and transitions of two-phase flows, but there is no accepted method to objectively distinguish flow patterns.…”

Section: Introductionmentioning

confidence: 99%

“…The full quality covered the range experimentally achievable. The two-phase flow patterns and transitions had been identified by dynamic pressure measurements, together with visual observations and supplemented with photographic data, and flow pattern maps were developed (Wambsganss et al, 1991; Warnbsganss et al, 1992a and 1992b).Usually, the flow pattern maps of two-phase flows are based on visual identification of phase distribution (Clarke and Blundelll989;Brauner and Maron, 1992;Galbiati and Andreini, 1992;Koizumi, 1992 and Hibiki et al, 1992). While visual flow pattern identification may be adequate for some cases, for many situations these methods are inapplicable or too subjective.…”

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confidence: 99%

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Application of Chaos Theory in Identification of Two-Phase Flow Patterns and Transitions in a Small, Horizontal, Rectangular Channel

Cai

Wambsganss

Jendrzejczyk

1996

Journal of Fluids Engineering

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Various measurement tools of chaos theory were applied to analyze twophase 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. IntroductionThis study presents an application of chaos theory in identification of twophase flow patterns and transitions in a small, horizontal, rectangular channel. The data analyzed in this study is from previous experiments (Wambsganss et al., 1991; Wambsganss et al., 1992a and 1992b). In the experiments, horizontal two-phase flow was studied in a small cross-sectional-area (19.05 x 3.18 mm) rectangular channel. Adiabatic flows of aidwater mixtures were tested over a large mass flux 2 range (50 -2000 kg/m%). The full quality covered the range experimentally achievable. The two-phase flow patterns and transitions had been identified by dynamic pressure measurements, together with visual observations and supplemented with photographic data, and flow pattern maps were developed (Wambsganss et al., 1991; Warnbsganss et al., 1992a and 1992b).Usually, the flow pattern maps of two-phase flows are based on visual identification of phase distribution (Clarke and Blundelll989;Brauner and Maron, 1992;Galbiati and Andreini, 1992;Koizumi, 1992 and Hibiki et al., 1992). While visual flow pattern identification may be adequate for some cases, for many situations these methods are inapplicable or too subjective. Several other methods have been developed to more objectively identify and interpret flow pattern and transitions of two phase flow, such as pressure/time signals (Weisman et al., 1979), RMS of pressurehime series and friction pressure gradients (Wambsganss et al., 1991; Wambsganss et al., 1992a and 1992b), the power spectral density function (PSD), probability density function (PDF) (Hubbard and Dukler, 1966;Matsui, 1984 and1986;Tutu, 1982 andVince and Lahey, 1982). These studies have all contributed to understanding of flow patterns and transitions of two-phase flows, but there is no accepted method to objectively distinguish flow patterns.The purpose of this study is to apply the chaos theory on experimental data of dynamic pressure-to-time signals of two-phase flows in an attempt to identify and interpret flow pattern transitions. This new approach may present a promising way in identification of flow patterns.Chaotic oscillations are the emergence of randomlike motions from completely deterministic systems. Such motions had been known in fluid mechanics, but they have only recently ...

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supporting

confidence: 80%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

Application of Chaos Theory in Identification of Two-Phase Flow Patterns and Transitions in a Small, Horizontal, Rectangular Channel

Cai

Wambsganss

Jendrzejczyk

1996

Journal of Fluids Engineering

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“…1, ANL (Argonne National Laboratory) [7][8][9] designed a sleeve cylinder dryer in order to solve this problem. The steam enters the dryer from one side and enters the sleeve from another side.…”

mentioning

confidence: 99%

Study on the Influence of Structural Parameters of Multi-channel Cylinder Dryer on Heat Transfer Performance

Yan¹,

Ji-xian²

2017

JEPE

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An approach to design multi-channel cylinder dryer was proposed. The heat transfer performance and flow characteristic under various structural parameters were analyzed. First, an experiment was designed and set up to measure the condensing heat transfer coefficient and the pressure drop in order to verify the applicability of the Cavallini's correlation. Then, the relationship among the count of channels, aspect ratio, spacing ratio, width, height and hydraulic diameter of a channel was given. Finally, the correlation of condensing heat transfer and the homogeneous model was introduced in order to observe the heat transfer performance and flow characteristic of the multi-channel cylinder dryer affected by different structures. The study reveals that the structural parameters including count of channels, aspect ratio, spacing ratio of a channel dramatically influence the condensation heat transfer coefficient and frictional resistance of the steam. Based on the selected paper machine, it is suggested that the overall performance of the multi-channel cylinder dryer is best if the count of channels is 150-200, the aspect ratio is 1 : 3 and the spacing ratio is 1 : 1-1 : 3.

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Gas‐Liquid Flow Patterns in a Rectangular Milli‐Structured Channel with Static Mixing Elements

Denker

Herbstritt²,

Heck³

et al. 2022

Chem Eng & Technol

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The gas-liquid flow behavior through a milli-scaled channel provided with a staggered herringbone-like static mixer was investigated using high-speed recordings. For three different substance systems consisting of water, 5 wt % acetic acid in aqueous solution, and propylene glycol as liquid phase and nitrogen as gas phase, flow patterns and their transitions were determined by analyzing image sequences of the flow and summarized in flow pattern maps. Surge flow, slug flow, and bubbly flow were observed at different flow rates. The flow distribution and transitions between flow patterns mainly depend on the viscosity and surface tension of the liquid phase. By just reducing the surface tension, slug flow is not observed, and thus an early transition into a bubbly flow regime takes place. An increase in viscosity counteracts this effect.

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Two-phase flow patterns and transitions in a small, horizontal, rectangular channel

Cited by 103 publications

References 9 publications

Application of Chaos Theory in Identification of Two-Phase Flow Patterns and Transitions in a Small, Horizontal, Rectangular Channel

Application of Chaos Theory in Identification of Two-Phase Flow Patterns and Transitions in a Small, Horizontal, Rectangular Channel

Study on the Influence of Structural Parameters of Multi-channel Cylinder Dryer on Heat Transfer Performance

Gas‐Liquid Flow Patterns in a Rectangular Milli‐Structured Channel with Static Mixing Elements

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