Review: Condensation regime maps of steam submerged jet condensation

Zhao, Quanbin; Hibiki, Takashi

doi:10.1016/j.pnucene.2017.12.014

Cited by 54 publications

(16 citation statements)

References 28 publications

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“…The most appropriate comparison available is to experimental data in the engineering field of direct contact condensation (DCC) (Aya & Nariai, 1991; Chun et al., 1996; Hong et al., 2012; Mazed et al., 2018; Meng et al., 2019; Xu et al., 2018; Zhao & Hibiki, 2018). Direct contact heat transfer focuses on the condition when two fluids, typically immiscible, exchange heat directly rather than through a wall or boundary (Zhao & Hibiki, 2018). Examples include the situation where one fluid is introduced into another of contrasting temperature.…”

Section: Methodsmentioning

confidence: 99%

“… DCC regime map modified from Figure 3 in Zhao and Hibiki (2018). Black curves separate jet morphology regimes aggregated in Zhao and Hibiki (2018). Regime abbreviations: C , chugging; HBO, hemispherical bubble oscillation; CO, condensation oscillation; SC, stable condensation; NC, no condensation.…”

Section: Methodsmentioning

confidence: 99%

“…Regime abbreviations: C , chugging; HBO, hemispherical bubble oscillation; CO, condensation oscillation; SC, stable condensation; NC, no condensation. Transition zones (e.g., C/HBO) are defined based on the variability in interfaces across studies and conditions aggregated in the review by Zhao and Hibiki (2018). Data from this study are plotted as filled circles with color corresponding to the regime identified in the simulation.…”

Section: Methodsmentioning

confidence: 99%

“…The oscillation amplitude and frequency of these interfacial pressure waves pri-CAHALAN AND DUFEK 10.1029/2020JB020969 marily control hydrodynamic instabilities, mixing, and entrainment at the jet interface (Chun et al, 1996;Khan et al, 2014;Zhao & Hibiki, 2018). Small scale gas jets in engineering applications have provided some guidance on these dynamics (Zhao & Hibiki, 2018). At low mass flux and/or high water temperature, pressure oscillation amplitude is high, oscillation frequency is low resulting in wavering and collapsing, unstable jets.…”

Section: Steam Condensation In Eruptionsmentioning

confidence: 99%

“…Yet even at these conditions rapid condensation occurs along the jet-water interface and yields steep, localized pressure gradients that are promptly relaxed. The oscillation amplitude and frequency of these interfacial pressure waves pri-CAHALAN AND DUFEK 10.1029/2020JB020969 marily control hydrodynamic instabilities, mixing, and entrainment at the jet interface (Chun et al, 1996;Khan et al, 2014;Zhao & Hibiki, 2018). Small scale gas jets in engineering applications have provided some guidance on these dynamics (Zhao & Hibiki, 2018).…”

Section: Steam Condensation In Eruptionsmentioning

confidence: 99%

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Explosive Submarine Eruptions: The Role of Condensable Gas Jets in Underwater Eruptions

Cahalan

Dufek

2021

JGR Solid Earth

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Both subaerial and submarine explosive volcanic eruptions have the capacity to produce high velocity gas jets where fragmented particle-gas mixtures are ejected with significant inertia inherited from conduit processes (e.g. Woods, 1995). In this jet-thrust region, the particle-laden gas rises and loses kinetic energy through drag, gravitational deceleration, and turbulent mixing with the ambient fluid. Subaerial jet-thrust dynamics have been extensively studied through remote observations, experiments, and numerical simulations (

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Steam Condensation In Eruptionsmentioning

confidence: 99%

Section: Steam Condensation In Eruptionsmentioning

confidence: 99%

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Explosive Submarine Eruptions: The Role of Condensable Gas Jets in Underwater Eruptions

Cahalan

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2021

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An objective classification of condensation regimes in direct contact condensation

et al. 2023

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Intensified heat treatment, using direct contact condensation (DCC), is applied in the production of dairy products to ensure a high level of food safety. The key challenge with DCC is the fouling due to the protein reactions that limits operational efficiency and sustainability. Using a condensation regime map can improve operational decision‐making. Pilot plant scale experiments were conducted for a wide range of steam mass fluxes and inlet temperatures at high and low channel pressures. High‐speed images were recorded and analyzed to obtain penetration lengths and plume area. The experimental data and image analysis supplemented with temperature and pressure measurement, were processed using machine learning (ML) to develop a data driven model to predict the regime maps. The linear discriminant analysis (LDA) was found to be the most suitable model. From the ML models it was also found that the best parameters to make a condensation regime map are the steam pressure, channel pressure, subcooling temperature, water Prandtl number, and the relative velocity ratio between gas and liquid. The condensation outcomes were presented with various two‐dimensional regime maps. New regime maps are proposed using the Prandtl number and velocity ratio as dimensionless parameters.

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