A Second Generation Multiphase-CFD Framework Toward Predictive Modeling of DNB

Baglietto, Emilio; Demarly, Etienne; Kommajosyula, Ravikishore; Lubchenko, Nazar; Magolan, Ben; Sugrue, Rosie

doi:10.1080/00295450.2018.1517528

Cited by 13 publications

(2 citation statements)

References 41 publications

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“…To calculate the interfacial terms, we also need the bubble/droplet Sauter mean diameter, which is previously used in the literature related to subcooled boiling [28,32,33] and is the default choice to represent a bubble size in OpenFOAM. Nevertheless, due to reasons explained below in detail, we consider the influence of particles' diameters out of this article's scope.…”

Section: Interfacial Termsmentioning

confidence: 99%

Film Boiling Conjugate Heat Transfer during Immersion Quenching

Kamenický

Frank²,

Drikakis

et al. 2022

Energies

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Boiling conjugate heat transfer is an active field of research encountered in several industries, including metallurgy, power generation and electronics. This paper presents a computational fluid dynamics approach capable of accurately modelling the heat transfer and flow phenomena during immersion quenching: a process in which a hot solid is immersed into a liquid, leading to sudden boiling at the solid–liquid interface. The adopted methodology allows us to couple solid and fluid regions with very different physics, using partitioned coupling. The energy equation describes the solid, while the Eulerian two-fluid modelling approach governs the fluid’s behaviour. We focus on a film boiling heat transfer regime, yet also consider natural convection, nucleate and transition boiling. A detailed overview of the methodology is given, including an analytical description of the conjugate heat transfer between all three phases. The latter leads to the derivation of a fluid temperature and Biot number, considering both fluid phases. These are then employed to assess the solver’s behaviour. In comparison with previous research, additional heat transfer regimes, extra interfacial forces and separate energy equations for each fluid phase, including phase change at their interface, are employed. Finally, the validation of the computational approach is conducted against published experimental and numerical results.

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Section: Interfacial Termsmentioning

confidence: 99%

Film Boiling Conjugate Heat Transfer during Immersion Quenching

Kamenický

Frank²,

Drikakis

et al. 2022

Energies

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“…This process is referred to as quenching) and liquid convection. In recent years, researchers extended the HFP model by considering other phenomena like bubble sliding [11] and heat transfer to vapor [12,13]. The HFP models, where heat transfer to vapor is considered only after reaching a preset condition based on the vapor fraction, are widely used to predict DNB in tubes and rod bundles.…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation of Departure from Nucleate Boiling in Rod Bundles under High-Pressure Conditions

Vadlamudi

Nayak

2022

Fluids

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In subcooled boiling flows beyond a certain heat flux, heat transfer is hampered due to a phenomenon known as Departure from Nucleate Boiling (DNB). Conducting DNB experiments at one-to-one nuclear reactor operating conditions is highly challenging and expensive. Another alternative approach is to use Look-up table data. However, its applicability is limited due to its dependence on rod bundle correction factors. In the present investigation, a state-of-the-art Eulerian-Eulerian two-fluid model coupled with an extended heat flux partitioning model is used to predict DNB in tubes and rod bundles with square and hexagonal lattices (relevant to Pressurized Water Reactors). In this approach, bubble departure characteristics are modeled using semi-mechanistic models based on force balance analysis. The predicted DNB values are compared with experimental and Look-up table data and found out to be within 1.8% to 20%.

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