Simulation of boiling heat transfer in small heaters by a coupled cellular and geometrical automata

Marcel, Christian Pablo; Bonetto, F.; Clausse, Alejandro

doi:10.1007/s00231-010-0667-6

Cited by 7 publications

(5 citation statements)

References 31 publications

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“…Following previous versions of the model, a population of free bubbles in the control volume attached to the heater is simulated by means of geometrical automata [25,39]. Each free bubble is codified as an automaton represented by a sphere.…”

Section: Bubble Automatamentioning

confidence: 99%

“…where r b is the bubble radius, r c is a critical radius. In the present case, we used the value r c = 1.8-mm, calibrated for water vapor bubbles at atmospheric pressure by Marcel et al [39] .…”

Section: Bubble Automatamentioning

confidence: 99%

“…To overcome this problem, Herrero et al [25] proposed the concept of geometric automata, where bubbles are simulated as an assem-bly of disks that interact according to simple rules. Marcel et al [39] applied the concept to produce a 3D model of automata for pool boiling heat transfer consisting in collections of virtual spheres. The model showed good results for simulating boiling heat transfer, bubble formation, and critical heat flux, in small heaters.…”

Section: Introductionmentioning

confidence: 99%

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Numerical investigation into the effect of surface wettability in pool boiling heat transfer with a stochastic-automata model

Marcel

Clausse

Frankiewicz

et al. 2017

International Journal of Heat and Mass Transfer

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Section: Bubble Automatamentioning

confidence: 99%

Section: Bubble Automatamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Numerical investigation into the effect of surface wettability in pool boiling heat transfer with a stochastic-automata model

Marcel

Clausse

Frankiewicz

et al. 2017

International Journal of Heat and Mass Transfer

Self Cite

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“…The mechanism of heat conduction is essential for research on the types of phase change in liquids [1][2][3][4][5][6][7][8][9][10], which is an important topic in materials science and nanotechnology [1][2][3]. For boiling, the Nukiyama curve [11] clearly describes the regime theoretically based on thermal conduction rate, and the film-boiling regime under an extremely large temperature difference is related to some novel thermal phenomena.…”

Section: Introductionmentioning

confidence: 99%

Boiling after immersion of a superheated object in a quasi-adiabatic system and the bulk effect of heat transfer

et al. 2013

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After a comparatively superheated object is immersed in a liquid in a quasi-adiabatic system, a second vigorous boiling takes place spontaneously while the normal one is fading out. This phenomenon is caused by the transition of the boiling regime (i.e. the breaking of the Leidenfrost layer). Based on this, a semiquantitative model is developed to describe the thermal conduction behavior. Experimental correlations between the twice-boiling intervals and the influential parameters are used to test the validity of the theory. To simplify consideration of the bulk effect caused by the inhomogeneity of the temperature field, we propose a dimensionless rectification coefficient, the bulk effect rectification coefficient, related to the characteristic parameter ξ , that will be of value for engineering applications.

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“…However, bubbles were treated as two-dimensional disks, and bubble expansion during ascent through the column was not considered, such that the validation of the model by comparison with actual experiments is quite controversial. The model from Herrero et al [1996] seems to have gone unnoticed until Marcel et al [2011] used the same ideas to simulate boiling processes in square-section channels. Other agent-based models have been proposed, but they are restricted to the simulation of Taylor bubbles in pure slug flow [e.g., Barnea and Taitel, 1993;Mayor et al, 2008].…”

Section: Agent-based Model Of a Bubble Columnmentioning

confidence: 99%

On the dynamics of persistently degassing volcanoes from new physics-based approaches

Girona¹

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Persistently degassing volcanoes are the most active sub-aerial volcanoes around the world. Their activity consists of passive degassing periods interspersed by eruptions every few months or years. I present three new physics-based studies that unravel the underlying dynamics of these volcanoes. First, I calculate the pressure changes induced by the gas release during quiescence. A key finding is that magma reservoirs can depressurize several MPa within the inter-eruptive timescales, which suggests that passive degassing can induce unrest episodes and eruptions. Second, I develop a method to monitor the high-frequency water vapor emissions using light scattering theory and analysis of digital images. I show that degassing of Erebus and Mayon volcanoes emerges as a fractal phenomenon. Third, I simulate the bubble dynamics of volcanic conduits to investigate the processes leading to phreatic eruptions. I found that they can be preceded by amplitude and frequency shifts in the gas emission time series. These studies give new insights on the dynamics of persistently degassing volcanoes, and help to improve the monitoring and interpretation of degassing time series. Table 1. Mean inter-eruptive time of persistently degassing volcanoes. Volcano* Mean inter-eruptive time since 1900(months) Number of intereruptive times Oshima 25 27 Bromo 45 24 Aso 12 46 Slamet 32 20 Poás 18 24 Telica 29 23 Merapi 30 17 Langila 11 18 Kilauea 18 28 Manam 18 13 White island 17 12 Láscar 18 14 Llaima 29 16 Tangkubanparahu 94 11 Asama 21 36 San Cristóbal 13 13 Etna 8 35 Fuego 41 16 Ulawun 21 22-6-Improving eruption forecasting requires unveiling the volcanic processes occurring during quiescent degassing and unrest episodes, for which monitoring of the amount, composition, and style of the gas emissions is fundamental [e.g., Symonds et al., 1994; Aiuppa et al., 2007]. Tracking the gas emissions can be performed nowadays in real-time by using remote-sensing techniques. For example, SO 2 fluxes can be routinely measured in real-time from remote distances by using ultraviolet cameras [e.g., Tamburello et al., 2013], or by determining the absorption of the ultraviolet radiation by the gas plume with instruments like DOAS (differential optical absorption spectrometers) [e.g., Oppenheimer and Kyle, 2008]. The ratios between SO 2 and other gases can be also measured by using systems like OP-FTIR (open-path Fourier transform infrared spectrometry) or Multi-GAS, even though their use is limited to easily accessible volcanoes where the instruments can be placed at the proximities of the crater vent [e.g., Burton et al., 2000; Shinohara, 2005]. The application of these real-time remote-sensing techniques reveals for example that persistently degassing volcanoes emit several thousand tonnes of gas per day, mainly H 2 O (~ 50-90 wt%), CO 2 (~ 20-50 wt%) and SO 2

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Simulation of boiling heat transfer in small heaters by a coupled cellular and geometrical automata

Cited by 7 publications

References 31 publications

Numerical investigation into the effect of surface wettability in pool boiling heat transfer with a stochastic-automata model

Numerical investigation into the effect of surface wettability in pool boiling heat transfer with a stochastic-automata model

Boiling after immersion of a superheated object in a quasi-adiabatic system and the bulk effect of heat transfer

On the dynamics of persistently degassing volcanoes from new physics-based approaches

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