Impact of Heater Thermal Properties on Nucleate Pool Boiling: Insights from a Multiscale Automata Simulation

Fuente: arXiv
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Main Authors: Mazzitello, Karina I., Blanco, T. Molina, Marcel, C. P., Masson, V. P.
Format: Preprint
Published: 2025
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author Mazzitello, Karina I.
Blanco, T. Molina
Marcel, C. P.
Masson, V. P.
author_facet Mazzitello, Karina I.
Blanco, T. Molina
Marcel, C. P.
Masson, V. P.
contents This study investigates the influence of heater material properties on nucleate pool boiling using a comprehensive simulation model. Copper and silicon oxide are selected as reference materials due to their properties as excellent and poor heat conductors, respectively. The model integrates well-known heat transfer mechanisms, allowing for the assessment of the effects of these distinct heater materials. The results show that materials with superior thermal diffusivity, such as copper, significantly enhance cooling efficiency during nucleate boiling. Moreover, the study provides insights into the relationship between bubble growth, microlayer recovery beneath a bubble, temperature fluctuations, and heater properties. Comparisons between copper and silicon oxide underscore variations in bubble frequency, attributed to differences in bubble growth time, microlayer recovery time, and material-dependent behavior. The influence of neighboring boiling sites is especially pronounced in silicon oxide due to its low thermal conductivity and diffusivity values. Temperature variations in this material become highly visible due to its very slow response to temperature changes. Simulation results align well with semi-empirical correlations, confirming the model's success in capturing the intricate phenomena of nucleate pool boiling. In summary, the model reveals that changes in the thermal properties of the heater affect not only boiling performance but also key characteristics of the process, including bubble frequency, boiling patterns, regularity, and cavity reactivation speed.
format Preprint
id arxiv_https___arxiv_org_abs_2512_17876
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Impact of Heater Thermal Properties on Nucleate Pool Boiling: Insights from a Multiscale Automata Simulation
Mazzitello, Karina I.
Blanco, T. Molina
Marcel, C. P.
Masson, V. P.
Soft Condensed Matter
This study investigates the influence of heater material properties on nucleate pool boiling using a comprehensive simulation model. Copper and silicon oxide are selected as reference materials due to their properties as excellent and poor heat conductors, respectively. The model integrates well-known heat transfer mechanisms, allowing for the assessment of the effects of these distinct heater materials. The results show that materials with superior thermal diffusivity, such as copper, significantly enhance cooling efficiency during nucleate boiling. Moreover, the study provides insights into the relationship between bubble growth, microlayer recovery beneath a bubble, temperature fluctuations, and heater properties. Comparisons between copper and silicon oxide underscore variations in bubble frequency, attributed to differences in bubble growth time, microlayer recovery time, and material-dependent behavior. The influence of neighboring boiling sites is especially pronounced in silicon oxide due to its low thermal conductivity and diffusivity values. Temperature variations in this material become highly visible due to its very slow response to temperature changes. Simulation results align well with semi-empirical correlations, confirming the model's success in capturing the intricate phenomena of nucleate pool boiling. In summary, the model reveals that changes in the thermal properties of the heater affect not only boiling performance but also key characteristics of the process, including bubble frequency, boiling patterns, regularity, and cavity reactivation speed.
title Impact of Heater Thermal Properties on Nucleate Pool Boiling: Insights from a Multiscale Automata Simulation
topic Soft Condensed Matter
url https://arxiv.org/abs/2512.17876