Abstract
In this work, we present a dynamical theory of boiling based on fluctuating hydrodynamics and the diffuse interface approach. The model is able to describe boiling from the stochastic nucleation up to the macroscopic bubble dynamics. It covers, with a modest computational cost, the mesoscale area from nano to micrometers, where most of the controversial observations related to the phenomenon originate. In particular, the role of wettability in the macroscopic observables of boiling is elucidated. In addition, by comparing the ideal case of boiling on ultra-smooth surfaces with a chemically heterogeneous wall, our results will definitively shed light on the puzzling low onset temperatures measured in experiments. Sporadic nanometric spots of hydrophobic wettability will be shown to be enough to trigger the nucleation at low superheat, significantly reducing the temperature of boiling onset, in line with experimental results. The proposed mesoscale approach constitutes the missing link between macroscopic approaches and molecular dynamics simulations and will open a breakthrough pathway toward accurate understanding and prediction.
Original language | English |
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Article number | 6428 (2023) |
Pages (from-to) | 1-10 |
Number of pages | 10 |
Journal | Nature Communications |
Volume | 14 |
Issue number | 1 |
DOIs | |
Publication status | Published - 13 Oct 2023 |
Bibliographical note
Funding Information:C.M.C. has been partially supported by the Sapienza 2022 Funding Scheme, Project No. RG1221815884CB65. C.M.C. and M.G. have received financial support from ICSC – Centro Nazionale di Ricerca in "High Performance Computing, Big Data and Quantum Computing", funded by European Union – NextGenerationEU. M.M., A.G., M.G., and J.dC. have been supported by the UK LEVERHULME Fund grant AMuSE RPG-2021-262. Support is acknowledged from DECI 17 SOLID project for resource Navigator based in Portugal at https://www.uc.pt/lca/ from the PRACE aisbl (PI M.G.); CINECA award under the ISCRA initiative, for the availability of high-performance computing resources and support ISCRA-B FHDAS (PI M.G.).
Funding Information:
C.M.C. has been partially supported by the Sapienza 2022 Funding Scheme, Project No. RG1221815884CB65. C.M.C. and M.G. have received financial support from ICSC – Centro Nazionale di Ricerca in "High Performance Computing, Big Data and Quantum Computing", funded by European Union – NextGenerationEU. M.M., A.G., M.G., and J.dC. have been supported by the UK LEVERHULME Fund grant AMuSE RPG-2021-262. Support is acknowledged from DECI 17 SOLID project for resource Navigator based in Portugal at https://www.uc.pt/lca/ from the PRACE aisbl (PI M.G.); CINECA award under the ISCRA initiative, for the availability of high-performance computing resources and support ISCRA-B FHDAS (PI M.G.).
Publisher Copyright:
© 2023, Springer Nature Limited.