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Divergence of Critical Fluctuations on Approaching Catastrophic Phase Inversion in Turbulent Emulsions

  • Lei Yi
  • , Ivan Girotto
  • , Federico Toschi (Corresponding author)
  • , Chao Sun (Corresponding author)

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Catastrophic phase inversion, the breakdown of a concentrated emulsion characterized by the most puzzling sudden feature, is crucial in numerous industrial applications. Here we combine well-controlled experiments and fully resolved numerical simulations to study the critical dynamics of catastrophic phase inversion in oil-water emulsions under turbulent flow as the phase-inversion volume fraction is approached. We reveal that the phase inversion is characterized by the critical power-law divergence of fluctuations in the global drag force. We determine the enhanced dynamical heterogeneity in the local droplet structures at approaching the phase inversion, and tightly connect it to the diverging drag fluctuations. Moreover, we show that near to the critical point the phase inversion is triggered as a stochastic process by large fluctuations at both large and small scales. Our findings pave the way to modeling the phase inversion process as an out-of-equilibrium critical-like phenomena.
Original languageEnglish
Article number134001
Number of pages6
JournalPhysical Review Letters
Volume133
Issue number13
Early online date26 Sept 2024
DOIs
Publication statusPublished - 27 Sept 2024

Funding

We thank Roberto Benzi, Varghese Mathai, Stan van der Burg, Yibao Zhang, and Mingbo Li for their insightful discussions and Cheng Wang for his help in experiments. This work is financially supported by the National Natural Science Foundation of China under Grant No. 11988102 and the New Cornerstone Science Foundation through the New Cornerstone Investigator Program and the XPLORER PRIZE. Numerical simulations were performed thanks to granted PRACE Projects (IDs No. 2018184340 and No. 2019204899) along with CINECA and BSC for access to their HPC systems. This work was partially sponsored by NWO domain Science for the use of supercomputer facilities.

FundersFunder number
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
National Natural Science Foundation of China11988102

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