Academic Journal

Modeling the separation of water‐in‐oil emulsions in continuously fed gravity settlers using millifluidic experiments.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Modeling the separation of water‐in‐oil emulsions in continuously fed gravity settlers using millifluidic experiments.
Συγγραφείς: Zlobin, Andrei, Andino‐Enriquez, José Esteban, Gouëzec, Thomas, Bourrel, Maurice, Santanach‐Carreras, Enric, Passade‐Boupat, Nicolas, Talini, Laurence, Lequeux, François, Panizza, Pascal
Πηγή: AIChE Journal; Aug2026, Vol. 72 Issue 8, p1-14, 14p
Θεματικοί όροι: Emulsions, Demulsification, Machine separators, Steady-state flow, Additives, Fluid dynamics, Mathematical models
Περίληψη: Emulsion separation remains a persistent challenge in chemical and process industries due to the metastable nature of dispersed droplets. In gravity separators, the overall separation rate is governed by the formation of a densely packed zone (DPZ) of deforming and coalescing droplets that mediates between the dispersed and continuous phases. Conventional bottle tests fail to capture the dynamic behavior of such systems under continuous‐flow operation. In this work, a minimal millifluidic platform is developed to emulate gravity‐driven separation under steady inflow, enabling direct observation of DPZ evolution. By independently controlling the emulsion feed rate and coalescence rate through chemical additives, two distinct operating regimes are identified: one yielding a stationary DPZ height and another exhibiting unbounded growth. A stochastic coalescence model captures this transition and quantitatively predicts the critical feed rate and steady‐state DPZ height through dimensionless parameters. This framework advances predictive understanding of emulsion separation in continuous‐flow processes. [ABSTRACT FROM AUTHOR]
Copyright of AIChE Journal is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Βάση Δεδομένων: Complementary Index
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  Data: Modeling the separation of water‐in‐oil emulsions in continuously fed gravity settlers using millifluidic experiments.
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  Data: AIChE Journal; Aug2026, Vol. 72 Issue 8, p1-14, 14p
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  Data: <searchLink fieldCode="DE" term="%22Emulsions%22">Emulsions</searchLink><br /><searchLink fieldCode="DE" term="%22Demulsification%22">Demulsification</searchLink><br /><searchLink fieldCode="DE" term="%22Machine+separators%22">Machine separators</searchLink><br /><searchLink fieldCode="DE" term="%22Steady-state+flow%22">Steady-state flow</searchLink><br /><searchLink fieldCode="DE" term="%22Additives%22">Additives</searchLink><br /><searchLink fieldCode="DE" term="%22Fluid+dynamics%22">Fluid dynamics</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink>
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  Data: Emulsion separation remains a persistent challenge in chemical and process industries due to the metastable nature of dispersed droplets. In gravity separators, the overall separation rate is governed by the formation of a densely packed zone (DPZ) of deforming and coalescing droplets that mediates between the dispersed and continuous phases. Conventional bottle tests fail to capture the dynamic behavior of such systems under continuous‐flow operation. In this work, a minimal millifluidic platform is developed to emulate gravity‐driven separation under steady inflow, enabling direct observation of DPZ evolution. By independently controlling the emulsion feed rate and coalescence rate through chemical additives, two distinct operating regimes are identified: one yielding a stationary DPZ height and another exhibiting unbounded growth. A stochastic coalescence model captures this transition and quantitatively predicts the critical feed rate and steady‐state DPZ height through dimensionless parameters. This framework advances predictive understanding of emulsion separation in continuous‐flow processes. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of AIChE Journal is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1002/aic.70429
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        Text: English
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        Type: general
      – SubjectFull: Demulsification
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      – SubjectFull: Machine separators
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      – SubjectFull: Steady-state flow
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      – SubjectFull: Additives
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      – SubjectFull: Mathematical models
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              Text: Aug2026
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              Y: 2026
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