A CFD simulation tool for experimental prediction of inflow polymeric microdroplet formation in a T-junction configuration

A simulation tool to predict the morphological features and dynamics of polymeric microdroplets in a microfluidic T-junction is presented. A phase-diagram of regimes is created moving from dripping to squeezing within ranges of 10 −2 –10 −4 and 10 −1 –10 −3 for Reynolds and Capillary numbers, respectively. The simulations show the strong influence of the continuous phase over the droplet size, which changes two orders of magnitude -increasing from 10 1 to 10 2 μm- as the flowrate becomes higher. The phase-diagram allows to choose the optimal fluid-flow conditions to have a precise and stable dripping production of spherical drops. Indeed, a successful down-scaling of drop size up to ∼10 1 μm with a drop rate production of ∼40 drops/s is obtained, with a great accordance between simulative and experimental results (error < 1 %), at high monodispersity (polydispersity index<0.05). Therefore, our tool has proved to be a powerful approach to predict and regulate polymeric microdroplet production in microfluidics. • Two-dimensional CFD simulation for polymeric droplet formation in T-junction device. • A phase-diagram of different production regimes obtained from CFD simulation. • Dripping optimization for downsizing droplet diameters in a range of 10 1 –10 2 μm.

Authors

Institutions

Publication Details

Journal
Colloids and Interface Science Communications
Published
2025-04-05
DOI
https://doi.org/10.1016/j.colcom.2025.100834
Primary Topic
Innovative Microfluidic and Catalytic Techniques Innovation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A CFD simulation tool for experimental prediction of inflow polymeric microdroplet formation in a T-junction configuration

Edmondo Battista, Filippo Causa, Maria Isabella Maremonti, Maria Auriemma
Colloids and Interface Science Communications
Innovative Microfluidic and Catalytic Techniques Innovation
article

A CFD simulation tool for experimental prediction of inflow polymeric microdroplet formation in a T-junction configuration

Edmondo Battista, Filippo Causa, Maria Isabella Maremonti, Maria Auriemma
article en

Abstract

A simulation tool to predict the morphological features and dynamics of polymeric microdroplets in a microfluidic T-junction is presented. A phase-diagram of regimes is created moving from dripping to squeezing within ranges of 10 −2 –10 −4 and 10 −1 –10 −3 for Reynolds and Capillary numbers, respectively. The simulations show the strong influence of the continuous phase over the droplet size, which changes two orders of magnitude -increasing from 10 1 to 10 2 μm- as the flowrate becomes higher. The phase-diagram allows to choose the optimal fluid-flow conditions to have a precise and stable dripping production of spherical drops. Indeed, a successful down-scaling of drop size up to ∼10 1 μm with a drop rate production of ∼40 drops/s is obtained, with a great accordance between simulative and experimental results (error < 1 %), at high monodispersity (polydispersity index<0.05). Therefore, our tool has proved to be a powerful approach to predict and regulate polymeric microdroplet production in microfluidics. • Two-dimensional CFD simulation for polymeric droplet formation in T-junction device. • A phase-diagram of different production regimes obtained from CFD simulation. • Dripping optimization for downsizing droplet diameters in a range of 10 1 –10 2 μm.

Colloids and Interface Science CommunicationsVol. 66
Italian Institute of Technology (IT), University of Chieti-Pescara (IT), Center for Advanced Biomaterials for Healthcare (IT), University of Naples Federico II (IT)
Openalex Percentile: Top 94%
Innovative Microfluidic and Catalytic Techniques Innovation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A CFD simulation tool for experimental prediction of inflow polymeric microdroplet formation in a T-junction configuration — Edmondo Battista, Filippo Causa, et al. · Colloids and Interface Science Communications (2025) | TGRS Research Map | TGRS