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Electrokinetic and electro-elastic instabilities in viscoelastic microfluidic flows: suppression and augmentation in
C Sasmal1, T Waghmare1, A Chauhan1
1Department of Chemical Engineering, Indian Institute of Technology Ropar, Rupnagar, Punjab, 140001, India. csasmal@iitrpr.ac.in.
Soft Matter
|January 2, 2026
Summary
Fluid viscoelasticity impacts mixing in microfluidic flows driven by electric fields. Initially suppressing mixing, higher elasticity triggers instabilities that enhance mixing, revealing a complex, non-monotonic relationship.
Area of Science:
- Microfluidics
- Rheology
- Non-Newtonian fluid dynamics
Background:
- Viscoelastic fluids are transported in microfluidic systems using electric fields.
- Two instabilities, electro-elastic (EEI) and electrokinetic (EKI), can arise, promoting mixing.
- Fluid viscoelasticity's effect on mixing efficiency, particularly in T-junctions, is complex.
Purpose of the Study:
- To investigate the non-monotonic relationship between fluid viscoelasticity and mixing efficiency in electrokinetically driven microflows.
- To differentiate the flow structures and origins of EEI and EKI.
- To provide insights for optimizing mixing in microfluidic devices.
Main Methods:
- Numerical simulations of viscoelastic fluid flow in a microfluidic T-junction.
- Analysis of flow instabilities, including EEI and EKI.
- Application of dynamic mode decomposition (DMD) to characterize instability modes.
Main Results:
- Increasing viscoelasticity initially suppresses EKI and reduces mixing.
- Beyond a critical Weissenberg number, EEI emerges, leading to increased mixing.
- A non-monotonic relationship between mixing efficiency and Weissenberg number was observed.
- EEI and EKI exhibit distinct flow structures and origins.
Conclusions:
- Fluid viscoelasticity plays a crucial, non-monotonic role in modulating flow instabilities and mixing in electrokinetic microflows.
- Dynamic mode decomposition effectively characterizes instability modes and their impact on mixing.
- Tuning fluid properties and operating conditions can optimize mixing efficiency.

