advanced PIV processing for microfluidics: Psi-PIV

Advanced PIV processing to optimise performance of Ψ-PIV

Microfluidics technology is a fast growing area revolutionising the biological, chemical and biomedical industry. Particle image velocimetry (PIV) [1] is a quantitative method which is primarily used for measuring velocity field in experimental fluid mechanics. However, measuring flow using PIV in microfluidic chips can be challenging for unsteady laminar flows [2].

Ψ-PIV (submitted for publication) is an in-house developed PIV processing code for microfluidic application (algorithm explained in the figure). This method has shown an improvement by factor of 25 compared to conventional PIV for single-pass cross-correlation.

Improve the algorithm of Ψ-PIV by taking help of advanced PIV processing steps such as multi-grid and iterative windows approach [3].

The student will work on further developing MATLAB code of Ψ-PIV by understanding and implementing state-of-art PIV processing steps. Followed by analysing the improvement in valid vector detection on synthetic images. Finally, doing experiment on a PDMS microfluidic device for validation of the results.

By the end of the thesis, we expect to check the improvement of this method onsynthetic and experimental data. Possibility of writing a journal paper.


[1] Adrian, R. and J. Westerweel (2010). Particle image velocimetry. Cambridge University Press.

[2] Ehyaei, D. and K. Kiger (2014). Quantitative velocity measurement in thin-gap Poiseuille flow. Experiments in Fluids 55, 1–12.

[3] Scarano, F. and M. Riethmuller (2000). Advances in iterative multigrid PIV image processing. Experiments in Fluids 29, s51–s60.

Principal difference between PIV and Ψ-PIV

M.Sc. project in microfluidics

Fluid Mechanics

Involved People:
Ankur Kislaya, M.Sc.
dr. Daniel Tam J. Westerweel