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)  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 .
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 .
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.
 Adrian, R. and J. Westerweel (2010). Particle image velocimetry. Cambridge University Press.
 Ehyaei, D. and K. Kiger (2014). Quantitative velocity measurement in thin-gap Poiseuille flow. Experiments in Fluids 55, 1–12.
 Scarano, F. and M. Riethmuller (2000). Advances in iterative multigrid PIV image processing. Experiments in Fluids 29, s51–s60.
M.Sc. project in microfluidics
Ankur Kislaya, M.Sc.
dr. Daniel Tam
prof.dr.ir. J. Westerweel