dc.contributor.author
Nissar, Zuhaib
dc.date.accessioned
2026-02-10T02:10:50Z
dc.date.available
2026-02-10T02:10:50Z
dc.date.issued
2025-07-02
dc.identifier
Nissar, Z. SORS: Sprays modelling and experiments. A: Severo Ochoa Research Seminars at BSC. «10th Severo Ochoa Research Seminar Lectures at BSC, Barcelona, 2024-25». Barcelona: Barcelona Supercomputing Center, 2025, p. 160-161.
dc.identifier
https://hdl.handle.net/2117/454346
dc.identifier.uri
http://hdl.handle.net/2117/454346
dc.description.abstract
This aim of this work is to develop and validate modelling of
polydisperse sprays using the generalised Fully Lagrangian Approach
(gFLA), supported by detailed experimental measurements. A flat-fan
water spray under quiescent conditions was characterised using highspeed
videography (HSV), where a novel image-processing method
was developed to extract droplet size and velocity from time-resolved
images. Images from different sub-regions were used to reconstruct all
events occurring in the spray, capturing local variations in droplet
behaviour and identifying the primary breakup zone. The HSV
technique was benchmarked against Phase Doppler anemometry (PDA)
measurements. While both methods showed consistent trends, HSV
provided a broader droplet size range, and PDA offered higher temporal
resolution. However, PDA was limited in providing spatial gradients
and reliable number density estimates. As a result, HSV data was used
to generate the initial conditions for the gFLA. The model tracks droplet
trajectories by solving systems of ordinary differential equations and
predicts droplet number density, size, velocity, and concentration fields.
Jacobian determinant associated with the transformation from initial to
current particle positions was used to evaluate number density. The
Jacobian determinant approaches zero at locations where droplet
trajectories intersect, helping identify folds/caustics in the flow field,
while leading to non-physical values for field variables. Kernel
regression was applied to reconstruct continuous number density,
average droplet size and velocity fields on a Eulerian grid. The gFLA
successfully reproduced droplet clustering and general flow structure,
although predictions slightly differed from experimental values due to
kernel smoothing and simplified assumptions, such as quiescent gasphase
flow. Overall, this study demonstrates the feasibility of the gFLA
for simulating droplet-laden sprays and provides high-resolution
experimental database that can support the development of more
accurate models for both primary breakup and Lagrangian spray
simulations.
dc.format
application/pdf
dc.publisher
Barcelona Supercomputing Center
dc.rights
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject
Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors
dc.subject
High performance computing
dc.subject
Càlcul intensiu (Informàtica)
dc.title
SORS: Sprays modelling and experiments
dc.type
Conference report