Fluid flow simulations meet high-speed video : Computer vision comparison of droplet dynamics
Publiceringsår
2018
Upphovspersoner
Kulju, S.;Riegger, L.;Koltay, P.;Mattila, K.;Mattila, K.;Mattila, K.;Hyväluoma, J.
Abstrakt
Hypothesis While multiphase flows, particularly droplet dynamics, are ordinary in nature as well as in industrial processes, their mathematical and computational modelling continue to pose challenging research tasks - patent approaches for tackling them are yet to be found. The lack of analytical flow field solutions for non-trivial droplet dynamics hinders validation of computer simulations and, hence, their application in research problems. High-speed videos and computer vision algorithms can provide a viable approach to validate simulations directly against experiments. Experiments Droplets of water (or glycerol-water mixtures) impacting on both hydrophobic and superhydrophobic surfaces were imaged with a high-speed camera. The corresponding configurations were simulated using a lattice-Boltzmann multiphase scheme. Video frames from experiments and simulations were compared, by means of computer vision, over entire droplet impact events. Findings The proposed experimental validation procedure provides a detailed, dynamic one-on-one comparison of a droplet impact. The procedure relies on high-speed video recording of the experiments, computer vision, and on a software package for the analyzation routines. The procedure is able to quantitatively validate computer simulations against experiments and it is widely applicable to multiphase flow systems in general.
Visa merOrganisationer och upphovspersoner
Tammerfors universitet
Mattila K.
Publikationstyp
Publikationsform
Artikel
Moderpublikationens typ
Tidning
Artikelstyp
En originalartikel
Målgrupp
VetenskapligKollegialt utvärderad
Kollegialt utvärderadUKM:s publikationstyp
A1 Originalartikel i en vetenskaplig tidskriftPublikationskanalens uppgifter
Journal/Serie
Förläggare
Volym
522
Sidor
48-56
ISSN
Publikationsforum
Publikationsforumsnivå
1
Öppen tillgång
Öppen tillgänglighet i förläggarens tjänst
Ja
Öppen tillgång till publikationskanalen
Helt öppen publikationskanal
Parallellsparad
Ja
Övriga uppgifter
Vetenskapsområden
Data- och informationsvetenskap; Fysik
Nyckelord
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Förlagets internationalitet
Internationell
Språk
engelska
Internationell sampublikation
Ja
Sampublikation med ett företag
Ja
DOI
10.1016/j.jcis.2018.03.053
Publikationen ingår i undervisnings- och kulturministeriets datainsamling
Ja