Naslov
Stohastic modelling of nanofluid heat transfer

Autori
Ravnik, Jure ; Šušnjara, Anna ; Tibaut, Jan ; Poljak, Dragan ; Cvetković, Mario

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, prošireni sažetak, znanstveni

Izvornik
UMEMA 2018 Abstracts collection / - , 2018, 16-17

Skup
4th Workshop Uncertainty Modeling for Engineering Applications, UMEMA 2018

Mjesto i datum
Split, Hrvatska, 10.12.2018. - 11.12.2018

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Podatak o recenziji nije dostupan

Ključne riječi
stochastic modeling ; nanofluid ; heat transfer ; stochastic collocation

Sažetak
In this paper we couple a numerical method aimed at simulation of flow and heat transfer of nanofluids with stochastic modelling of input and material parameters. In order to simulate nanofluids, an in-house numerical method was developed based on the solution of 3D velocity-vorticity formulation of Navier-Stokes equations. Stochastic collocation method (SCM) is used as a wrapper around the deterministic flow simulation code in order to propagate the uncertainty from input to output parameters. "One-at-a-time" principle is used to detect the most important factors thus reducing stochastic problem from 12 to 5 dimensional one. Then, the full tensor SCM was used to assess the stochastic mean, variance and Sobol-like indices for sensitivity analysis. The results reveals that the uncertainty of input parameters influences the results more strongly in convection dominated flow regimes.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Strojarstvo

POVEZANOST RADA