Open AccessRANS numerical simulation in in-line tube bundle: prediction of heat transfer
Author(s) -
A R Hayrullin,
A I Haibullina,
V K Ilyin
Publication year - 2022
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/979/1/012157
Subject(s) - reynolds averaged navier–stokes equations , turbulence , reynolds number , heat transfer , mechanics , bundle , physics , thermodynamics , mathematics , materials science , composite material
ion. This article analyzed three RANS turbulence models to predict heat transfer in a in-line tube bundle. The numerical simulations were based on the commercial product AnsysFluent. The RNG k-epsilon model with enhanced wall function, SST, SST k-omega models were employed for turbulence modeling. Numerical simulation was carried out in the range of Reynolds numbers from 1000 to 10200. The obtained data on heat transfer were compared with the known empirical equation. The best agreement with experimental data over the entire studied range of the Reynolds number was obtained for the RNG k-epsilon model with enhanced wall function. The average deviation from experimental data was 6.3%.