RANS numerical simulation in in-line tube bundle: prediction of heat transfer

Abstract

Abstract Abstraction. 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%.