TY - GEN
T1 - CFD simulation of multiphase fluid flow in a two-dimensional gas-solid fluidized bed using two different turbulence models
AU - Daryus, Asyari
AU - Siswantara, Ahmad Indra
AU - Budiarso,
AU - Gunadi, Gun Gun R.
AU - Pujowidodo, Hariyotejo
N1 - Publisher Copyright:
© 2019 Author(s).
PY - 2019/1/25
Y1 - 2019/1/25
N2 - This paper presents the numerical analysis of fluid flow in a two-dimensional fluidized bed through simulations. The experiment data of Geldart B particles fluidized bed is used to validate the simulation results. Simulations has been conducted using Computational Fluids Dynamics (CFD) method, Eulerian Eulerian two fluid approach with Gidaspow drag model, kinetic theory of granular flow, and two turbulence models. Two different turbulence models of Standard (STD) k-ϵ and Renormalization Group (RNG) k-ϵ are used since they are proven applicable for high complexity flows such as in the fluidized bed. Simulations were conducted using the commercial software CFDSOF®. From the experiments obtained that the minimum fluidization velocity is 0.4 m/s and the pressure drop across the bed is around 700 Pa. Both models cannot predict the pressure drop across the bed well below the minimum fluidization velocity, but above it both models give the closer results to the experiment data and the RNG k-ϵ model predicts closer in comparison to the STD k-ϵ model. The STD k-ϵ model predicts the turbulent regime sooner and the static pressure distribution a little bit higher.
AB - This paper presents the numerical analysis of fluid flow in a two-dimensional fluidized bed through simulations. The experiment data of Geldart B particles fluidized bed is used to validate the simulation results. Simulations has been conducted using Computational Fluids Dynamics (CFD) method, Eulerian Eulerian two fluid approach with Gidaspow drag model, kinetic theory of granular flow, and two turbulence models. Two different turbulence models of Standard (STD) k-ϵ and Renormalization Group (RNG) k-ϵ are used since they are proven applicable for high complexity flows such as in the fluidized bed. Simulations were conducted using the commercial software CFDSOF®. From the experiments obtained that the minimum fluidization velocity is 0.4 m/s and the pressure drop across the bed is around 700 Pa. Both models cannot predict the pressure drop across the bed well below the minimum fluidization velocity, but above it both models give the closer results to the experiment data and the RNG k-ϵ model predicts closer in comparison to the STD k-ϵ model. The STD k-ϵ model predicts the turbulent regime sooner and the static pressure distribution a little bit higher.
UR - http://www.scopus.com/inward/record.url?scp=85061160285&partnerID=8YFLogxK
U2 - 10.1063/1.5086563
DO - 10.1063/1.5086563
M3 - Conference contribution
AN - SCOPUS:85061160285
T3 - AIP Conference Proceedings
BT - 10th International Meeting of Advances in Thermofluids, IMAT 2018 - Smart City
A2 - Yatim, Ardiyansyah
A2 - Nasruddin, null
A2 - Budiyanto, Muhammad Arif
A2 - Aisyah, Nyayu
A2 - Alhamid, Muhamad Idrus
PB - American Institute of Physics Inc.
T2 - 10th International Meeting of Advances in Thermofluids - Smart City: Advances in Thermofluid Technology in Tropical Urban Development, IMAT 2018
Y2 - 16 November 2018 through 17 November 2018
ER -