TY - GEN
T1 - Testing an In-House CFD Code for Solving Gas–Solid Flow with Different Simulation Parameters
AU - Suryo, Is Bunyamin
AU - Yuwono, Tri Yogi
AU - Schnell, Uwe
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2022
Y1 - 2022
N2 - An In-House Computational Fluid Dynamics (CFD) solver is developed for dealing with the gas–solid flow. The Finite Volume Method (FVM) is the basis of the numerical method utilized by the solver, and the Fortran language is used for building the code. The code relies on the Cartesian coordinate system. In order to analyse the effects of varying the simulation parameters, the developed code is tested to solve gas–solid flow simulation inside a circular riser. The simulation parameters which are employed in this study are three different drag models, two different radial distribution function models, two different coefficient of restitution values, and two different time steps of 0.0001 s and of 0.00015 s. In total, 24 variations of the simulations are calculated up to 6 s and its results are compared with each other. From the simulations, the numerical results can be categorized into several groups. The simulations using time step of 0.00015 s, the radial distribution function of Syamlal model, and coefficient of restitution of 0.70, with three different drag models, Gidaspow, Syamlal, and Wen-Yu, showed the best numerical results which will afterwards be fully simulated up to 40 s.
AB - An In-House Computational Fluid Dynamics (CFD) solver is developed for dealing with the gas–solid flow. The Finite Volume Method (FVM) is the basis of the numerical method utilized by the solver, and the Fortran language is used for building the code. The code relies on the Cartesian coordinate system. In order to analyse the effects of varying the simulation parameters, the developed code is tested to solve gas–solid flow simulation inside a circular riser. The simulation parameters which are employed in this study are three different drag models, two different radial distribution function models, two different coefficient of restitution values, and two different time steps of 0.0001 s and of 0.00015 s. In total, 24 variations of the simulations are calculated up to 6 s and its results are compared with each other. From the simulations, the numerical results can be categorized into several groups. The simulations using time step of 0.00015 s, the radial distribution function of Syamlal model, and coefficient of restitution of 0.70, with three different drag models, Gidaspow, Syamlal, and Wen-Yu, showed the best numerical results which will afterwards be fully simulated up to 40 s.
KW - Drag model
KW - Gas–solid flow
KW - Numerical simulation
UR - http://www.scopus.com/inward/record.url?scp=85135935555&partnerID=8YFLogxK
U2 - 10.1007/978-981-19-1581-9_3
DO - 10.1007/978-981-19-1581-9_3
M3 - Conference contribution
AN - SCOPUS:85135935555
SN - 9789811915802
T3 - Lecture Notes in Electrical Engineering
SP - 29
EP - 36
BT - Recent Advances in Renewable Energy Systems - Select Proceedings of ICOME 2021
A2 - Kolhe, Mohan
A2 - Muhammad, Aziz
A2 - El Kharbachi, Abdel
A2 - Yuwono, Tri Yogi
PB - Springer Science and Business Media Deutschland GmbH
T2 - 5th International Conference on Mechanical Engineering, ICOME 2021
Y2 - 25 August 2021 through 26 August 2021
ER -