Numerical Simulation Using a Modified Solver within OpenFOAM for Compressible Viscous Flows

Authors

  • Valiyollah Ghazanfari Materials and Nuclear Fuel Research School, Nuclear Science and Technology Research Institute, AEOI, Tehran, Iran
  • Ali Akbar Salehi Department of Energy Engineering, Sharif University of Technology, Tehran, Iran
  • Ali Reza Keshtkar Materials and Nuclear Fuel Research School, Nuclear Science and Technology Research Institute, AEOI, Tehran, Iran
  • Mohammad Mahdi Shadman Advanced Technology Company of Iran, AEOI, Tehran, Iran
  • Mohammad Hossein Askari Advanced Technology Company of Iran, AEOI, Tehran, Iran

DOI:

https://doi.org/10.13052/ejcm2642-2085.2861

Keywords:

OpenFOAM, density-based, AUSM up, sonicFoam, implicit

Abstract

In this work, we attempted to develop an Implicit Coupled Density-Based (ICDB) solver using LU-SGS algorithm based on the AUSM+ up scheme in OpenFOAM. Then sonicFoam solver was modified to include viscous dissipation in order to improve its capability to capture shock wave and aerothermal variables. The details of the ICDB solver as well as key implementation details of the viscous dissipation to energy equation were introduced. Finally, two benchmark tests of hypersonic airflow over a flat plate and a 2-D cylinder were simulated to show the accuracy of ICDB solver. To verify and validate the ICDB solver, the obtained results were compared with other published experimental data. It was revealed that ICDB solver has good agreement with the experimental data. So it can be used as reference in other studies. It was also observed that ICDB solver enjoy advantages such as high resolution for contact discontinuity and low computational time. Moreover, to investigate the performance of modified sonicFoam, a case study of airflow over the prism was considered. Then the results of the modified sonicFoam were compared with the ICDB, rhoCentralFoam and sonicFoam solvers. The results showed that the modified sonicFoam solver possesses higher accuracy and lower computational time in comparison with the sonicFoam and rhoCentralFoam solvers, respectively.

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Author Biographies

Valiyollah Ghazanfari , Materials and Nuclear Fuel Research School, Nuclear Science and Technology Research Institute, AEOI, Tehran, Iran

Valiyollah Ghazanfari earned a Ph.D. in nuclear engineering from Nuclear Science and Technology Institute in 2020, Iran. His research focuses on thermodynamic, fluid mechanic, CFD and numerical simulation using OpenFOAM and Fluent. He is currently working in Advanced Technology Company of Iran and Materials and Nuclear Fuel Research School.

Ali Akbar Salehi, Department of Energy Engineering, Sharif University of Technology, Tehran, Iran

Ali Akbar Salehi received a Ph.D. in nuclear engineering from Massachusetts Institute of Technology in 1977. He is full professor and was chancellor of Sharif University of Technology. His research focuses on Theoretical Physics. He is currently head of the Atomic Energy Organization of Iran.

Ali Reza Keshtkar, Materials and Nuclear Fuel Research School, Nuclear Science and Technology Research Institute, AEOI, Tehran, Iran

Alireza Keshtkar earned a Ph.D. in chemical engineering from Tehran University, Iran. He is full professor and his research interests include design and analysis of separation processes. He is currently head of the Material and Nuclear Fuel Research School.

Mohammad Mahdi Shadman, Advanced Technology Company of Iran, AEOI, Tehran, Iran

Mohammad Mahdi Shadman received a Ph.D. in chemical engineering from Tarbiat Modarres University, Iran. His research focuses on thermokinetic and fluid-mechanic in chemical engineering. He is currently working in Advanced Technology Company of Iran.

Mohammad Hossein Askari, Advanced Technology Company of Iran, AEOI, Tehran, Iran

Mohammad Hossein Askari earned a Ph.D. in mechanical engineering from Tehran University, Iran. His research focuses on fluid mechanic, numerical simulation and CFD method using Fluent software. He is currently working in Advanced Technology Company of Iran.

References

Morini G and Spiga M 2007 The role of the viscous dissipation in heated microchannels. ASME JJ Heat Trans. 129: 308-318

Khader M 2019 Fourth-order predictor-corrector FDM for the effect of viscous dissipation and Joule heating on the Newtonian fluid flow. Computers and Fluids. 182: 9-14

Schultz D H, Schwengels S and Gunol K 1992 Influence of viscous dissipation in a fluid between concentric rotating spheres. Computers and Fluids. 21: 661-668

Druguet M and Zeitoun D E 2003 Influence of numerical and viscous dissipation on shock wave reflections in supersonic steady flows. Computers and Fluids. 32: 515-533

Zhang A M and Ni B Y 2014 Three-dimensional boundary integral simulations of motion and deformation of bubbles with viscous effects. Computers and Fluids. 92: 22-33

Stewartson K 1964 The Theory of Laminar Boundary Layers in Compressible Fluids. Oxford Univ. Press

Nepal C R, Rahman T and Hossain M A 2018 Boundary-Layer Characteristics of Compressible Flow past a Heated Cylinder with Viscous Dissipation. Journal of Thermophysics and heat Transfer. 1533-6808

Tanguy J M 2012 Numerical Methods. USA: WILEY

Jiri B 2015 Computational Fluid Dynamics: principles and applications. 466. Butterworth-Heinemann

Chun Sh, Xin l, Yong W, Feng Y and Zhen J 2016 Implementation of density based implicit LU-SGS solver in the framework of OpenFOAM. Advances in Engineering Software. 91: 80-88

Nerinckx K, Jan V and Erik D 2007 A Mach-uniform algorithm: Coupled versus segregated approach. Journal of Computational Physics. 224: 3141-331

Zhang K, Cheng W and jian T 2018 Numerical study with OpenFOAM on heat conduction problems in heterogeneous media. International Journal of Heat and Mass Transfer. 124: 1156-1162

OpenFOAM 2019 The Open Source CFD Toolbox User Guide ESI-OpenCFD Ltd

Gaikwad P and Sreedhara S 2019 OpenFOAM based Conditional Moment Closure (CMC) model for solving non-premixed turbulent combustion: Integration and validation. Computers and Fluids. 190: 362-373

Constant E, Favier J, Meldi M, Meliga P and Serrea E 2017 An immersed boundary method in OpenFOAM : Verification and validation. Computers and Fluids. 157: 55-72

Kraposhin M V, Smirnova E V, Elizarova T G and Istomina M A 2018 Development of a new OpenFOAM solver using regularized gas dynamic equations. Computers and Fluids. 166: 163-175

Kurganov A and Tadmor E 2000 New High-Resolution Central Schemes for Nonlinear Conservation Laws and Convection–Diffusion Equations. Journal of Computational Physics. 160: 241-282

Borm O, Jemcov A and Kau H P 2011 Density based Navier–Stokes solver for transonic flows. Proceedings of the 6th OpenFOAM Workshop. USA. PennStateUniversity

Chun Sh, Sun F and Xia X 2013 Analysis on capabilities of density-based solvers within OpenFOAM to distinguish aerothermal variables in diffusion boundary layer. Chinese Journal of Aeronautics. 26: 1370–1379

Borm O, Jemcov A and Kau H P 2012 Unsteady aerodynamics of a centrifugal compressor stage validation of two different CFD solvers. Proceedings of ASME Turbo Expo 2012, GT2012. Copenhagen, Denmark.

Ansys 2019 http://www.ansys.com

Fastran 2012 http://www.esi-cfd.com

Chun Sh, Sun F and Xia X 2014 Implementation of density-based solver for all speeds in the framework of OpenFOAM. Computer Physics Communications. 185: 2730-2741

Moukalled F, Mangani L and Darwish M 2016 The Finite Volume Method in Computational Fluid Dynamics. Switzerland: Springer

Kurganov A and Tadmor E 2000 New High-Resolution Central Schemes for Nonlinear Conservation Laws and Convection–Diffusion Equations. Journal of Computational Physics. 160: 241-282

Kurganov A, Noelle S and Petrova G 2001 Semi-discrete central-upwind schemes for hyperbolic conservation laws and Hamilton–Jacobi equations. SIAM Journal on Scientific Computing. 23: 707-740

Kraposhin M, Bovtrikova A and Strijhak S 2015 Adaptation of Kurganov-Tadmor Numerical Scheme for Applying in Combination with the PISO Method in Numerical Simulation of Flows in a Wide Range of Mach Numbers. Procedia Computer Science. 66: 43-52

Luis F G, José T and Sergio E 2012 High speed flow simulaion using openFOAM. Mecánica Computacional. Salta, Argentina. 2939-2959

Ye Sh, WenJing Y and XinHai X 2017 The Implementation of an Implicit Coupled Density based Solver based on OpenFOAM. Computing Machinery. Wuhan, China

Kitamura K and Atsushi H 2016 Reduced dissipation AUSM-family fluxes: HR-SLAU2 and HR-AUSM+-up for high resolution unsteady flow simulations. Computers & Fluids. 126: 41-57

Liou M 2006 A sequel to AUSM, PartII:AUSM+-up for all speeds. Journal of Computational Physics. 214: 137-170

Blosch E, Meganathan A j, Zhang S J and Sarena A 2007 Development and validation of transonic flutter prediction methodology using CFD-FASTRAN. AIAA 2007-2015

Dechaumphai P, Thornton E A and Wietinga R 1989 Flow-thermal-structural study aerodynamically heated leading edge. Spacecraft. 26: 201-209

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Published

2020-03-02

How to Cite

Ghazanfari , V., Salehi, A. A., Keshtkar, A. R., Shadman, M. M., & Askari, M. H. (2020). Numerical Simulation Using a Modified Solver within OpenFOAM for Compressible Viscous Flows. European Journal of Computational Mechanics, 28(6), 541–572. https://doi.org/10.13052/ejcm2642-2085.2861

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