台輝光科技股份有限公司
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平行化稀薄熱氣流場求解器 ultraSPARTS
電洽
ultraSPARTS
ultraSPARTS (ultra-fast Statistical PARTicle Simulation Package), is a particle-based C++ object-oriented parallel DSMC simulation code designed for efficiently solving gas flow problems with rarefaction and strong non-equilibrium. This software employs the direct simulation Monte Carlo (DSMC) method for directly solving the Boltzmann equation statistically. It can deal with rarefied gas flows with complex geometry using 2D/2D-axisymmetric/3D hybrid unstructured grid. The package has been applied for modeling general rarefied gas dynamics such as hypersonic non-reacting and reacting gas flows, vacuum pumping flow, satellite plume impingement, MEMS/NEMS gas flow, comet gas/dust plume (paper reference 1-9), and PVD deposition (OLED, CIG, E-beam, etc.), to name a few.
Several advanced computational techniques are used to reduce computational time, which include parallel computing using domain decomposition through message passing interface (MPI), variable time-step scheme (VTS) for reducing number of iteration towards steady state, transient adaptive subcell scheme (TAS) for improving collision quality, virtual mesh refinement (VMR) for resolving regions with large properties gradient, conservative weighting scheme (CWS) for treating trace species efficiently. In addition, a special technique, named as DREAM (DSMC Rapid Ensemble Average Method), is developed to reduce the statistical scatter from unsteady DSMC simulations.
In addition, for dealing with complex non-equilibrium flow problems, several important physical models are included in ultraSPARTS. They include different molecular models (HS/VHS/VSS) for reproducing viscosity and diffusivity of gases, no time counter (NTC) for treating collision probability efficiently, multi-species, translational-rotational energy exchange, translational-vibrational energy exchange, total collision energy model (TCE) for dissociation and exchange reactions [Bird, 1976], three-body collision model for recombination reaction [Boyd, 1992], surface reaction/deposition, pressure/mass flow controlled boundary conditions and pumping boundary conditions for internal gas flows, periodic boundary conditions and inclusion of gravity effect.
In addition, for dealing with complex non-equilibrium flow problems, several important physical models are included in ultraSPARTS. They include different molecular models (HS/VHS/VSS) for reproducing viscosity and diffusivity of gases, no time counter (NTC) for treating collision probability efficiently, multi-species, translational-rotational energy exchange, translational-vibrational energy exchange, total collision energy model (TCE) for dissociation and exchange reactions [Bird, 1976], three-body collision model for recombination reaction [Boyd, 1992], surface reaction/deposition, pressure/mass flow controlled boundary conditions and pumping boundary conditions for internal gas flows, periodic boundary conditions and inclusion of gravity effect.
E-Beam Metal Deposition Simulation
CIGS Film Deposition for Solar Cell
OLED Film Deposition Simulation
Astronomy & Astrophysics
Aerospace & Space Applications
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Hypersonic Reacting Flows
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ultraSPARTS Brochure
| ultraSPARTS brochure |
ultraSPARTS Simulation Examples
| ultraSPARTS simulation example |
ultraSPARTS Editor User Guide
| ultraSPARTS editor user guide |
DSMC for ANSYS -- ultraSPARTS
| 20181022 DSMC for Ansys -- ultraSPARTS |
Paper References for Astronomy Application
1. S. Finklenburg*, N. Thomas, C.-C. Su, J.-S. Wu, “The spatial distribution of water in the inner coma of comet 9P/Temple 1: Comparison between models and observations,” Icarus, Vol. 236, pp. 9-23, July 2014.
2. N. Thomas et al., “Re-distribution of particles across the nucleus of comet 67P/Churyumov-Gerasimenko,” Astronomy & Astrophysics, Vol. 583, A17, 2015.
3. I. Lai, et al., “DSMC Simulations of Ceres’ Water Plumes and Exosphere,” EGU General Assembly, Austria, 2015.
4. Y. Liao, et al., “3D Direct Simulation Monte Carlo Modelling of the Inner Gas Coma of Comet 67P/ Churyumov-Gerasimenko: A Parameter Study,” Earth Moon & Planets, Vol. 117(1), pp. 41-64, 2016.
5. I. Lai, et al., “Transport and Distribution of Hydroxyl Radicals and Oxygen Atoms from H2O Photodissociation in the Inner Coma of Comet 67P/Churyumov-Gerasimenko,” Earth Moon & Planets, Vol. 117(1), pp. 23-39, 2016.
6. Z.Y. Lin, et al., “Observations and Analysis of A Curved Jet in the Coma of Comet 67P/Churyumov-Gerasimenko,” Astronomy & Astrophysics, 588, L3, 2016.
7. R. Marschall, “Modelling of the inner gas and dust coma of comet 67P/Churyumov-Gerasimenko using ROSINA/COPS and OSIRIS data - First results,” Astronomy & Astrophysics, 589, A90, 2016.
8. I. Lai, et al., “Gas outflow and dust transport of comet 67P/Churyumov-Gerasimenko,” Monthly Notices of the Royal Astronomical Society, Vol. 462, Issue Suppl_1, S533-S546, Feb. 2017.
9. R. Marschall, et al., “Cliffs vs. Plains: Can ROSINA/COPS and OSIRIS data of comet 67P/Churyumov-Gerasimenko in autumn 2014 constrain inhomogeneous outgassing?” Astronomy & Astrophysics, Vol. 605, Issue A&A, A112, Sep. 2017.
10. R. Marschall, et al., "A comparison of multiple Rosetta data sets and 3D model calculations of 67P/Churyumov-Gerasimenko coma around equinox" Icarus, Volume 328, August 2019, Pages 104-126.
2. N. Thomas et al., “Re-distribution of particles across the nucleus of comet 67P/Churyumov-Gerasimenko,” Astronomy & Astrophysics, Vol. 583, A17, 2015.
3. I. Lai, et al., “DSMC Simulations of Ceres’ Water Plumes and Exosphere,” EGU General Assembly, Austria, 2015.
4. Y. Liao, et al., “3D Direct Simulation Monte Carlo Modelling of the Inner Gas Coma of Comet 67P/ Churyumov-Gerasimenko: A Parameter Study,” Earth Moon & Planets, Vol. 117(1), pp. 41-64, 2016.
5. I. Lai, et al., “Transport and Distribution of Hydroxyl Radicals and Oxygen Atoms from H2O Photodissociation in the Inner Coma of Comet 67P/Churyumov-Gerasimenko,” Earth Moon & Planets, Vol. 117(1), pp. 23-39, 2016.
6. Z.Y. Lin, et al., “Observations and Analysis of A Curved Jet in the Coma of Comet 67P/Churyumov-Gerasimenko,” Astronomy & Astrophysics, 588, L3, 2016.
7. R. Marschall, “Modelling of the inner gas and dust coma of comet 67P/Churyumov-Gerasimenko using ROSINA/COPS and OSIRIS data - First results,” Astronomy & Astrophysics, 589, A90, 2016.
8. I. Lai, et al., “Gas outflow and dust transport of comet 67P/Churyumov-Gerasimenko,” Monthly Notices of the Royal Astronomical Society, Vol. 462, Issue Suppl_1, S533-S546, Feb. 2017.
9. R. Marschall, et al., “Cliffs vs. Plains: Can ROSINA/COPS and OSIRIS data of comet 67P/Churyumov-Gerasimenko in autumn 2014 constrain inhomogeneous outgassing?” Astronomy & Astrophysics, Vol. 605, Issue A&A, A112, Sep. 2017.
10. R. Marschall, et al., "A comparison of multiple Rosetta data sets and 3D model calculations of 67P/Churyumov-Gerasimenko coma around equinox" Icarus, Volume 328, August 2019, Pages 104-126.