A kinetic Fokker–Planck approach for modeling variable hard-sphere gas mixtures
Source abstract
Abstract
Kinetic Fokker–Planck (FP) methods for modeling rarefied gas flows have received increasing attention over the last few years. However, formulating such models for realistic multi-species gases is still an open subject of research. Therefore, in this letter, we develop a kinetic FP model for describing gas mixtures with particles interacting according to the variable hard-sphere interaction potential. In accordance with the kinetic FP framework, a stochastic solution algorithm is employed in order to solve the model on a particle level. Different test cases are carried out, and the performance of the proposed method is compared with the direct simulation Monte Carlo algorithm.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Gas Dynamics and Kinetic Theory · nanoparticles nucleation surface interactions · Optical properties and cooling technologies in crystalline materials
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
German Aerospace Center (DLR) , Bunsenstraße 10, 37073 Göttingen, Germany
References (28)
Show source-provided references
1. 2010
2. 1994
3. A solution algorithm for the fluid dynamic equations based on a stochastic model for molecular motion10.1016/j.jcp.2009.10.008 ↗
4. Fokker–Planck model for computational studies of monatomic rarefied gas flows10.1017/jfm.2011.188 ↗
5. A Fokker–Planck model of the Boltzmann equation with correct Prandtl number10.1007/s10955-015-1404-9 ↗
6. Fokker–Planck model of hydrodynamics10.1103/physreve.91.033303 ↗
7. A Fokker–Planck based kinetic model for diatomic rarefied gas flows10.1063/1.4811399 ↗
8. A Fokker–Planck model of the Boltzmann equation with correct Prandtl number for polyatomic gases10.1007/s10955-017-1837-4 ↗
9. A kinetic model for gas mixtures based on a Fokker–Planck equation10.1088/1742-6596/362/1/012042 ↗
10. A kinetic Fokker–Planck approach to model hard-sphere gas mixtures10.1063/1.5141909 ↗
11. Evaluation of particle-based continuum methods for a coupling with the direct simulation Monte Carlo method based on a nozzle expansion10.1063/1.5098085 ↗
12. Adaptive particle-cell algorithm for Fokker–Planck based rarefied gas flow simulations10.1016/j.cpc.2016.11.003 ↗
13. Assessment of the cubic Fokker–Planck-DSMC hybrid method for hypersonic rarefied flows past a cylinder10.1016/j.compfluid.2018.03.059 ↗
14. Cubic Fokker–Planck-DSMC hybrid method for diatomic rarefied gas flow through a slit and an orifice10.1016/j.vacuum.2018.10.028 ↗
15. Particle simulation of nonequilibrium gas flows based on ellipsoidal statistical Fokker–Planck model10.1016/j.compfluid.2018.04.034 ↗
16. Ellipsoidal statistical Fokker–Planck simulation of thermally induced gas flow in a ratchet microchannel10.1088/1742-6596/1168/3/032037 ↗
17. Monte-Carlo simulation in an engineering context10.2514/5.9781600865480.0239.0255 ↗
18. Recent advances and current challenges for DSMC10.1016/s0898-1221(97)00254-x ↗
19. A direct simulation Monte Carlo study of hypersonic leading-edge separation with rarefaction effects10.1063/1.5030931 ↗
20. SMILE system for 2D/3D DSMC computations
21. 2005 · 14510.1007/3-540-32386-4_9 ↗
22. Regularized moment equations for binary gas mixtures: Derivation and linear analysis10.1063/1.4945655 ↗
23. Automated Boltzmann collision integrals for moment equations10.1063/1.4769474 ↗
24. V. K. Gupta, “Mathematical modeling of rarefied gas-mixtures,” Ph.D. thesis, RWTH Aachen University, 2015.
25. Controlling the bias error of Fokker–Planck methods for rarefied gas dynamics simulations10.1063/1.5097884 ↗
26. Direct simulation Monte Carlo: The quest for speed10.1063/1.4902571 ↗
27. Variable soft sphere molecular model for inverse-power-law or Lennard-Jones potential10.1063/1.858184 ↗
28. Selfconsistent simulation of sputter deposition with the Monte Carlo method10.1063/1.356292 ↗