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Application of the Explicitly Iterative Scheme to Simulating Subsonic Reacting Gas Flows

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Abstract

This paper is devoted to the study of the possibility of applying an explicitly iterative (local iterative modified—LI-M) scheme for calculating dissipative terms in the solution of problems of subsonic reacting flows with radical chain reactions, active diffusion processes, significant heat transfer, and energy absorption. Simulation of such flows is characterized by a restriction on the integration time step, primarily due to the predominance of diffusion processes over convective ones and the presence of rapid chemical reactions. The mathematical model is described using the multicomponent Navier–Stokes equations. The combination of nonuniformy scaled processes in the model led to the use splitting by physical processes—chemical kinetics is integrated by the Radau method with adaptive time step, the convective flow is calculated using the Rusanov flux and WENO scheme, and dissipative flows are calculated using the explicitly iterative LI-M scheme. As a result, a numerical algorithm and computer code for studying subsonic reacting flows are developed and some computational experiments are carried out. A one-dimensional nonstationary inhomogeneous equation was solved to test the implemented algorithm. It is shown that the application of the LI-M scheme to the calculation of the dissipative part makes it possible to get rid of the diffusion restriction on the integration time step. Numerical simulation of the process of methane high-temperature conversion in axisymmetric geometry is carried out. This process is characterized by rapid chemical reactions, significant local changes in temperature, gas density, and thermophysical characteristics, which imposes significant restrictions on the integration time step. It is shown that the proposed algorithm makes it possible to perform calculations with a step exceeding the diffusion restrictions on the time step. The calculations are compared with calculations using a previously verified algorithm, and a good coincidence of the results with a significant gain in program execution time is demonstrated. Numerical simulation of the gas flow in a cylindrical pipe is carried out, and the results are verified by demonstrating grid convergence.

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REFERENCES

  1. S. L. Lawrence, J. C. Tannehill, and D. S. Chaussee, “Upwind algorithm for the parabolized Navier–Stokes equations,” AIAA J. 27 (9), 1175–1183 (1989).

    Article  Google Scholar 

  2. R. V. Zhalnin, V. F. Masyagin, and V. F. Tishkin, “Solving two-dimensional problems of gas dynamics using an implicit scheme for the discontinuous Galerkin method on unstructured triangular grids,” Numer. Anal. Appl. 15 (1), 16–26 (2022).

    Article  MathSciNet  Google Scholar 

  3. V. E. Borisov, B. V. Kritskii, and Yu. G. Rykov, Computer program MCFL-Chem for calculating high-velocity flows of a mixture of reacting gases, Preprint No. 21, IPM RAN (Keldysh Inst. of Applied Mathematics, Russian Academy of Sciences, Moscow, 2022).

  4. V. T. Zhukov, O. V. Feodoritova, N. D. Novikova, and A. P. Duben, “Explicit-iterative scheme for the time integration of a system of Navier–Stokes equations,” Math. Models Comput. Simul. 12 (6), 958–968 (2020).

    Article  MathSciNet  Google Scholar 

  5. V. N. Snytnikov, Vl. N. Snytnikov, N. S. Masyuk, T. V. Markelova, and V. N. Parmon, “A laser catalysis apparatus,” Instrum. Exp. Tech. 64 (3), 474–482 (2021).

    Article  Google Scholar 

  6. Yu. V. Vasilevskii, S. S. Simakov, T. M. Gamilov, V. Yu. Salamatova, T. K. Dobroserdova, G. V. Kopytov, O. N. Bogdanov, A. A. Danilov, M. A. Dergachev, D. D. Dobrovol’skii, O. N. Kosukhin, E. V. Larina, A. V. Meleshkina, E. Yu. Mychka, V. Yu. Kharin, K. V. Chesnokova, and A. A. Shipilov, “Personalization of mathematical models in cardiology: Difficulties and Perspectives,” Kompyut. Issled. Model., 4 (14), 911–930 (2022).

    Google Scholar 

  7. A. I. Sukhinov, A. E. Chistyakov, A. V. Nikitina, A. M. Atayan, and V. N. Litvinov, “A method for solving grid equations for hydrodynamic problems in flat areas,” Math. Models Comput. Simul. 15 (5), 802–816 (2023).

    Article  MathSciNet  Google Scholar 

  8. G. I. Marchuk, Splitting Methods (Nauka, Moscow, 1988) [in Russian].

    Google Scholar 

  9. M. S. Day and J. B. Bell, “Numerical simulation of laminar reacting flows with complex chemistry,” Combust. Theor. Model. 4 (4), 535–556 (2000).

    Article  Google Scholar 

  10. K. Fletcher, Computational Techniques for Fluid Dynamics, (Springer, New-York, 1991), vol. 2.

  11. J. R. Van Doormaal and G. D. Raithby, “Enhancement of the SIMPLE method for predicting incompressible fluid flow,” Heat Transfer 7, 147–163 (1984).

    Google Scholar 

  12. V. E. Borisov, A. A. Kuleshov, E. B. Savenkov, and S. E. Yakush, Computer program TCS 3D: Computational model, Preprint No. 110, IPM RAN (Keldysh Inst. of Applied Mathematics, Russian Academy of Sciences, Moscow, 2015).

  13. V. T. Zhukov, “Explicit methods of numerical integration for parabolic equations,” Math. Models Comput. Simul. 3 (3), 311–332 (2011).

    Article  MathSciNet  Google Scholar 

  14. V. T. Zhukov, N. D. Novikova, and O. B. Feodoritova, “An approach to time integration of the Navier–Stokes equations,” Comput. Math. Math. Phys. 60 (2), 272–285 (2020).

    Article  MathSciNet  Google Scholar 

  15. R. V. Zhalnin, E. E. Peskova, O. A. Stadnichenko, and V. F. Tishkin, “Simulation of flow of a multicomponent reacting gas using highly accurate algorithms,” Vestn. Udmurt. State Univ. Ser. Mat., Mekh., Kompyut. Nauki, 27 (1), 608–617 (2017).

    Google Scholar 

  16. I. M. Gubaydullin, R. V. Zhalnin, V. F. Masyagin, E. E. Peskova, and V. F. Tishkin, “Simulation of propane pyrolysis in a flow-through chemical reactor under constant external heating,” Mat. Models Comput. Simul. 13 (3), 437–444 (2021).

    Article  MathSciNet  Google Scholar 

  17. E. Hairer and G. Wanner, Solving Ordinary Differential Equations II. Stiff and Differential-Algebraic Problems (Springer, Berlin, 1996).

    Google Scholar 

  18. V. V. Rusanov, “The calculation of the interaction of non-stationary shock waves and obstacles,” USSR Comput. Math. Math. Phys. 1 (2), 304–320 (1962).

    Article  Google Scholar 

  19. C. W. Shu, “Essentially non-oscillatory and weighted essentially non-oscillatory schemes for hyperbolic conservation laws,” ICASE Rep. 1997, no. 97–65, p. 79.

  20. E. A. Lashina, V. N. Snytnikov, and E. E. Peskova, “Mathematical modeling of nonstationary temperature conversion of methane–ethane mixtures in a wide range of temperatures, Khimiya Interes. Ustoichivogo Razvitiya 31 (3), 288–296 (2023).

    Google Scholar 

  21. R. G. Rehm and H. R. Baum, “The equation of motion for thermally driven, buoyant flows,” J. Res. NBS 83 (3), 297–308 (1978).

    Google Scholar 

  22. A. Majda and J. Sethian, “The derivation and numerical solution of the equations for zero Mach number combustion,” Combust. Sci. Technol. 42, 185–205 (1986).

    Article  Google Scholar 

  23. O. A. Stadnichenko, V. N. Snytnikov, Vl. N. Snytnikov, and N. S. Masyuk, “Mathematical modeling of ethane pyrolysis in a flow reactor with allowance for laser radiation effects,” Chem. Eng. Res. Design. 109, 405–413 (2016).

    Article  Google Scholar 

  24. V. E. Borisov, A. A. Kuleshov, E. B. Savenkov, and S. E. Yakush, Computer program TCS 3D: Computational model, Preprint No. 6, IPM RAN (Keldysh Inst. of Applied Mathematics, Russian Academy of Sciences, Moscow, 2015).

  25. V. N. Snytnikov, E. E. Peskova, and O. P. Stoyanovskaya, “Mathematical model of a two-temperature medium of gas–solid nanoparticles with laser methane pyrolysis,” Mat. Models Comput. Simul. 15 (5), 877–893 (2023).

    Article  MathSciNet  Google Scholar 

  26. V. I. Lebedev and S. A. Finogenov, “Ordering of the iterative parameters in the cyclical Chebyshev iterative method,” USSR Comput. Math. Math. Phys. 11 (2), 155–170 (1971).

    Article  Google Scholar 

  27. V. F. Zaitsev and A. D. Polyanin, Partial Differential Equations: Handbook (Mezhdunarodnaya programma, Moscow, 1996) [in Russian].

  28. V. N. Snytnikov and E. M. Yurchenko, “A splitting scheme for problem of gas filtering with chemical reactions,” Vyschisl. Teknol. 6 (5), 95–105 (2001).

    Google Scholar 

  29. F. R. Gantmakher, The Theory of Matrices (Nauka, Moscow, 1966; Chelsea, New York, 1959).

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ACKNOWLEDGMENTS

We are grateful to V.N. Snytnikov for experimental data and useful discussion of the results.

Funding

This work was supported by the Russian Science Foundation, project no. 23-21-00202, https://rscf.ru/project/23-21-00202/.

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Correspondence to E. E. Peskova or O. S. Yazovtseva.

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Translated by A. Klimontovich

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Peskova, E.E., Yazovtseva, O.S. Application of the Explicitly Iterative Scheme to Simulating Subsonic Reacting Gas Flows. Comput. Math. and Math. Phys. 64, 326–339 (2024). https://doi.org/10.1134/S0965542524020106

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