Counteracting ring formation in rotary kilns. The authors study a model which accounts for the production of cement in a rotary kiln. During this production process, rings may occur which may lead to shutdowns of the production in severe cases. The model starts with the Navier-Stokes equations which describe the conservation of the overall mass, of the concentration of the N species which are involved, of the momentum and of the energy. The authors here quote these equations from the books of {it F. A. Williams} [Combustion theory. 2nd ed. New York: Westview Press (1994)] and of {it K. K. Kuo} [Principles of combustion. 2nd ed. Chichester: Wiley (1999; Zbl 1050.80503)]. They then introduce the Reynolds averaged Navier-Stokes equations rewriting the above conservation laws. They also introduce a turbulence model based on Boussinesq’s assumption, leading to a so-called realizable k varepsilon model. The main part of the paper presents a numerical resolution of this model based on the finite volume technique and implemented in the software STAR-CCM+. The authors describe the cases of standard and modified operating conditions, considering the ratio between air and fuel. They prove that when this ratio increases from 9 to 12 the peaks in radiative heat transfer which creates the rings reduce in the zones of ring formation. Many figures illustrate the properties of the solution.

References in zbMATH (referenced in 30 articles , 1 standard article )

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  1. Majumdar, Pradip: Computational fluid dynamics and heat transfer (2022)
  2. E. Alinovi, J. Guerrero: FLUBIO -An unstructured, parallel, finite-volume based Navier–Stokes and convection-diffusion like equations solver for teaching and research purposes (2021) not zbMATH
  3. Higa, Kenneth; Battaglia, Vincent S.; Srinivasan, Venkat: PyGDH: Python Grid Discretization Helper (2021) not zbMATH
  4. Komen, E. M. J.; Hopman, J. A.; Frederix, E. M. A.; Trias, F. X.; Verstappen, R. W. C. P.: A symmetry-preserving second-order time-accurate PISO-based method (2021)
  5. Ya, Shukai; Eisenträger, Sascha; Song, Chongmin; Li, Jianbo: An open-source ABAQUS implementation of the scaled boundary finite element method to study interfacial problems using polyhedral meshes (2021)
  6. Huang, Ya-Nan; Wang, Wen-Hua; Liu, Jun; Wang, Yan-Ying: Special motion characteristic of wind turbine installation vessel in waves (2020)
  7. Vassilevski, Yuri; Terekhov, Kirill; Nikitin, Kirill; Kapyrin, Ivan: Parallel finite volume computation on general meshes (2020)
  8. Andrew Abi-Mansour: PyGran: An object-oriented library for DEM simulation and analysis (2019) not zbMATH
  9. Isaev, Sergey; Baranov, Paul; Popov, Igor; Sudakov, Alexander; Usachov, Alexander; Guvernyuk, Sergey; Sinyavin, Alexei; Chulyunin, Alexei; Mazo, Alexander; Demidov, Dennis; Dekterev, Alexander; Gavrilov, Andrey; Shebelev, Alexander: Numerical simulation and experiments on turbulent air flow around the semi-circular profile at zero angle of attack and moderate Reynolds number (2019)
  10. Rodriguez, Sal: Applied computational fluid dynamics and turbulence modeling. Practical tools, tips and techniques (2019)
  11. Domingie, Dimitri; Deuff, Jean-Baptiste; Perelman, Olivier: Experimental and numerical analysis of liquid counterflow jets: study of resurgent jet generation (2018)
  12. Hur, Nahmkeon; Moshfeghi, Mohammad; Lee, Wonju: Flow and performance analyses of a partially-charged water retarder (2018)
  13. Serrano, J. R.; Piqueras, P.; Navarro, R.; Tarí, D.; Meano, C. M.: Development and verification of an in-flow water condensation model for 3D-CFD simulations of humid air streams mixing (2018)
  14. Smith, Alastair J.; Wells, Clive G.; Kraft, Markus: A new iterative scheme for solving the discrete Smoluchowski equation (2018)
  15. Gada, Vinesh H.; Tandon, Mohit P.; Elias, Jebin; Vikulov, Roman; Lo, Simon: A large scale interface multi-fluid model for simulating multiphase flows (2017)
  16. Kabanda, Patrick; Wang, Mingbo: Numerical simulation of barite sag in pipe and annular flow (2017)
  17. Komen, E. M. J.; Camilo, L. H.; Shams, A.; Geurts, B. J.; Koren, B.: A quantification method for numerical dissipation in quasi-DNS and under-resolved DNS, and effects of numerical dissipation in quasi-DNS and under-resolved DNS of turbulent channel flows (2017)
  18. Dimitriou, Ioannis; Rodríguez, Juan Ángel: Quantitative analysis of two-dimensional flow visualizations using the geometric potential method (2016)
  19. Addad, Yacine; Zaidi, Imama; Laurence, Dominique: Quasi-DNS of natural convection flow in a cylindrical annuli with an optimal polyhedral mesh refinement (2015)
  20. Baek, Dong-Geun; Yoon, Hyun-Sik; Jung, Jae-Hwan; Kim, Ki-Sup; Paik, Bu-Geun: Effects of the advance ratio on the evolution of a propeller wake (2015)

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