### Uittreksel

Non-premixed turbulent combustion in a laboratory scale flame (Delft III flame) is studied using a statistical description at the one-point one-time joint velocity—scalar composition probability density function (PDF) level. The PDF evolution equation is solved using a stochastic Lagrangian Monte Carlo method.The PDF equation requires a so called micro-mixing model for closure and the performance of two micro-mixing models is investigated. The Interaction by Exchange with the Mean (IEM) micro mixing model is the most commonly adopted model. The IEM model was developed for the scalar PDF method and does not depend on velocity statistics.Aphysically more sound extension of the IEM is the Interaction by Exchange with the Conditional Mean (IECM) which involves mixing of the scalars towards mean values conditional on the velocity. Both models are applied in this work and it is shown that the IECM model does perform significantly better than the simple IEM model.

Originele taal-2 | Engels |
---|---|

Titel | Stochastic equations for complex systems |

Subtitel | theoretical and computational topics |

Redacteuren | Stefan Heinz, Hakima Bessaih |

Plaats van productie | Berlin |

Uitgeverij | Springer |

Pagina's | 143-174 |

Aantal pagina's | 32 |

ISBN van geprinte versie | 978-3-319-18205-6 |

DOI's | |

Status | Gepubliceerd - 1 jan 2015 |

### Publicatie series

Naam | Mathematical Engineering |
---|---|

Volume | 20 |

ISSN van geprinte versie | 2192-4732 |

### Vingerafdruk

### Citeer dit

*Stochastic equations for complex systems: theoretical and computational topics*(blz. 143-174). (Mathematical Engineering; Vol. 20). Berlin: Springer. https://doi.org/10.1007/978-3-319-18206-3_7

}

*Stochastic equations for complex systems: theoretical and computational topics.*Mathematical Engineering, vol. 20, Springer, Berlin, blz. 143-174. https://doi.org/10.1007/978-3-319-18206-3_7

**Monte Carlo simulations of turbulent non-premixed combustion using a velocity conditioned mixing model.** / Stoellinger, Michael; Efimov, Denis; Roekaerts, Dirk.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Hoofdstuk › Academic › peer review

TY - CHAP

T1 - Monte Carlo simulations of turbulent non-premixed combustion using a velocity conditioned mixing model

AU - Stoellinger, Michael

AU - Efimov, Denis

AU - Roekaerts, Dirk

PY - 2015/1/1

Y1 - 2015/1/1

N2 - Non-premixed turbulent combustion in a laboratory scale flame (Delft III flame) is studied using a statistical description at the one-point one-time joint velocity—scalar composition probability density function (PDF) level. The PDF evolution equation is solved using a stochastic Lagrangian Monte Carlo method.The PDF equation requires a so called micro-mixing model for closure and the performance of two micro-mixing models is investigated. The Interaction by Exchange with the Mean (IEM) micro mixing model is the most commonly adopted model. The IEM model was developed for the scalar PDF method and does not depend on velocity statistics.Aphysically more sound extension of the IEM is the Interaction by Exchange with the Conditional Mean (IECM) which involves mixing of the scalars towards mean values conditional on the velocity. Both models are applied in this work and it is shown that the IECM model does perform significantly better than the simple IEM model.

AB - Non-premixed turbulent combustion in a laboratory scale flame (Delft III flame) is studied using a statistical description at the one-point one-time joint velocity—scalar composition probability density function (PDF) level. The PDF evolution equation is solved using a stochastic Lagrangian Monte Carlo method.The PDF equation requires a so called micro-mixing model for closure and the performance of two micro-mixing models is investigated. The Interaction by Exchange with the Mean (IEM) micro mixing model is the most commonly adopted model. The IEM model was developed for the scalar PDF method and does not depend on velocity statistics.Aphysically more sound extension of the IEM is the Interaction by Exchange with the Conditional Mean (IECM) which involves mixing of the scalars towards mean values conditional on the velocity. Both models are applied in this work and it is shown that the IECM model does perform significantly better than the simple IEM model.

UR - http://www.scopus.com/inward/record.url?scp=84928981366&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-18206-3_7

DO - 10.1007/978-3-319-18206-3_7

M3 - Chapter

AN - SCOPUS:84928981366

SN - 978-3-319-18205-6

T3 - Mathematical Engineering

SP - 143

EP - 174

BT - Stochastic equations for complex systems

A2 - Heinz, Stefan

A2 - Bessaih, Hakima

PB - Springer

CY - Berlin

ER -