1 Available online at ScienceDirect Energy Procedia 82 (2015 ) ATI th Conference of the ATI Engineering Association LES of the Sandia Flame D Using an FPV Combustion Model M. Di Renzo a, A. Coclite a, M. D. de Tullio a, P. De Palma a, * and G. Pascazio a a Department of Mechanic, Mathematic and Management, CEMeC, Polytechnic of Bari, via Re David 200, Bari, Italy Abstract The simulation of turbulent combustion phenomena is still an open problem in modern fluid dynamics. Considering the economical importance of hydrocarbon combustion in energy production processes, it is evident the need of an accurate tool with a relatively low computational cost for the prediction of this kind of reacting flows. In the present work, a comparative study is carried out among large eddy simulations, performed with various grid resolutions, a Reynolds averaged Navier-Stokes simulation, and experimental data concerning the well-known Sandia D flame test case. In all the simulations, a flamelet progress variable model has been employed using various hypotheses for the joint probability density function closure. The filtered approach proved to be more accurate than the averaged one, even for the coarser grid used in this work. In fact both approaches have shown poorly accurate predictions in the first part of the combustion chamber, but only by the large eddy simulation one is capable to recover the inlet discrepancies with respect to the experimental data going along the streamwise direction The The Authors. Authors. Published Published by Elsevier by Elsevier Ltd. This Ltd. is an open access article under the CC BY-NC-ND license ( Selection and/or peer-review under responsibility of ATI Peer-review under responsibility of the Scientific Committee of ATI 2015 Keywords: Large Eddy Simulation; Flamelet Progress Variable; Partialy premixed flame; Methane-Air combustion. Nomenclature T U Z fluid temperature fluid axial velocity mixture fraction fluid molecular diffusivity * Corresponding author. Tel.: ; fax: address: The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license ( Peer-review under responsibility of the Scientific Committee of ATI 2015 doi: /j.egypro
2 M. Di Renzo et al. / Energy Procedia 82 ( 2015 ) fluid density mole fraction of the i th species scalar dissipation rate of the mixture faction scalar dissipation rate of the mixture faction computed at the stoichiometric point chemical production of the quantity Favre averaged variable Reynolds averaged variable Reynolds averaged variable fluctuation Variance 1. Introduction Even considering the large effort spent in the study of renewable energy resources, most of the energy used in industrial, civil and military applications comes from the combustion of hydrocarbons. Since, looking at the recent U.S. Energy Information Administration outlooks (2015), the importance of these fuels is going to rise over the next years, it appears worth developing tools able to improve the efficiency of the combustion processes. In particular, modeling of turbulent combustion is one of the open problems in the field of reactive flow simulations. A direct approach, where the entire combustion phenomena is computed at runtime, is in fact inapplicable to flows at high Reynolds number such as those of practical interest. The possible choices developed nowadays for the solution of this problem can be categorized in two groups: those that aim at reducing the number of species in the system and those that reduce the kinetic mechanism into a functional manifold. In particular, in the steady flamelet approach , which belongs to the second group, it is assumed that the Karlovitz number (the ratio between the chemical time scale and the Kolmogorov time scale) is much smaller than one, thus allowing the chemical proprieties to be computed in a space with a direction normal to the flame front and two directions tangential to it. For a diffusive flame, the advantage of using this frame of reference comes from expressing each thermo-chemical quantity as, where. The functional form for used in this work is the solution of the steady flamelet equation: In this way, for each stoichiometric scalar diffusion rate, it is possible to identify a solution composed of the distributions of each, which will later be referred as flamelet. Solving this equation it is possible to obtain the well-known S-curve, shown in Fig. 1, where for each between the ignition and extinction points, the equation has three solutions branches: the non-ignited branch (coinciding with the x axis in Fig. 1); the metastable branch and the stable branch.
3 404 M. Di Renzo et al. / Energy Procedia 82 ( 2015 ) Fig. 1 S-curve for diluted methane-air combustion An accurate approach to distinguish the three branches of the S-curve has been proposed by Pierce and Moin  and later developed by Ihme et. al. [3,4] and by Coclite et. al. [5,6] and is referred as the Flamelet Progress Variable (FPV) approach. The idea is to substitute, in the mapping of, with a progress variable, that identifies the degree of completion of the combustion process. In this way it is possible to formulate the mapping of thermo-chemical quantities as, where and is defined as the sum of the major combustion products mass fractions (in this case CO2, H2O, CO and H2). The procedure allows one to distinguish between the various solutions relative to the same stoichiometric dissipation rate. In addition to this model of the interaction between turbulence and chemistry, it has to be mentioned that, when the Navier-Stokes equations are solved using a turbulence model, namely when Reynolds Averaged Navier-Stokes (RANS) equations or Large Eddy Simulation (LES) are employed, the problem is formulated as function of the mass-weighted averages. Therefore, an additional model is required to evaluate the joint Favre averaged Probability Density Function (PDF) ( ), which is needed to evaluate the mass-weighted average of, as: The shape of the joint PDF has to be presumed and the number of statistical moments of Z and C needed to determine the PDF are computed during the simulation by solving suitable additional transport equations. The present work reports the validation of a newly developed LES code for the simulation of reactive flows using the FPV model by a comparison with the results obtained using an in-house recently developed RANS solver employing an original SMLD-FPV approach (see references [5,6,7] for the details of the RANS methodology). The flame Sandia D  is computed employing two grid densities and the LES code in order to provide a grid sensitivity study on this particular flame. 2 Mathematical Model For the combustion test case considered in this work and the value of the Mach number well below the limit of 0.3, it has been possible to solve the Navier-Stokes equations decoupling the energy balance from the momentum and mass conservation equations. The density is therefore computed as a function of
4 M. Di Renzo et al. / Energy Procedia 82 ( 2015 ) mixture composition and temperature. The continuity and momentum balance equations, filtered using a top-hat filter, are then solved using the second order accurate scheme of Ham et. al.  on an unstructured collocated grid. The sub-grid residual stress tensor is determined using the Germano et. al. [10,11] dynamic Smagorinsky model. At the inlet points, 500 Fourier modes have been superimposed to the mean velocity profile using the technique proposed by Keating and Piomelli  in order to match the experimental data provided by Schneider et. al. . Although a sensitivity analysis of the flame structure to the inlet turbulent fluctuations is not available in literature, to the best of the authors knowledge, matching the local Reynolds stress tensor is important to recover the correct mixing process inside the chamber. As described in the introduction, the combustion phenomena will be modeled by the FPV approach. In particular the formulation used for the calculation of the joint PDF of Z and is based on the hypothesis of statistical independence of the two scalars as: where the marginal PDF of Z and the conditional PDF of have been assumed equal to a beta distribution and a delta function, respectively. Thus, three additional scalar transport equations have been solved for and . The turbulent diffusivity of the transported scalars has been calculated using the dynamic procedure proposed by Pierce and Moin . In order to limit the computational cost of the evaluation of the residual diffusive stresses, they have been computed only for the field and assumed equal for the other two scalars. 3 Test case description The test case considered in the present work is the well-known Sandia D flame . It consists of an open flame at atmospheric pressure where a mixture of methane and air (25-75%), injected from a nozzle of 7.2mm of diameter (later referred as D nozzle) at a velocity of 49.6 m/s, reacts with a pilot composed of the products of a lean pre-combustion of methane with air. The pilot flow is injected through a nozzle with an outer diameter of 18.2mm at a mean flow velocity of 11.4 m/s. The pilot is then surrounded by a co-flow at about 1 m/s, as shown in Fig. 2. The Reynolds number based on the fuel flow properties and fuel nozzle diameter is equal to The computational domain dimensions used in the simulation are: 80 D nozzle, 27.5 D nozzle and 2, along the axial, radial and tangential directions, respectively. The numbers of points used for the two grids employed are summarized in Table 1. The radial number of points does not follow the same increment of the other directions because of the mesh topology used in the simulation. In fact, in order to avoid a particular centerline treatment, the central region of the control volume has been discretized using a Cartesian topology, whereas the rest is discretized as an O grid. For this reason, given a target on the mesh element size, the increment of points in the tangential direction allows one to use fewer points in the radial direction especially in the fuel nozzle region.
5 406 M. Di Renzo et al. / Energy Procedia 82 ( 2015 ) Fig. 2 LES using the finer grid: instantaneous temperature contour plot Table 1. Summary of mesh size Grid name Axial points Radial points Tangential points Total cell. number Coarse Fine All the simulations, initialized with velocity and scalar field equal to zero, have been run over 10 flowthrough times in order to achieve the statistical stationary condition and then the time-averaged quantities have been computed over other 10 flow-through times. 4. Results In this section, the results of the LES simulations will be compared with the results of the RANS simulations of Coclite et al.  and with experimental data [8,13] for validation. It is noteworthy that RANS simulations have been performed using a Statistically Most Likely Distribution (SMLD) approach to determine the joint Favre average PDF of Z and. The effects of this model are still unknown in the LES and therefore this may constitute a source of discrepancy between the two sets of results. 4.1 Profiles along the centerline Fig. 3 provides the Reynolds averages and Root Mean Squared (RMS) of temperature, mixture fraction and axial velocity component along the centerline up to 80 D nozzle. There is a substantial agreement concerning the mean profiles between the simulations and the experimental data. LES appears to be more accurate, especially in the rear part of the combustion chamber. In particular considering the velocity profile, the Reynolds averaged simulations predict a steeper but lower decrease of the velocity magnitude in the middle of the combustion chamber with respect to the experimental data and to the LES.
6 M. Di Renzo et al. / Energy Procedia 82 ( 2015 ) Fig. 3 Mean and RMS plot of temperature, mixture fraction and axial velocity along the centerline The RMS are plotted only for the LES cases because they are not available for the RANS simulation. The largest discrepancy between the experimental and numerical data is obtained for the RMS of Z at the inlet section, due to the inlet condition imposed during the simulation. Moreover, further analyses are being performed in order to better understand the discrepancies observed in the RMS profiles of T at the chamber outlet and of U at 30 diameters from the inlet. 4.2 Radial profiles Fig. 4 provides the radial profiles for Reynolds averaged temperature, mixture fraction and axial velocity at three different axial positions. Starting with the analysis of the temperature plots, it is evident that the LES slightly overestimates the energy released by combustion process, whereas the RANS underestimates it. In the first case, this effect disappears going through the combustion chamber, in fact in the last section the difference between the results and the experimental data is negligible. Instead, in the RANS simulation, this effect appears for all the analyzed sections. This result can be explained considering that the combustion process is mainly governed by diffusion and both approaches model the great part of the turbulent diffusion process. This also explains the reason why the LES accuracy improves along the combustion chamber. In fact, the turbulent length scales decrease with the distance from the fuel nozzle, letting the LES model to solve a larger part of the turbulent scales spectrum and to provide a better estimation of the diffusion processes. For the same reason, the field of the passive scalar Z is more accurate in the LES simulations.
7 408 M. Di Renzo et al. / Energy Procedia 82 ( 2015 ) Furthermore, in these plots it is possible to note that the LES provides a velocity field that is closer to the experimental data with respect to the RANS. 5. Conclusions In the present work a comparison among reactive flow simulations performed using different turbulence modeling approaches has been provided in order to assess the effective gain in accuracy of LES with respect to RANS simulations for partially premixed methane-air combustion. The LES simulation has been coupled with a standard FPV combustion model, whereas the RANS employs a more accurate SMLD approach. The LES has a significant increase of computational cost, even using a relatively coarse grid. However, it has been shown that, at least for the considered test case, the increased accuracy in the LES flow description overcomes the performance of the RANS-SMLD model. Fig. 4 Radial profiles of mean and rms plot of temperature, mixture fraction and axial velocity at x/d nozzle=15,30,45 It is still a trade-off problem, between computational time and flow description accuracy, to decide whether it is better to use an LES or RANS for practical cases. However, looking at the differences observed in this work, it seems that even a low-resolved LES can be more accurate than a RANS simulation for this kind of flows, with an acceptable computational cost. Future work will aim at extending the recently developed joint-pdf SMLD approach, already employed in conjunction with the RANS model, to the large eddy simulation.
8 M. Di Renzo et al. / Energy Procedia 82 ( 2015 ) Acknowledgements This research has been supported by grant n. PON03PE APULIA SPACE. References [ F. A. Williams, "Recent advances in theoretical descriptions of turbulent diffusion flames," Turbulent Mixing in 1] Nonreactive and Reactive Flows, pp , [ C. D. Pierce and P. Moin, "Progress-variable approach for large-eddy simulation of non-premixed turbulent combustion," 2] Journal of Fluid Mechanics, vol. 504, pp , [ M. Ihme and H. Pitsch, "Prediction of extinction and reignition in nonpremixed turbulent flames using a flamelet/progress 3] variable model 1. A priori study and presumed PDF closure," Combustion and Flame, vol. 155, pp , [ M. Ihme and H. Pitsch, "Prediction of extinction and reignition in nonpremixed turbulent flames using a flamelet/progress 4] variable model 2. Application in LES of Sandia flames D and E," Combustion and Flame, vol. 155, pp , [ A. Coclite, G. Pascazio, P. De Palma, and L. Cutrone, "The role of presumed probability density function in the simulation 5] of non premixed turbulent combustion," in EUCASS 2013, [ A. Coclite, G. Pascazio, P. De Palma, L. Cutrone, and M. Ihme, "An SMLD Joint PDF Model for Turbulent Non-Premixed 6] Combustion Using the Flamelet Progress-Variable Approach," Flow, Turbulence and Combustion, vol. 95, no. 1, April [ L. Cutrone, P. De Palma, G. Pascazio, and M. Napolitano, "A RANS flamelet progress-variable method for computing 7] reacting flows of real-gas mixtures," Computers & Fluids, vol. 39, pp , [ R. S. Barlow. (1996) International Workshop on Measurement and Computation of Turbulent Nonpremixed Flames (TNF). 8] [Online]. HYPERLINK " [ F. Ham, "An efficient scheme for large eddy simulation of low-ma combustion in complex configurations," in Center for 9] Turbulence Research Annual Research Briefs, [ 10] [ 11] [ 12] [ 13] M. Germano, U. Piomelli, P. Moin, and W. H. Cabot, "A dynamic subgrid-scale eddy viscosity model," Physics of Fluids, vol. 3, no. A, pp , July D. K. Lilly, "A proposed modification of the Germano subgrid-scale closure method," Physics of Fluids, vol. 4, no. A, pp , March A. Keating and U. Ugo Piomelli, "Synthetic generation of inflow velocities for large-eddy simulation," in 34th AIAA Fluid Dynamic Conference and Exhibit, Portland, Oregon, Ch. Schneider, A. A. Dreizler, J. Janicka, and E. P. Hassel, "Flow field measurements of stable and locally extinguishing hydrocarbon-fuelled jet flames," Combustion and Flame, no. 135, pp , Biography Pietro De Palma was born in Bari (Italy) in He obtained the Diploma Course at the VKI in 1990 and the Ph. D. in Mechanical Engineering at Politecnico di Bari where, from December 2003, he is professor of hydraulic and thermal machines.
43rd AIAA Aerospace Sciences Meeting and Exhibit, -3 Jan 25, Reno, NV An Unsteady/Flamelet Progress Variable Method for LES of Nonpremixed Turbulent Combustion Heinz Pitsch and Matthias Ihme Stanford University,
8 th U. S. National Combustion Meeting Organized by the Western States Section of the Combustion Institute and hosted by the University of Utah May 19-22, 2013 A comparison between two different Flamelet
Center for Turbulence Research Annual Research Briefs 2007 231 Large-eddy simulation of an industrial furnace with a cross-flow-jet combustion system By L. Wang AND H. Pitsch 1. Motivation and objectives
Loughborough University Institutional Repository Sensitivity analysis of LES-CMC predictions of piloted jet flames This item was submitted to Loughborough University's Institutional Repository by the/an
47th AIAA Aerospace Sciences Meeting Including The New Horizons Forum and Aerospace Exposition 5-8 January 29, Orlando, Florida AIAA 29-239 Large-Eddy Simulation of a Turbulent Lifted Flame in a Vitiated
Sonderforschungsbereich/Transregio 4 Annual Report 213 139 Steady Laminar Flamelet Modeling for turbulent non-premixed Combustion in LES and RANS Simulations By H. Müller, C. A. Niedermeier, M. Pfitzner
Graduate Theses and Dissertations Iowa State University Capstones, Theses and Dissertations 217 RANS-SLFM and LES-SLFM numerical simulations of turbulent non-premixed oxy-fuel jet flames using CO2/O2 mixture
Consistent turbulence modeling in a hybrid LES/RANS PDF method for non-premixed flames F. Ferraro, Y. Ge and M. Pfitzner Institut für Thermodynamik, Fakultät für Luft- und Raumfahrrttechnik Universität
RESOLVING TURBULENCE- CHEMISTRY INTERACTIONS IN MIXING-CONTROLLED COMBUSTION WITH LES AND DETAILED CHEMISTRY Convergent Science White Paper COPYRIGHT 218 CONVERGENT SCIENCE. All rights reserved. OVERVIEW
Center for Turbulence Research Annual Research Briefs 2011 237 LES of an auto-igniting C 2 H 4 flame DNS By E. Knudsen, E. S. Richardson, J. H. Chen AND H. Pitsch 1. Motivation and objectives Large eddy
Process Chemistry Toolbox - Mixing Industrial diffusion flames are turbulent Laminar Turbulent 3 T s of combustion Time Temperature Turbulence Visualization of Laminar and Turbulent flow http://www.youtube.com/watch?v=kqqtob30jws
Available online at www.sciencedirect.com ScienceDirect Procedia Engineering 9 (214 ) 599 64 1th International Conference on Mechanical Engineering, ICME 213 Validation criteria for DNS of turbulent heat
Center for Turbulence Research Annual Research Briefs 009 199 Towards regime identification and appropriate chemistry tabulation for computation of autoigniting turbulent reacting flows By M. Kostka, E.
Grid resolution effects on LES of a piloted methane-air flame K. A. Kemenov, H. Wang, S. B. Pope Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY 14853 Abstract The
LARGE-EDDY SIMULATION OF PARTIALLY PREMIXED TURBULENT COMBUSTION Heinz Pitsch Mechanical Engineering Department Stanford University Stanford, CA 94305, USA email@example.com ABSTRACT The development
Annu. Rev. Fluid Mech. 2006. 38:453 82 The Annual Review of Fluid Mechanics is online at fluid.annualreviews.org doi: 10.1146/annurev.fluid. 38.050304.092133 Copyright c 2006 by Annual Reviews. All rights
Available online at www.sciencedirect.com Proceedings of the Combustion Institute 34 (2013) 1231 1239 Proceedings of the Combustion Institute www.elsevier.com/locate/proci Subgrid-scale mixing of mixture
The Influence of Chemical Mechanisms on PDF Calculations of Nonpremixed Piloted Jet Flames Renfeng Cao and Stephen B. Pope Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca,
Premixed and non-premixed generated manifolds in large-eddy simulation of Sandia flame D and F Preprint; published in Combustion & Flame 153, 394-416 (28) A.W. Vreman 1,2,3, B.A. Albrecht 1, J.A. van Oijen
Center for Turbulence Research Annual Research Briefs 2006 41 A dynamic global-coefficient subgrid-scale eddy-viscosity model for large-eddy simulation in complex geometries By D. You AND P. Moin 1. Motivation
Monte Carlo Methods Appl. Vol. No. (), pp. 43 DOI 5 / MCMA.7. c de Gruyter PDF Modeling and Simulation of Premixed Turbulent Combustion Michael Stöllinger and Stefan Heinz Abstract. The use of probability
Monte Carlo Methods Appl. Vol. 4 No. 4 (8), pp. 343 377 DOI. / MCMA.8.6 c de Gruyter 8 PDF modeling and simulation of premixed turbulent combustion Michael Stöllinger and Stefan Heinz Abstract. The use
Combustion and Flame 142 (2005) 329 347 www.elsevier.com/locate/combustflame Large-eddy simulation of a bluff-body-stabilized non-premixed flame using a recursive filter-refinement procedure Venkatramanan
25 th ICDERS August 2-7th, 2015 Leeds, UK Simulation of Turbulent Lifted Flames and their Transient Propagation S. Ruan, Z. Chen, N. Swaminathan University of Cambridge Cambridge, UK 1 Introduction Turbulent
Center for Turbulence Research Annual Research Briefs 27 241 Simulation of a lean direct injection combustor for the next high speed civil transport (HSCT) vehicle combustion systems By H. El-Asrag, F.
1 Advanced Turbulence Models for Emission Modeling in Gas Combustion Ville Tossavainen, Satu Palonen & Antti Oksanen Tampere University of Technology Funding: Tekes, Metso Power Oy, Andritz Oy, Vattenfall
Center for Turbulence Research Annual Research Briefs 2008 219 Large-eddy simulation analysis of turbulent combustion in a gas turbine engine combustor By D. You, F. Ham AND P. Moin 1. Motivation and objectives
Center for Turbulence Research Annual Research Briefs 2 2 An evaluation of a conservative fourth order DNS code in turbulent channel flow By Jessica Gullbrand. Motivation and objectives Direct numerical
Lecture 14 Turbulent Combustion 1 We know what a turbulent flow is, when we see it! it is characterized by disorder, vorticity and mixing. In a fluid flow, turbulence is characterized by fluctuations of
Available online at www.sciencedirect.com Proceedings of the Combustion Institute 32 (29) 545 553 Proceedings of the Combustion Institute www.elsevier.com/locate/proci Radiation of noise in turbulent non-premixed
Center for Turbulence Research Annual Research Briefs 2002 3 A G-equation formulation for large-eddy simulation of premixed turbulent combustion By H. Pitsch 1. Motivation and objectives Premixed turbulent
Flow Structure Investigations in a "Tornado" Combustor Igor Matveev Applied Plasma Technologies, Falls Church, Virginia, 46 Serhiy Serbin National University of Shipbuilding, Mikolayiv, Ukraine, 545 Thomas
Large Eddy Simulation of Piloted Turbulent Premixed Flame Veeraraghava Raju Hasti, Robert P Lucht and Jay P Gore Maurice J. Zucrow Laboratories School of Mechanical Engineering Purdue University West Lafayette,
CFD and Kinetic Analysis of Bluff Body Stabilized ame A. Dicorato, E. Covelli, A. Frassoldati, T. Faravelli, E. Ranzi Dipartimento di Chimica, Materiali e Ingegneria Chimica, Politecnico di Milano, ITALY
Modeling Turbulent Combustion CEFRC Combustion Summer School 2014 Prof. Dr.-Ing. Heinz Pitsch Copyright 2014 by Heinz Pitsch. This material is not to be sold, reproduced or distributed without prior written
DEPARTMENT OF ENERGETICS Turbulence: Basic Physics and Engineering Modeling Numerical Heat Transfer Pietro Asinari, PhD Spring 2007, TOP UIC Program: The Master of Science Degree of the University of Illinois
biblio.ugent.be The UGent Institutional Repository is the electronic archiving and dissemination platform for all UGent research publications. Ghent University has implemented a mandate stipulating that
LES-CMC of a dilute acetone spray flame with pre-vapor using two conditional moments S. Ukai, A. Kronenburg, O.T. Stein Institut für Technische Verbrennung, Universität Stuttgart, 774 Stuttgart, Germany
Center for Turbulence Research Annual Research Briefs 2009 185 A validation study of the flamelet approach s ability to predict flame structure when fluid mechanics are fully resolved By E. Knudsen AND
DOI 10.1007/s10494-009-9223-1 A Priori Testing of Flamelet Generated Manifolds for Turbulent Partially Premixed Methane/Air Flames W. J. S. Ramaekers J. A. van Oijen L. P. H. de Goey Received: 7 September
9 th U. S. National Combustion Meeting Organized by the Central States Section of the Combustion Institute May 17-20, 2015 Cincinnati, Ohio Modeling of Wall Heat Transfer and Flame/Wall Interaction A Flamelet
LES-PDF SIMULATION OF A HIGHLY SHEARED TURBULENT PILOTED PREMIXED FLAME Abstract V. N. Prasad, K. H. Luo and W. P. Jones firstname.lastname@example.org School of Engineering Sciences, University of Southampton, Southampton
This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution
Center for Turbulence Research Annual Research Briefs 2005 325 The dynamics of premixed flames propagating in non-uniform velocity fields: Assessment of the significance of intrinsic instabilities in turbulent
DOI 10.1007/s10494-011-9380-x Turbulence Resolution Scale Dependence in Large-Eddy Simulations of a Jet Flame Konstantin A. Kemenov Haifeng Wang Stephen B. Pope Received: 20 April 2011 / Accepted: 8 November
LES Approaches to combustion LES Approaches to combustion LES Approaches to Combustion W P Jones Department of Mechanical Engineering Imperial College London Exhibition Road London SW7 2AZ SIG on Combustion
MCS 7 Chia Laguna, Cagliari, Sardinia, Italy, September 11-15, 2011 HYBRID RANS/PDF CALCULATIONS OF A SWIRLING BLUFF BODY FLAME ( SM1 ): INFLUENCE OF THE MIXING MODEL R. De Meester 1, B. Naud 2, B. Merci
The application of Flamelet Generated Manifolds in partailly-premixed flames Ramaekers, W.J.S.; Albrecht, B.A.; van Oijen, J.A.; de Goey, L.P.H.; Eggels, R.L.G.M. Published in: Proceedings of the Fluent
RECONSTRUCTION OF TURBULENT FLUCTUATIONS FOR HYBRID RANS/LES SIMULATIONS USING A SYNTHETIC-EDDY METHOD N. Jarrin 1, A. Revell 1, R. Prosser 1 and D. Laurence 1,2 1 School of MACE, the University of Manchester,
FLAME AND EDDY STRUCTURES IN HYDROGEN AIR TURBULENT JET PREMIXED FLAME M. Shimura, K. Yamawaki, Y.-S. Shim, M. Tanahashi and T. Miyauchi Department of Mechanical and Aerospace Engineering Tokyo Institute
Insights into Model Assumptions and Road to Model Validation for Turbulent Combustion Venke Sankaran AFRL/RQR 2015 AFRL/RQR Basic Research Review UCLA Jan 20, 2015 AFTC PA Release# 15011, 16 Jan 2015 Goals
Journal of Physics: Conference Series PAPER OPEN ACCESS Impact of numerical method on auto-ignition in a temporally evolving mixing layer at various initial conditions To cite this article: A Rosiak and
Loughborough University Institutional Repository LES of recirculation and vortex breakdown in swirling flames This item was submitted to Loughborough University's Institutional Repository by the/an author.
Examination of the effect of differential molecular diffusion in DNS of turbulent non-premixed flames Chao Han a, David O. Lignell b, Evatt R. Hawkes c, Jacqueline H. Chen d, Haifeng Wang a, a School of
35 th UKELG Meeting, Spadeadam, 10-12 Oct. 2017 CFD Analysis of Vented Lean Hydrogen Deflagrations in an ISO Container Vendra C. Madhav Rao & Jennifer X. Wen Warwick FIRE, School of Engineering University
An Introduction to Theories of Turbulence James Glimm Stony Brook University Topics not included (recent papers/theses, open for discussion during this visit) 1. Turbulent combustion 2. Turbulent mixing
Overview of Turbulent Reacting Flows Outline Various Applications Overview of available reacting flow models LES Latest additions Example Cases Summary Reacting Flows Applications in STAR-CCM+ Ever-Expanding
J. Fluid Mech. (24), vol. 518, pp. 231 259. c 24 Cambridge University Press DOI: 1.117/S22112414 Printed in the United Kingdom 231 Extinction and reignition in a diffusion flame: a direct numerical simulation
Computational Fluid Dynamics In Chemical Reaction Engineering IV June 19-24, 2005 Barga, Italy DNS and LES of Turbulent Combustion Luc Vervisch INSA de Rouen, IUF, CORIA-CNRS Pascale Domingo, Julien Réveillon
Center for Turbulence Research Annual Research Briefs 2005 269 A Ghost-fluid method for large-eddy simulations of premixed combustion in complex geometries By V. Moureau, P. Minot, C. Bérat AND H. Pitsch
Center for Turbulence Research Annual Research Briefs 999 59 Direct numerical simulation of a turbulent reacting jet By B. J. Boersma. Motivation and objectives Turbulent reacting jets are important in
ADVANCED DES SIMULATIONS OF OXY-GAS BURNER LOCATED INTO MODEL OF REAL MELTING CHAMBER Ing. Vojtech Betak Ph.D. Aerospace Research and Test Establishment Department of Engines Prague, Czech Republic Abstract
CHARACTERISTIC OF VORTEX IN A MIXING LAYER FORMED AT NOZZLE PITZDAILY USING OPENFOAM Suheni and Syamsuri Department of Mechanical Engineering, Adhi Tama Institute of Technology Surabaya, Indonesia E-Mail:
Turbulence Modeling Niels N. Sørensen Professor MSO, Ph.D. Department of Civil Engineering, Alborg University & Wind Energy Department, Risø National Laboratory Technical University of Denmark 1 Outline
This article was downloaded by: [Cornell University] On: 18 August 212, At: 12:5 Publisher: Taylor & Francis Informa Ltd Registered in England and Wales Registered Number: 172954 Registered office: Mortimer
aeroacoustics volume 8 number 1 & 2 29 pages 95 124 95 Analysis of different sound source formulations to simulate combustion generated noise using a hybrid LES/APE-RF method T. Ph. Bui,* M. Ihme, W. Schröder
THE 5 TH ASIAN COMPUTAITIONAL FLUID DYNAMICS BUSAN, KOREA, OCTOBER 7 30, 003 Evaluation of a Scalar Probability Density Function Approach for Turbulent Jet Nonpremixed Flames S. Noda, Y. Horitani and K.
The 6th ASME-JSME Thermal Engineering Joint Conference March 6-, 3 TED-AJ3-3 LARGE EDDY SIMULATION OF MASS TRANSFER ACROSS AN AIR-WATER INTERFACE AT HIGH SCHMIDT NUMBERS Akihiko Mitsuishi, Yosuke Hasegawa,
Computers and Mathematics with Applications 59 (2010) 2200 2214 Contents lists available at ScienceDirect Computers and Mathematics with Applications journal homepage: www.elsevier.com/locate/camwa Investigation
21 st ICDERS July 23-27, 27 Poitiers, France Numerical Investigation of Ignition Delay in Methane-Air Mixtures using Conditional Moment Closure Ahmad S. El Sayed, Cécile B. Devaud Department of Mechanical
Investigation of the scalar variance and scalar dissipation rate in URANS and LES by Isaac Keeheon Ye A thesis presented to the University of Waterloo in fulfillment of the thesis requirement for the degree
2 Eulerian models In this chapter we give a short overview of the Eulerian techniques for modelling turbulent flows, transport and chemical reactions. We first present the basic Eulerian equations describing
Coupling a Helmholtz solver with a Distributed Flame Transfer Function (DFTF) to study combustion instability of a longitudinal combustor equipped with a full-scale burner D. Laera*, S.M. Camporeale* email@example.com
Lecture 9 Laminar Diffusion Flame Configurations 9.-1 Different Flame Geometries and Single Droplet Burning Solutions for the velocities and the mixture fraction fields for some typical laminar flame configurations.
Combustion and Flame 158 (2011) 240 254 Contents lists available at ScienceDirect Combustion and Flame journal homepage: www.elsevier.com/locate/combustflame Molecular diffusion effects in LES of a piloted
D. VEYNANTE Introduction à la Combustion Turbulente Dimanche 30 Mai 2010, 09h00 10h30 Introduction to turbulent combustion D. Veynante Laboratoire E.M2.C. CNRS - Ecole Centrale Paris Châtenay-Malabry France
Flow Turbulence Combust (16) 96:96 98 DOI 1.17/s19-16-9719- LES of the Cambridge Stratified Swirl Burner using a Sub-grid pdf Approach T. Brauner 1 W. P. Jones 1 A. J. Marquis 1 Received: 9 October 1 /