IGNITION OF ALUMINUM PARTICLE CLOUDS BEHIND REFLECTED SHOCK WAVES Kaushik Balakrishnan 1, Allen L. Kuhl 2, John B. Bell 1, Vincent E. Beckner 1 1 Lawrence.

Slides:



Advertisements
Similar presentations
Multiphase Flow in ALE3D
Advertisements

Selective Catalytic Reduction (SCR) by NH 3 in a Fixed-Bed Reactor HEE JE SEONG The Department of Energy and Geo-Environmental Engineering The Pennsylvania.
Piotr Wolański Warsaw University of Technology, Warsaw, Poland.
Hybrid Propulsion System Basics
Interactive System for Pulverized Coal Combustion Visualization with Fluid Simulator Marek Gayer, Pavel Slavík and František Hrdlička Department of Computer.
Shock wave propagation across the column of dusted glow discharge in different gases. A.S.Baryshnikov, I.V.Basargin, M.V.Chistyakova Ioffe Physico-Technical.
Motivation The physics of inertial confinement fusion (ICF) combine hydrodynamics, plasma physics and radiation. One of the important hydrodynamic processes.
AE 412 THERMODYNAMIC CYCLE SIMULATION II Prof.Dr. Demir Bayka.
Study of Liquid Breakup Process in Solid Rocket Motors Author: Michael Stefik & Bryan Sinkovec, Co-Author: Yi Hsin Yen, Faculty Advisor: Professor Ryoichi.
Inertial Confinement Fusion Related Experimental Investigation of a Twice-Shocked Spherical Density Inhomogeneity. Nick Haehn, Chris Weber, Jason Oakley,
Novae and Mixing John ZuHone ASCI/Alliances Center for Thermonuclear Flashes University of Chicago.
Brookhaven Science Associates U.S. Department of Energy Muon Collider/Neutrino Factory Collaboration Meeting Riverside, California, January 27-31, 2004.
Chamber Dynamic Response Modeling Zoran Dragojlovic.
Experiments and Computations for Inertial Confinement Fusion-Related Shock-Driven Hydrodynamic Instabilities Bradley Motl, John Niederhaus, Devesh Ranjan,
International Conference on Hydrogen Safety, Sep. 8-10, Pisa, Italy NUMERICAL STUDY OF A HIGHLY UNDER-EXPANDED HYDROGEN JET B P Xu, J P Zhang, J X WEN,
Knut Vaagsaether, Vegeir Knudsen and Dag Bjerketvedt
Generation of Solar Energetic Particles (SEP) During May 2, 1998 Eruptive Event Igor V. Sokolov, Ilia I. Roussev, Tamas I. Gombosi (University of Michigan)
Plasma Kinetics around a Dust Grain in an Ion Flow N F Cramer and S V Vladimirov, School of Physics, University of Sydney, S A Maiorov, General Physics.
Combustion AND Emissions Performance of syngas fuels derived from palm shell and POLYETHYLENE (PE) WASTE VIA CATALYTIC STEAM GASIFICATION Chaouki Ghenai.
Effect of thermo-chemical parameters on the adhesion of scale layer Technical University of Czestochowa, The Department of Industrial Furnaces and Environmental.
Winter Jordanian German Academy Feb Governing Equations for Combustion Processes Prepared By: Rasha Odetallah & Fatima Abbadi.
Centre for Fire and Explosion Studies Numerical Study of Spontaneous Ignition of Pressurized Hydrogen Release through a length of tube with local contraction.
Zhaorui Li and Farhad Jaberi Department of Mechanical Engineering Michigan State University East Lansing, Michigan Large-Scale Simulations of High Speed.
Farhad Jaberi Department of Mechanical Engineering Michigan State University East Lansing, Michigan A High Fidelity Model for Numerical Simulations of.
1 CONCEPTION OF MINICHANNEL AS THE SOURCE OF SELF-IGNITION AT HIGH SUPERSONIC SPEED Goldfeld М.А., Starov А.V., Timofeev К.Yu. Khristianovich Institute.
Computer Practical: Numerical Gasdynamics Richtmyer-Meshkov Instability Group 6 Comparison of Results with Different Grid Points 2 nd Order Roe Naseem.
ICHS4, San Francisco, September E. Papanikolaou, D. Baraldi Joint Research Centre - Institute for Energy and Transport
Donald F. Hawken Ph. D. Flow Simulation Work. Detonation with finite-rate chemistry 0.05 meter 1D domain with 1500 cells °K and 1 atmosphere ambient.
Mixing sediment plumes in Gulf of Mexico (image credit: NASA Earth Observatory - Numerical Simulation of Turbulent Rayleigh-
Faculty of Engineering, Kingston University London
Brookhaven Science Associates U.S. Department of Energy MUTAC Review April , 2004, LBNL Target Simulation Roman Samulyak, in collaboration with.
1 Modeling and validation of coal combustion in a circulating fluidized bed using Eulerian-Lagrangian approach U.S. Department of Energy, National Energy.
Page 1 SIMULATIONS OF HYDROGEN RELEASES FROM STORAGE TANKS: DISPERSION AND CONSEQUENCES OF IGNITION By Benjamin Angers 1, Ahmed Hourri 1 and Pierre Bénard.
Applications of the Multi-Material DEM Model Presented by: David Stevens, Jaroslaw Knap, Timothy Dunn September 2007 Lawrence Livermore National Laboratory.
COMPUTATIONAL MODELING OF PRESSURE EFFECTS FROM HYDROGEN EXPLOSIONS Granovskiy E.A., Lifar V.A., Skob Yu.A., Ugryumov M.L. Scientific Center of Risk Investigations.
Mathematical Equations of CFD
School of Aerospace Engineering MITE Numerical Modeling of Compressor and Combustor Flows Suresh Menon, Lakshmi N. Sankar Won Wook Kim S. Pannala, S.
Cavitation Models Roman Samulyak, Yarema Prykarpatskyy Center for Data Intensive Computing Brookhaven National Laboratory U.S. Department of Energy
Simulation of Muon Collider Target Experiments Yarema Prykarpatskyy Center for Data Intensive Computing Brookhaven National Laboratory U.S. Department.
CONCLUSIONS 1. In curved ducts, the combination of advanced EARSM/EASFM allows to predict satisfactorily flow processes with heat transfer phenomena, in.
Renaissance: Formation of the first light sources in the Universe after the Dark Ages Justin Vandenbroucke, UC Berkeley Physics 290H, February 12, 2008.
Numerical Investigation of Hydrogen Release from Varying Diameter Exit
Some Aspects of the Godunov Method Applied to Multimaterial Fluid Dynamics Igor MENSHOV 1,2 Sergey KURATOV 2 Alexander ANDRIYASH 2 1 Keldysh Institute.
Effects of Particle Shape and Size on Biomass Combustion Hong Lu, Justin Scott, Tom Fletcher, Larry Baxter Chemical Engineering Department, Brigham Young.
LCSE – NCSA Partnership Accomplishments, FY01 Paul R. Woodward Laboratory for Computational Science & Engineering University of Minnesota October 17, 2001.
Core Collapse Supernovae: Power Beyond Imagination
Direct Numercal Simulation of two-phase turbulent boundary layer over waved water surface O. A. Druzhinin, Yu.I. Тroitskaya Institute of Applied Physics.
MULTI-COMPONENT FUEL VAPORIZATION IN A SIMULATED AIRCRAFT FUEL TANK C. E. Polymeropoulos Department of Mechanical and Aerospace Engineering, Rutgers University.
Capturing inflows and outflows requires 3D. Enrichment is biased. The first stars were formed in dark matter minihalos around redshift z ≈ 20. In order.
Mixing Length of Hydrogen in an Air Intake Greg Lilik EGEE 520.
Evidence of anisotropy of small scale turbulence in the laboratory model of an atmospheric cloud P.M. Korczyk, T.A. Kowalewski, S. P. Malinowski IPPT PAN,
Simulation of the Interaction Between Two Counterflowing Rarefied Jets
S.G. Giannissi1,2, I.C.Tolias1,2, A.G. Venetsanos1
SIMULATION ANALYSIS ON THE RISK OF HYDROGEN
Wind and slope contribution in a grassfire second law analysis
Chamber Dynamic Response Modeling
VAPOUR CLOUD EXPLOSIONS FROM THE IGNITION OF METHANE/HYDROGEN/AIR MIXTURES IN A CONGESTED REGION Mark Royle(1) Les Shirvill(2) and Terry Roberts(1) (1)
Monitoring H2 by Real Time H2 Sensor
E. Demosthenous E. Mastorakos R. S. Cant Division A
Turbulent flame propagation in large unconfined H2/O2/N2 clouds
Shule Li, Adam Frank, Eric Blackman
EXPERIMENTAL STUDY ON AUTO-IGNITION OF HIGH PRESSURE HYDROGEN JETS
Les Shirvill1, Mark Royle2 and Terry Roberts2 1Shell Global Solutions
E. Papanikolaou, D. Baraldi
Low frequency radiation from a duct exhausting a hot gas
Develop high-fidelity modeling and efficient simulation techniques for supercritical combustion High-Fidelity Modeling and Simulation of Supercritical.
Accurate Flow Prediction for Store Separation from Internal Bay M
Dust Flow in Disks in the presence of Embedded Planets
Numerical Investigation of Hydrogen Release from Varying Diameter Exit
Ignition systems for small engines
Presentation transcript:

IGNITION OF ALUMINUM PARTICLE CLOUDS BEHIND REFLECTED SHOCK WAVES Kaushik Balakrishnan 1, Allen L. Kuhl 2, John B. Bell 1, Vincent E. Beckner 1 1 Lawrence Berkeley National Laboratory 2 Lawrence Livermore National laboratory Supported by U.S. Department of Energy and Defense Threat Reduction Agency ICDERS 2011, #329

INTRODUCTION Al combustion is of interest – High energy content (7.4 Kcal/g) Al added to explosives and propellants Simulation of Al dispersion/combustion is challenging in explosion/shock flow fields – Ignition/burn models – Turbulent flow field – Two-phase modeling Use of experimental data in models – Empirical ignition model

IGNITION BY REFLECTED SHOCK WAVE Boiko et al.’s experiments (Russia) Krier/Glumac experiments (Univ. Illinois)

IGNITION BY REFLECTED SHOCK WAVE Wake convected into the particle cloud Reflected shock interaction with particle cloud: Richtmyer- Meshkov instability Clockwise/counter-clockwise vorticity Particle cloud convolutes wakeRM

FORMULATION

FORMULATION: THERMODYNAMICS Equation of state Le Chatelier diagram (Kuhl, 2006) Thermodynamic states computed using CHEETAH code Thermodynamic equilibrium assumed for reactants and products Quadratic curve-fits – u k (T) = a k T 2 + b k T + c k – K = fuel, oxidizer or products

NUMERICAL METHODS - AMR GAS PHASE: Higher-order Godunov method of Colella & Glaz, 1985; Bell et al., 1989 PARTICLE PHASE: Godunov method of Collins et al., 1994 ADAPTIVE MESH REFINEMENT (AMR) of Bell et al., 1989 IMPLICIT LARGE-EDDY SIMULATION (ILES) MASSIVELY PARALLEL SIMULATIONS (~1024 processors)

EMPIRICAL IGNITION MODEL

SUMMARY: IGNITION MODEL Initial: f = 0 Pre-ignition: 0<f<1 Ignition: f>1

SIMULATION CONFIGURATION Spherical Al particle cloud in shock tube; air everywhere 3.2m x 0.4m x 0.4m; left: inflow; walls everywhere else Shock wave initialized at x = 0.5m; 0.1 bar and 293 K for x>0.5m 5 cm particle cloud (4-6 µm Al flakes) injected at x=2.75 m at 2.25 msec 512x64x64 with 3 levels of refinement (ratio=2); ∆x 3 ≈0.78 mm

DIFFERENT SIMULATION CASES Caseρ s, g/m 3 MT g behind incident shock, K T g behind reflected shock, K EFFECT OF INITIAL CLOUD DENSITY AND SHOCK MACH NUMBER

RESULTS: log(ρ s ) M = 4; ρ s = 200 g/m 3 M = 4; ρ s = 50 g/m 3

MOVIE: M = 4; ρ s = 200 g/m 3

VORTICITY: M = 4; ρ s = 200 g/m 3 Vorticity due to wake: 1.2x10 5 sec -1 Due to reflected shock: 4x10 4 sec -1 Vorticity dependent on ρ s and M 2.83 ms 3.52 ms4.28 ms5.37 ms

MASS OF Al BURNED Burning trend depends on ρ s 90% Al by mass burns Present ignition model accounts for ρ s Wake-induced convolution/elongation of cloud for higher ρ s Increases surface area of cloud; hence more burning

BURNING REGIONS 200 g/m 3 50 g/m 3 TgTg Y air

EFFECT OF M (ρ s = 100 g/m 3 ) Higher M results in higher T g behind reflected shock Ignition occurs earlier More Al by mass burns MT g behind incident shock, K T g behind reflected shock, K

MASS AVERAGED T solid, K Caseρ s, g/m 3 M

MASS WEIGHTED f

CONCLUSIONS A new empirical Al ignition model is proposed – Ignition time based on Boiko et al.’s experiments – Ignition temperature based on Gurevich et al.’s experiments – Cloud concentration effect RESULTS – ~90% Al (by mass) burns – Cloud density and M have profound effect – Mass-weighted f introduced

RESULTS FROM A COMPANION PAPER Shock Dispersed Fuel (SDF) charges Investigate Al burning, mixing, vorticity, dissociation and ionization effects

THANK YOU