1 Simulation of Compressible CavaSim Simulation of Cavitating Flows Using a Novel Stochastic Field Formulation, FSM Franco Magagnato Andreas G. Claas KIT,

Slides:



Advertisements
Similar presentations
A mathematical model of steady-state cavitation in Diesel injectors S. Martynov, D. Mason, M. Heikal, S. Sazhin Internal Engine Combustion Group School.
Advertisements

Subgrid-Scale Models – an Overview
Dominic Hudson, Simon Lewis, Stephen Turnock
TURBULENCE MODELING A Discussion on Different Techniques used in Turbulence Modeling -Reni Raju.
Integration Relation for Control Volume
1 Pressure-based Solver for Incompressible and Compressible Flows with Cavitation Sunho Park 1, Shin Hyung Rhee 1, and Byeong Rog Shin 2 1 Seoul National.
Development of Simulation Methodologies for Forced Mixers Anastasios Lyrintzis School of Aeronautics & Astronautics Purdue University.
Self-propelled motion of a fluid droplet under chemical reaction Shunsuke Yabunaka 1, Takao Ohta 1, Natsuhiko Yoshinaga 2 1)Department of physics, Kyoto.
MODELLING OF CAVITATION FLOW IN A DIESEL INJECTION NOZZLE S. Martynov 1, D. Mason 2, M. Heikal 2 1 Department of Mechanical Engineering, University College.
RANS predictions of a cavitating tip vortex 8th International Symposium on Cavitation Tuomas Sipilä*, Timo Siikonen** *VTT Technical Research Centre of.
1 LES of Turbulent Flows: Lecture 9 (ME EN ) Prof. Rob Stoll Department of Mechanical Engineering University of Utah Fall 2014.
LES Combustion Modeling for Diesel Engine Simulations Bing Hu Professor Christopher J. Rutland Sponsors: DOE, Caterpillar.
Advanced CFD Analysis of Aerodynamics Using CFX
Computer Aided Thermal Fluid Analysis Lecture 10
Physical-Space Decimation and Constrained Large Eddy Simulation Shiyi Chen College of Engineering, Peking University Johns Hopkins University Collaborator:
Introduction to numerical simulation of fluid flows
Turbulent Scalar Mixing Revisiting the classical paradigm in variable diffusivity medium Gaurav Kumar Advisor: Prof. S. S. Girimaji Turbulence Research.
Combining the strengths of UMIST and The Victoria University of Manchester Aspects of Transitional flow for External Applications A review presented by.
3-D Large Eddy Simulation for Jet Noise Prediction A.Uzun, G. Blaisdell, A. Lyrintzis School of Aeronautics and Astronautics Purdue University Funded by.
1 B. Frohnapfel, Jordanian German Winter Academy 2006 Turbulence modeling II: Anisotropy Considerations Bettina Frohnapfel LSTM - Chair of Fluid Dynamics.
Wolfgang Kinzelbach with Marc Wolf and Cornel Beffa
MULTI-PHYSICS MODELING PSAAP Center, Stanford University V. Terrapon, R. Pecnik, J. Larsson, B. Morgan, A. Irvine, F. Ham, I. Boyd, G. Iaccarino, H. Pitsch,
Brookhaven Science Associates U.S. Department of Energy Neutrino Factory / Muon Collider Targetry Meeting May 1 - 2, Oxford, GB Target Simulations Roman.
Image courtesy of National Optical Astronomy Observatory, operated by the Association of Universities for Research in Astronomy, under cooperative agreement.
Knut Vaagsaether, Vegeir Knudsen and Dag Bjerketvedt
Brookhaven Science Associates U.S. Department of Energy MUTAC Review March 16-17, 2006, FNAL, Batavia, IL Target Simulations Roman Samulyak Computational.
DETAILED TURBULENCE CALCULATIONS FOR OPEN CHANNEL FLOW
Applications of Adjoint Methods for Aerodynamic Shape Optimization Arron Melvin Adviser: Luigi Martinelli Princeton University FAA/NASA Joint University.
© British Crown Copyright 2007/MOD Numerical Simulation Using High-Resolution Methods A. D. Weatherhead, AWE D. Drikakis, Cranfield University.
Using synthetic turbulence as an inlet condition for large eddy simulations Thomas P. Lloyd 1,2*, Stephen R. Turnock 1 and Victor F. Humphrey 2 1 Fluid.
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 DS-PC/EIP5, Friedrich | 13-16/08/2012 | © Robert Bosch GmbH All rights reserved, also regarding any disposal, exploitation, reproduction, editing,
Mechanistic Modeling and CFD Simulations of Oil-Water Dispersions in Separation Components Mechanistic Modeling and CFD Simulations of Oil-Water Dispersions.
C M C C Centro Euro-Mediterraneo per i Cambiamenti Climatici COSMO General Meeting - September 8th, 2009 COSMO WG 2 - CDC 1 An implicit solver based on.
Brookhaven Science Associates U.S. Department of Energy MUTAC Review April , 2004, LBNL Target Simulation Roman Samulyak, in collaboration with.
A Novel Wave-Propagation Approach For Fully Conservative Eulerian Multi-Material Simulation K. Nordin-Bates Lab. for Scientific Computing, Cavendish Lab.,
A particle-gridless hybrid methods for incompressible flows
August 14 th, 2012 Comparison of compressible explicit density-based and implicit pressure-based CFD methods for the simulation of cavitating flows Romuald.
Daniela Tordella, POLITECNICO DI TORINO. DNS and LES In the past years, DNS and LES become viable tools to treat transitioning and turbulent flows.
Approximate Riemann Solvers for Multi-component flows Ben Thornber Academic Supervisor: D.Drikakis Industrial Mentor: D. Youngs (AWE) Aerospace Sciences.
Towards a evaluation of a tensor eddy-diffusivity model for the terra incognita grey gray zone Omduth Coceal 1, Mary-Jane Bopape 2, Robert S. Plant 2 1.
J.-Ph. Braeunig CEA DAM Ile-de-FrancePage 1 Jean-Philippe Braeunig CEA DAM Île-de-France, Bruyères-le-Châtel, LRC CEA-ENS Cachan
Numerical Investigation of Hydrogen Release from Varying Diameter Exit
FALL 2015 Esra Sorgüven Öner
Conference on PDE Methods in Applied Mathematics and Image Processing, Sunny Beach, Bulgaria, 2004 NUMERICAL APPROACH IN SOLVING THE PDE FOR PARTICULAR.
Brookhaven Science Associates U.S. Department of Energy MERIT Project Review December 12, 2005, BNL, Upton NY MHD Studies of Mercury Jet Target Roman Samulyak.
Reynolds Stress Constrained Multiscale Large Eddy Simulation for Wall-Bounded Turbulence Shiyi Chen Yipeng Shi, Zuoli Xiao, Suyang Pei, Jianchun Wang,
ARSM -ASFM reduction RANSLESDNS 2-eqn. RANS Averaging Invariance Application DNS 7-eqn. RANS Body force effects Linear Theories: RDT Realizability, Consistency.
School of Aerospace Engineering MITE Numerical Simulation of Centrifugal Compressor Stall and Surge Saeid NiaziAlex SteinLakshmi N. Sankar School of Aerospace.
Convergence Studies of Turbulent Channel Flows Using a Stabilized Finite Element Method Andrés E. Tejada-Martínez Department of Civil & Environmental Engineering.
Tony Arts Carlo Benocci Patrick Rambaud
1 LES of Turbulent Flows: Lecture 7 (ME EN ) Prof. Rob Stoll Department of Mechanical Engineering University of Utah Spring 2011.
Direct numerical simulation has to solve all the turbulence scales from the large eddies down to the smallest Kolmogorov scales. They are based on a three-dimensional.
University of Wisconsin -- Engine Research Center slide 1 Flamelet Modeling for the Diffusion Combustion in OpenFOAM ME 769 Final Project Presentation.
1 LES of Turbulent Flows: Lecture 13 (ME EN ) Prof. Rob Stoll Department of Mechanical Engineering University of Utah Spring 2011.
Mixing Length of Hydrogen in an Air Intake Greg Lilik EGEE 520.
Ignition by hot jets Dr.-Ing. Detlev Markus. Ignition by hot turbulent jet Investigation of ignition process by hot jets (PTB, Braunschweig, Germany)
Computer Animation Rick Parent Computer Animation Algorithms and Techniques Computational Fluid Dynamics.
Algorithm Artificial compressibility Symmetric Coupled Gauss Seidel Parallel Pressure (SCGS-PP) 1st, 3rd and 5th order convective schemes 2nd, 4rd and.
© Copyright 2014 COMSOL. Any of the images, text, and equations here may be copied and modified for your own internal use. All trademarks are the property.
Proposal for round jet test case
C. F. Panagiotou and Y. Hasegawa
Large Eddy Simulation of the flow past a square cylinder
C. Habchi, B. M. Devassy, R. Kumar, N. Gillet, A.Velghe, J. Bohbot
AIAA OBSERVATIONS ON CFD SIMULATION UNCERTAINITIES
AIAA OBSERVATIONS ON CFD SIMULATION UNCERTAINTIES
Conjugate Heat Transfer simulation of Argon Gas Heater for Argon Recirculation and Purification System in Pyroprocessing facility Sourabh Agarwal, K. Revathy.
Low Order Methods for Simulation of Turbulence in Complex Geometries
Numerical Investigation of Hydrogen Release from Varying Diameter Exit
Presentation transcript:

1 Simulation of Compressible CavaSim Simulation of Cavitating Flows Using a Novel Stochastic Field Formulation, FSM Franco Magagnato Andreas G. Claas KIT, FSM KIT, IKET KIT. The cooperation of Forschungszentrum Karlsruhe GmbH and Universität Karlsruhe 8 th International Symposium on Cavitation CAV2012 August 13-16, 2012, Singapore

KIT. The cooperation of Forschungszentrum Karlsruhe GmbH and Universität Karlsruhe 2 Outline of the presentation Motivation for compressible cavitation The novel Stochastic Field Method Homogenous equilibrium cavitation model of Okuda/Ikohagi Numerical method used in SPARC First results for a cavitating diffusor Conclusions and outlook

3 Compressible cavitation Cavitation is often modeled with incompressible methods, but inside the bubble very low speed of sounds occurs. In incompressible simulation the speed of sound is infinite. Compressible cavitation is more appropriate but also more difficult to simulate numerically. Turbulence is usually modeled with RANS, here we use LES. The turbulence-two-phase flow interaction is often neglected. We propose a novel method based on the Eulerian Stochastic Field Theory. KIT. The cooperation of Forschungszentrum Karlsruhe GmbH and Universität Karlsruhe

4 Cavitation model (Okuda and Ikohagi) The vapor-liquid mixture is modeled with a equation of state for water (Tammann) and for ideal gas. KIT. The cooperation of Forschungszentrum Karlsruhe GmbH and Universität Karlsruhe

5 Cavitation model (Okuda and Ikohagi) KIT. The cooperation of Forschungszentrum Karlsruhe GmbH and Universität Karlsruhe

6 Eulerian Stochastic Field method KIT. The cooperation of Forschungszentrum Karlsruhe GmbH and Universität Karlsruhe Valino proposed Stochastic Euler PDF-Transport for combustion processes  n  = N scalar stochastic fields U i = velocity components  ‘  = effective diffusivity dW i = Wiener process (random)  = frequency of the stochastic S(  ) = Source term of transport equation

7 Eulerian Stochastic Field method KIT. The cooperation of Forschungszentrum Karlsruhe GmbH and Universität Karlsruhe For cavitating flow we solve N samples for the mass vapour mass fraction Y (N >=8) As source term S(Y) any cavitation model can be used

8 Numerical method used in SPARC 3D block-structured Finite-Volume-Scheme Compressible LES and DNS Dynamic Smagorinsky subgrid-scale model Up to 5th order accurate cell centred scheme in space Preconditioning according to Choi and Merkle Full geometric Multigrid-Method 2nd order time accurate dual time stepping-scheme Appr. Riemann solver (Roe, HLLC) and Artificial Dissipation schemes Parallel computation using 512 processors KIT. The cooperation of Forschungszentrum Karlsruhe GmbH and Universität Karlsruhe

9 Numerical setup for the diffuser Mesh contains 10 7 cv Inlet velocity u=10.8 m/s Inlet void fraction α =0.05% Reynolds number Re=2.7 *10 6 Dynamic Smagorinsky model used KIT. The cooperation of Forschungszentrum Karlsruhe GmbH and Universität Karlsruhe

10 LES results for the diffusor KIT. The cooperation of Forschungszentrum Karlsruhe GmbH and Universität Karlsruhe Void ratio in the symmetry plane Stream-wise velocity component in the symmetry plane

11 LES results for the diffusor KIT. The cooperation of Forschungszentrum Karlsruhe GmbH and Universität Karlsruhe Velocity at station 1Velocity at station 2 Velocity at station 3 Velocity at station 4 Velocity at station 5

12 LES results for the diffusor KIT. The cooperation of Forschungszentrum Karlsruhe GmbH and Universität Karlsruhe Void ratio at station 1Void ratio at station 2 Void ratio at station 3 Void ratio at station 4 Void ratio at station 5

13 Conclusions A novel Eulerian Stochastic Field formulation has been proposed for the turbulence-two-phase flow interaction. Eight additional transport equations are sufficient for reliable simulation It can be combined with many cavitation models. A first 3D validation case for cavitating flow shows encouraging agreement with the experiment (Concalves et al.) Additional 3D LES are underway for calibrating the constants in the Eulerian SFM. KIT. The cooperation of Forschungszentrum Karlsruhe GmbH and Universität Karlsruhe

14 Compressible cavitation (Okuda and Ikohagi) Cavitation is modeled with the local homogeneous equilibrium model of Okuda and Ikohagi KIT. The cooperation of Forschungszentrum Karlsruhe GmbH and Universität Karlsruhe

15 LES of a NACA0015 Synthetic Eddy Method (SEM) at inlet with tu = 10% L t = 0.004m  = 0.1% Non-reflecting static pressure boundary condition at the outlet KIT. The cooperation of Forschungszentrum Karlsruhe GmbH and Universität Karlsruhe