The Prediction of Low Frequency Rumble in Combustion Systems

Slides:



Advertisements
Similar presentations
University of Greenwich Computing and Mathematical Sciences
Advertisements

Hopp til første side 3D Flow Simulation By Sigve Hovda, Ph.D student Three Dimentional Computational Fluid Dynamic Model of the Human Heart During Ejection.
Introduction to Computational Fluid Dynamics
School of Mechanical, Aerospace & Civil Engineering Postgraduate Research Conference, PGR-MACE10 Performance of two k T -k L -ω models in a separation-induced.
ICLEAC Survey Presentation Stuttgart, 13/14 November ICLEAC Survey Presentation Instability Control of Low Emission Aero-Engine Combustors G4RD-CT
1 “CFD Analysis of Inlet and Outlet Regions of Coolant Channels in an Advanced Hydrocarbon Engine Nozzle” Dr. Kevin R. Anderson Associate Professor California.
LES Combustion Modeling for Diesel Engine Simulations Bing Hu Professor Christopher J. Rutland Sponsors: DOE, Caterpillar.
Computational Aeroacoustics Prof. S. H. Frankel, ME
Czestochowa University of Technology Areas of interest Energy and Aero Priorities 1.Mathematical modelling of flows in blade system of rotating machinery.
Dr. Laila Guessous Suresh Putta, M.S. Student Numerical Investigations of Pulsatile Flows To develop a better understanding of the characteristics of pulsating.
3-D Large Eddy Simulation for Jet Noise Prediction A.Uzun, G. Blaisdell, A. Lyrintzis School of Aeronautics and Astronautics Purdue University Funded by.
Chamber Dynamic Response Modeling Zoran Dragojlovic.
DETAILED TURBULENCE CALCULATIONS FOR OPEN CHANNEL FLOW
The Case for cavitation induced heating
LES of Turbulent Flows: Lecture 3 (ME EN )
P M V Subbarao Professor Mechanical Engineering Department I I T Delhi
Numerical study of the blade cooling effect generated by multiple jets issuing at different angles and speed into a compressible horizontal cross flow.
Anatomy and SSSF Analysis of Ideal Turbo Jet Engine P M V Subbarao Professor Mechanical Engineering Department Features of A True Flying Machine Muscles.
FUNDAMENTAL EQUATIONS, CONCEPTS AND IMPLEMENTATION
AIAA SciTech 2015 Objective The objective of the present study is to model the turbulent air flow around a horizontal axis wind turbine using a modified.
Partially Resolved Numerical Simulation CRTI RD Project Review Meeting Canadian Meteorological Centre August 22-23, 2006.
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.
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.
Lecture Objectives: -Define turbulence –Solve turbulent flow example –Define average and instantaneous velocities -Define Reynolds Averaged Navier Stokes.
Faculty of Engineering, Kingston University London
Page 1 SIMULATIONS OF HYDROGEN RELEASES FROM STORAGE TANKS: DISPERSION AND CONSEQUENCES OF IGNITION By Benjamin Angers 1, Ahmed Hourri 1 and Pierre Bénard.
TPFL: The Turbomachinery Performance and Flow Research Laboratory Texas A&M University M. T. Schobeiri Dynamic Simulation of Gas Turbine Engines Aircraft-
Governing equations: Navier-Stokes equations, Two-dimensional shallow-water equations, Saint-Venant equations, compressible water hammer flow equations.
Mathematical Equations of CFD
Point Source in 2D Jet: Radiation and refraction of sound waves through a 2D shear layer Model Gallery #16685 © 2014 COMSOL. All rights reserved.
Experimental Investigation of Limit Cycle Oscillations in an Unstable Gas Turbine Combustor* Timothy C. Lieuwen ^ and Ben T. Zinn # School of Aerospace.
Numerical Investigation of Hydrogen Release from Varying Diameter Exit
AE 412 THERMODYNAMIC CYCLE SIMULATION II Prof.Dr. Demir Bayka.
Aerospace Engineering N. C. State University Air Terminal Wake Vortex Simulation D. Scott McRae, Hassan A. Hassan N.C. State University 4 September 2003.
AMS 691 Special Topics in Applied Mathematics Lecture 3
Lecture Objectives: Define 1) Reynolds stresses and
Dynamic visualisation of the combustion processes in boilers Marek Gayer Computer Graphics Group Department of Computer Science and.
1 GMUWCollaborative Research Lab Advanced Turbulence Modeling for engine applications Chan Hee Son University of Wisconsin, Engine Research Center Advisor:
1 LES of Turbulent Flows: Lecture 7 (ME EN ) Prof. Rob Stoll Department of Mechanical Engineering University of Utah Spring 2011.
Date of download: 6/2/2016 Copyright © ASME. All rights reserved. From: Numerical Investigation of Combustion Instability in a V-Gutter Stabilized Combustor.
WORK Work = Force x Distance POWER power = work done ÷ time taken ENERGY 1-POTENTIAL ENERGY (Potential Energy = Force x Distance ) 2-KINETIC ENERGY Energy.
Date of download: 6/21/2016 Copyright © ASME. All rights reserved. From: RANS and Large Eddy Simulation of Internal Combustion Engine Flows—A Comparative.
Computational Fluid Dynamics
Advanced Numerical Techniques Mccormack Technique CFD Dr. Ugur GUVEN.
Objective Introduce Reynolds Navier Stokes Equations (RANS)
Introduction to the Turbulence Models
Finite Difference Methods
Date of download: 10/16/2017 Copyright © ASME. All rights reserved.
Introduction Donghyuk Shin from U. of Edinburgh
Chamber Dynamic Response Modeling
Date of download: 10/20/2017 Copyright © ASME. All rights reserved.
Date of download: 10/24/2017 Copyright © ASME. All rights reserved.
Date of download: 10/27/2017 Copyright © ASME. All rights reserved.
The inner flow analysis of the model
Date of download: 11/9/2017 Copyright © ASME. All rights reserved.
HEAT RELEASE in single injection compression ignition engine
Date of download: 12/23/2017 Copyright © ASME. All rights reserved.
Numerical Simulation of Premix Combustion with Recirculation
A topology-based approach towards
Combustor Model Simulation
Objective Review Reynolds Navier Stokes Equations (RANS)
Fluid Flow Regularization of Navier-Stokes Equations
Space Distribution of Spray Injected Fluid
CFD – Fluid Dynamics Equations
Introduction Donghyuk Shin from U. of Edinburgh
QUANTIFYING THE UNCERTAINTY IN Wind Power Production Using Meteodyn WT
Objective Discus Turbulence
Chapter 2 Navier-Stokes Modeling for HAWT by CFX 5.7
14. Computational Fluid Dynamics
Numerical Investigation of Hydrogen Release from Varying Diameter Exit
Presentation transcript:

The Prediction of Low Frequency Rumble in Combustion Systems Danielle Craig 26/06/2017 Low Frequency Rumble is an acoustic instability which occurs in rockets and jet engines capable of producing damage to the hardware of the engine. Hot spots are emitted due to unsteady heat releases from fuel injectors within the combustion chamber. These are convected down the combustor and are accelerated creating acoustic waves. Part of this wave is reflected back into the system, causing further unsteady heat release. At certain frequencies this can cause an amplification of the acoustic waves creating an instability in the system.

The Prediction of Low Frequency Rumble in Combustion Systems Danielle Craig 26/06/2017 Low Frequency Rumble is a highly complex phenomena which occurs at extreme temperatures meaning high fidelity experiments are an almost impossible undertaking, therefore Computational Fluid Dynamics is required. Computational Fluid Dynamics allows the prediction of flow physics by solving sets of partial differential equations. A mesh is created which is a representation of a geometry made up of a series of nodes. Calculations take place at these node points. Billions of calculations are performed for combustion systems and even more are required when capturing acoustics as the mesh needs to be very fine and hence the use of High Performance Computing. 2000K and Example Computational Mesh [1] [1] - Khanal BB, He LL, Northall JJ, Adami PP. Analysis of Radial Migration of Hot-Streak in Swirling Flow Through High-Pressure Turbine Stage. ASME. J. Turbomach. 2013;135(4):041005-041005-11. doi:10.1115/1.4007505.

The Prediction of Low Frequency Rumble in Combustion Systems Danielle Craig 26/06/2017 The Navier Stokes Equations are a set of partial differential equations which describe flow physics usually solved in Computational Fluid Dynamics (CFD) – For combustion extra models are required to calculate the chemistry. There are three levels of CFD fidelity. The highest form is known as DNS where every part of the physics is resolved numerically. The next level down is known as LES this resolves large turbulent structures but uses statistical models for the rest of the turbulent information. The lowest fidelity simulations are known as RANS, here statistical models are used to model all turbulence within the flow therefore requiring the least computational power. 2000K and Reynolds Averaging Navier Stokes (RANS) Large Eddy Simulations (LES) Direct Numerical Simulation (DNS)

The Prediction of Low Frequency Rumble in Combustion Systems Danielle Craig 26/06/2017 In Computational Fluid Dynamics high speed flows and low speed flows tend to need different calculation methods. To capture Low Frequency Rumble both high and low speed regions need to be observed. Acoustics within combustion systems require very fine meshes and need compressibility to be taken into account, therefore are very computationally expensive. Currently at least LES is required to model flame physics with enough accuracy to also capture the acoustics. With current computational power, calculations can take many months to complete with terabytes of data produced. 2000K and Velocity contour