CISM • International Centre for Mechanical Sciences

21th CISM-IUTAM International Summer School on “Measurement, Analysis and Passive Control of Thermoacoustic Oscillations”

Advanced Courses
When Yuri Gagarin was launched into orbit in 1961, the probability of a rocket blowing up on take-off was around 50%. In those days, one of the most persistent causes of failure was a violent oscillation caused by the coupling between acoustics and heat release in the combustion chamber. If more heat release than average occurs during moments of high pressure and less heat release than average occurs during moments of low pressure then, over a cycle, more work is done during the expansion phase than is absorbed during the compression phase, causing oscillations to grow. These thermoacoustic oscillations have caused countless rocket engine and gas turbine failures since the 1930s and have been studied extensively. Nevertheless, they are still one of the major problems facing rocket and gas turbinemanufacturers today. The ultimate goal of rocket and gas turbine manufacturers is to eliminate or control thermoacoustic oscillations, either through feedback control or passive control. Feedback control works well in simple thermoacoustic systems but is challenging in industrial systems because the sensors and actuators have to withstand very harsh environments. Furthermore, feedback control is unacceptably risky insome applications, such as aircraft. For these reasons, passive control is preferable, either by good initial design, or by adding a passive device to an existing system. In order to control a thermoacoustic system passively, it is necessary to understand why the system oscillates. It is well known that acoustic perturbations to the velocity or pressure cause heat release perturbations some time later, and that these lead to the feedback loop described above. Other mechanisms, such as the reflection of entropy waves at a sonic throat, are also known. However, experiments show that even small changes to a system can significantly alter its stability, showing that the details of these processes are very influential. The aims of this course are: to describe how thermoacoustic oscillations arise, to show the flame dynamics that cause fluctuating heat release, to show how these details are uncovered through experimental measurements, to introduce linear and nonlinear methods of analysis, to introduce methods that can reveal which details of a thermoacoustic system are most influential, and to give examples of these processes in industrial thermoacoustic systems. The course is aimed at doctoral students in an early stage of a PhD in Thermoacoustics; researchers with a background in flow stability who are interested in a new area; and practicing engineers in a closely-related area such as gas turbine or rocket engine research.
Culick, F. Unsteady Motions in Combustion Chambers for Propulsion Systems. AGARD. https://www.cso.nato.int/pubs/rdp. asp?RDP=RTO-AG-AVT-039. Lieuwen, T. Unsteady Combustor Physics, Chapters 1,2, 11,12. Cambridge University Press. Haugen, F. Discrete-time signals and systems, Chapters 1 to 8. Citeseer. http://techteach.no/publications/discretetime_signals_systems/discrete.pdf Matthew Juniper, Luca Magri Application of receptivity and sensitivity analysis to thermoacoustic instability, Progress in flow instability analysis and laminar-turbulent transitionmodeling, VKI Lecture Series 2014-05 edited by E. Valero & F. Pinna ISBN 978-2-87516-063-8 (2014) http://www2.eng.cam.ac.uk/~mpj1001/papers/VKI_Juniper.pdf
Matthew Juniper (University of Cambridge, UK)
5 lectures on: Helmholtz solvers, adjoint sensitivity analysis, applications of adjoint sensitivity analysis to simple thermoacoustic models, applications of adjoint sensitivity analysis to thermoacoustic Helmholtz solvers.

Tim C. Lieuwen (Georgia Tech, Atlanta, GA, USA)
6 lectures on: Introduction to thermoacoustic oscillations; Flame Dynamics Modeling (flame kinematics, equiv ratio, swirl effects, laminar & turbulent flames); Disturbance propagation in reacting flow environments; Thermoacoustic Instabilities (linear and nonlinear methods); Entropy waves; Combustion noise. High frequency / Transverse modes; Mechanisms for dissipation of mechanical energy.

Wolfgang Polifke (TU Munich, Germany)
6 lectures on: 6 lectures on: Linear Analysis; Frequency domain/time domain linear analysis; n-tau model and its deficiencies; Transfer functions & its measurement, SISO and MIMO model structures; Transfer matrix; thermoacoustic network analysis; Calculation of growth rates, Nyquist Plots; Non-normality; active control of thermoacoustic systems.

Bruno Schuermans (Alstom Power, Baden, Switzerland)
6 lectures on: Industrial Thermoacoustics.

Thierry Schuller (Ecole Centrale Paris, France)
6 lectures on: Acoustic measurements and diagnostics: Acoustic pressure, density and velocity measurements (Hot wire, LIV, LDV); signal measurement, conditioning and analysis; impedance reconstruction (different techniques 2M, Multi-M, 1M 1V and post-processing); acoustic response of a combustor (modal characterization, end corrections (radiation impedance), damping, burner transfer function). Flow measurement: unsteady flow imaging (Mie scattering, LDV, tomography, PIV); Deconvolution and tomographic reconstructions (Abel, 3D, multi-views); Velocity, vortex dynamics, mixture composition and entropy fluctuation; Characterizations (techniques and postprocessing); Two-phase flow diagnostics (LDA, droplets dynamics). Flame measurement: Flame imaging (chemiluminescence, Schlieren, LIF); Heat release rate estimation (chemiluminescence, LIF, emerging techniques); Forcing techniques (loudspeaker, sirens, fuel modulation); FTF and IR reconstruction. Flame Describing Function & frequency domain stability analysis.

R. I. Sujith (IIT Madras, India)
6 lectures on: Classical Acoustics: Derivation of wave equation; Standing wave and travelling wave solutions; Impedance, eigenvalues; Acoustic Boundary Conditions; Nonlinear time series analysis: Bifurcation diagrams, quasiperiodicity, frequency-locking, routes to chaos; Analysis techniques; Experimental observations and data processing.