Turbulent Premixed Flames

A work on turbulent premixed combustion is timely because of increased concern about the environmental impact of combustion and the search for new combustion concepts and technologies. An improved understanding of lean fuel turbulent premixed flames must play a central role in the fundamental science of these new concepts. Lean premixed flames have the potential to offer ultra-low emission levels, but they are notoriously susceptible to combustion oscillations. Thus, sophisticated control measures are inevitably required. The editors intent is to set out the modeling aspects in the field of turbulent premixed combustion. Good progress has been made recently on this topic. Thus, it is timely to edit a cohesive volume containing contributions from international experts on various subtopics of the lean premixed flame problem.

Spis treści:
1. Fundamentals and challenges N. Swaminathan and K. N. C. Bray
Part I. Modelling Methods
2. Laminar flamelets and the Bray, Moss, and Libby model K. N. C. Bray
3. Flame surface density and the G equation L. Vervisch, V. Moureau, P. Domingo and D. Veynante
4. Scalar-dissipation-rate approach N. Chakraborty, M. Champion, A. Mura and N. Swaminathan
5. Transported probability density function methods for premixed turbulent flames R. P. Lindstedt
Part II. Combustion Instabilities
6. Instabilities in flames D. Bradley
7. Control strategies for combustion instabilities A. P. Dowling and A. S. Morgans
8. Simulation of thermoacoustic instability L. Gicquel, F. Nicoud and T. Poinsot
Part III. Lean Flames in Practice
9. Application of lean flames in internal combustion engines Y. Urata and A. M. K. P. Taylor
10. Application of lean flames in aero gas turbines B. Jones
11. Application of lean flames in stationary gas turbines B. Jones
Part IV. Future Directions
12. Utilization of hot burnt gas for better control of combustion and emissions S. Hayashi and Y. Mizobuchi
13. Future directions and applications of lean premixed combustion J. F. Driscoll
14. Future directions in modeling K. N. C. Bray and N. Swaminathan.