This article discusses some recent progress and future trends in turbu
lent combustion. Issues in turbulent combustion modeling (TCM) and som
e perspectives in active control are specifically considered. Modeling
methods are first briefly surveyed to identify future developments. I
t is anticipated that further progress will be made in physical modeli
ng based on flame surface density concepts and that physical modeling
of turbulent flames will rely more heavily on modern computational too
ls like direct numerical simulation (DNS), large eddy simulations (LES
), detailed numerical modeling (DNM) of simple flames. Physical modeli
ng as it is practiced today will continue to evolve into more reliable
methods for industrial design applications. As the computational reso
urces progress one may also foresee that LES methods will take over an
d that research will shift from the Reynolds average approach to the m
ore advanced LES computation of turbulent reactive flows. Because turb
ulent combustion is so complex, physical modeling and LES calculations
will continuously need detailed experiments. These will emphasize fie
ld measurements based on imaging methods. It is expected that current
progress in optical diagnostics will continue. Imaging diagnostics wil
l become more easily applicable to practical situations. Their spatial
and temporal resolution will be enhanced. Images will continue to pro
vide qualitative information on the basic processes of turbulent combu
stion but improved experimental methods will yield more quantitative d
ata. Another area which holds promises is that of active control. From
current progress in this field one may foresee that advanced control
schemes will play an increasing role in experimental investigations of
instabilities and in practical optimization of turbulent combustors.
''Intelligent combustor'' concepts combining control loops with a comb
ustion system are now being explored and will probably become of impor
tance in enhancing the stability of combustion, in augmenting the doma
in of operation and in reducing the pollutant emission levels.