Recent developments in DNS of turbulent combustion

The simulation of turbulent flames fully resolving the smallest flow scales and thinnest reaction zones goes along with specific requirements, which are discussed from dimensionless numbers useful to introduce generic context in direct numerical (DNS) is performed. Starting this basis, evolution DNS landscape over past five years reviewed. It found that geometries, focus studies overall motivations for performing have broadened, making a standard tool combustion. Along these lines, emerging laboratory burners flame modeling development illustrated imbedded Large Eddy Simulation (LES) resolved bluff-body flames. literature shows generated databases constitute fantastic playground developing testing large spectrum promising machine learning methods control optimisation combustion systems, including novel approaches based on training neural networks can be evaluated free sub-model artefacts. so-called quasi-DNS also progressively entering loop application techniques downsize real devices order perform simulations their complex geometries. An example such study leading improvement an incinerator efficiency reported. Finally, given relative carbon footprint generation databases, motivating crucial need community building around database sharing.