Computational and Data-Driven Modeling of Turbulent Combustion and Engine Combustion Dynamics

Dear Colleagues,

Combustion systems are ubiquitous in a wide range of power generation and propulsion (automotive, aviation, and spacecraft) applications. With the ever-increasing demand for higher fuel economy and reduction of pollutant emissions, the combustion community is striving toward the development of advanced combustion engines. As the efficiency of these engines keeps improving, their operating regime continues to be pushed closer to the boundary between stable and unstable combustion. In this operating regime, occurrence of stochastic combustion phenomena, governed by complex combustion dynamics, poses a severe challenge to engine performance and durability. Computational and data-driven approaches can play a major role in enabling a better understanding of combustion dynamics and development of reduced-order models to aid reliable and high-efficiency engine design.

In this context, this Special Issue is dedicated to combustion research advances, both fundamental and applied, in the area of numerical as well as data-driven modeling/analysis of combustion dynamics and stochastic combustion phenomena in reacting flow-based energy systems. Topics of interest include but are not limited to the application of computational fluid dynamics (CFD) and/or machine learning techniques for the investigation of cycle-to-cycle variability and knock in reciprocating engines, lean blow-out and combustion instabilities in gas turbine engines and rocket motors, and detonation engines.

Dr. Pinaki Pal
Guest Editor

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