702 Computational Progresses in Combustion Modeling

Mohsen Ayoobi, Wayne State University
Alexandre Afonso, University of Porto
Carlos Pinho, University of Porto
Combustion phenomenon involves several physics including fluid mechanics, heat transfer, turbulence, chemistry, etc. Therefore, it is impossible to optimize different parameters and physics by prototyping and experimental setups in devices that deal with combustion. Here comes the need for computational modeling to reduce the costs of prototyping. In computational modeling of combustion-related devices, however, the challenge is to deal with the variety of parameters and the corresponding computational costs. In recent years, with the accelerated advances in computer sciences and high performance computational capabilities, combustion research community have come up with various computational approaches to simulate different combustion regimes and their applications. These numerical approaches can have different goals such as: a) deep understanding of the physics behind different processes, b) development of more efficient numerical models and approaches, c) optimizing combustion-related devices such as turbo-machines, combustion engines, jet engines, fuel reformers, and unmanned aerial devices, etc., and d) improving the fossil fuel consumption in combustion processes and decreasing the greenhouse emissions.
The main goal of the proposed mini-symposium is to bring the researchers in computational combustion community together to share their most recent findings in the following areas: laminar flames, turbulent combustion, flame dynamics and combustion instabilities, combustion characteristics at micro- and meso-scales devices, high-performance computing applications in combustion modeling, numerical methods for coupling reacting flows and complex chemistry, and numerical approaches in internal combustion engine simulations. While the primary aim of the symposium is to report on computational progresses in combustion physics and reactive flows, related topics such as advanced experimental methods that provide proper data for validation of computational models will be also welcomed.