Combustion phenomena can be found in numerous aspect of our life, starting from
the combustion in the engines and power plants that drive our modern world to the
chemical reactions in our atmospheric and the surrounding environmental systems
that sustain our life. Understanding these combustion phenomena are essential to
give us many advantages, from advancing energy efficiency, reducing emissions, and
solving global challenges such as climate change. While experimental methods give us
invaluable insight about the reacting flows, they are often limited by high costs, safety
concerns, and inability to capture detailed phenomena. Computational simulations
give complementary approach, enabling us to explore detailed phenomena and test a
wide range of conditions.
In 1988, a new computational fluid dynamic method called Lattice Boltzmann
Method (LBM) was introduced. The lattice Boltzmann method (LBM) has became
popular as a powerful computational technique for simulating fluid flow and transport
phenomena in a wide range of applications. The LBM for reacting flow modelling has
been developed in several research over the last two decades. However, the kinetic
models for reacting flow that have been already proposed before still have several
limitation, such as using non-general diffusion model, neglecting species partial viscosity
and lack of mathematical proof. Hence, in this research, we developed consistent lattice
Boltzmann method to simulate reacting flow that uses Stefan-Maxwell diffusion model
and at the same time includes the species partial viscosity. We have validated the
proposed method with several test case, showing that the proposed method can be
used to model reacting flow with good accuracy. However, due to inherent numerical
stability obtain from the LBM, the proposed method needs finer mesh size compared
to the conventional numerical method. Thus, solving this issue will be done on future
research.
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