​The Computational Reacting Flow Laboratory (CRFL), led by Professor Hong Im, employs various in-house high fidelity simulation capabilities as predictive tools to unravel fundamental physics of laminar and turbulent combustion phenomena. Recent and ongoing research projects include: direct numerical simulations of laminar and turbulent sooting flames utilizing detailed kinetic models and method of moments; direct numerical simulations of auto-ignition in modern engine conditions; multi-phase modeling of droplet interaction and combustion; dynamics of bluff-body flame stabilizations; full-cycle internal combustion engine modeling with advanced turbulent combustion sub models; development of advanced algorithms for high performance computing including hybrid computing architecture; high fidelity simulation of large-scale combustors for low-grade fuel utilization; modeling of combustion at meso/micro-scales.

Latest News

09 December, 2019

CCRC hosts the first-ever KAUST Research Workshop on Physics of Turbulent Combustion

CCRC hosted the first-ever KAUST Research Workshop on Physics of Turbulent Combustion in the first week of December 2019. Chaired by Prof. Hong G. Im, the workshop brought together worldwide experts in turbulent combustion research to identify the most significant scientific and engineering issues towards predictive modeling of turbulent combustion phenomena towards clean and efficient energy conversion.

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12 August, 2018

Solar fuels working well under pressure

Highly fuel-efficient new engine designs could significantly reduce the environmental impact of vehicles, especially if the engines run on renewable nonpetroleum-based fuels. Ensuring these unconventional fuels are compatible with next-generation engines was the aim of a new computational study on fuel ignition behavior at KAUST.

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03 April, 2019

KAUST Professor Hong Im elected as Fellow of the Combustion Institute

KAUST Professor of Mechanical Engineering Hong Im was recently elected as a Combustion Institute Fellow for his outstanding contributions to the fundamental understanding of combustion through the amalgamation of theory, numerical methods and high performance computational simulations.

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