Turbulent spray combustion of n-dodecane was modeled at relevant engine conditions using two combustion models (direct integration of chemistry (DIC) and flamelet generated manifolds (FGM)) and multifidelity turbulence models (dynamic structure large eddy simulation (LES) and renormalization group (RNG) Reynolds-averaged Naiver–Stokes (RANS)). The main objective of this work is to study the effect of various combustion and turbulence models on spray behavior and quantify these effects. To reach these objectives, a recently developed kinetic mechanism and well-established spray models were utilized for the three-dimensional turbulent spray simulation at various combustion chamber initial gas temperature and pressure conditions. Fine mesh with a size of 31 μm was utilized to resolve small eddies in the periphery of the spray. In addition, a new methodology for mesh generation was proposed and investigated to simulate the measured data fluctuation in the CFD domain. The pressure-based ignition delay, flame lift-off length (LOL), species concentrations, spray, and jet penetrations were modeled and compared with measured data. Differences were observed between various combustion and turbulence models in predicting the spray characteristics. However, these differences are within the uncertainties, error, and variations of the measured data.
Turbulent Spray Combustion Modeling Using Various Kinetic Solvers and Turbulence Models
Contributed by the Combustion and Fuels Committee of ASME for publication in the JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Manuscript received October 14, 2017; final manuscript received June 17, 2018; published online August 20, 2018. Assoc. Editor: Timothy J. Jacobs. This work is in part a work of the U.S. Government. ASME disclaims all interest in the U.S. Government's contributions.
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Piehl, J. A., Samimi Abianeh, O., Goyal, A., and Bravo, L. (August 20, 2018). "Turbulent Spray Combustion Modeling Using Various Kinetic Solvers and Turbulence Models." ASME. J. Eng. Gas Turbines Power. December 2018; 140(12): 121503. https://doi.org/10.1115/1.4040659
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