Accepted manuscript
Parallel on-the-fly adaptive kinetics in direct numerical simulation of turbulent premixed flame
Proceedings of the Combustion Institute, Vol.36(2), pp.2025-2032
2017
Handle:
https://hdl.handle.net/2376/118461
Appears in Aviation Sustainability Center (ASCENT)
Abstract
A new numerical framework for direct numerical simulation (DNS) of turbulent combustion is developed employing on-the-fly adaptive kinetics (OAK), correlated transport (CoTran), and a point-implicit ODE solver (ODEPIM). The new framework is tested on a canonical turbulent premixed flame employing a real conventional jet fuel mechanism. The results show that the new framework provides a significant speed-up of kinetics and transport computation, which allows DNS with large kinetic mechanisms, and at the same time maintains high accuracy and good parallel scalability. Detailed diagnostics show that calculation of the chemical source term with ODEPIM is 17 times faster than with a pure implicit solver in this test. OAK utilizes a path flux analysis (PFA) method to reduce the large kinetic mechanism to a smaller size for each location and time step, and it can further speed up the chemical source calculation by 2.7 times in this test. CoTran uses a similar correlation method to make the calculation of mixture-averaged diffusion (MAD) coefficients 72 times faster in this test. Compared to conventional DNS, the total CPU time of the final framework is 20 times faster, kinetics is 46 times faster, and transport is 72 times faster in this test.
Metrics
66 File views/ downloads
45 Record Views
Details
- Title
- Parallel on-the-fly adaptive kinetics in direct numerical simulation of turbulent premixed flame
- Creators
- Suo YangReetesh RanjanVigor YangSuresh MenonWenting Sun
- Publication Details
- Proceedings of the Combustion Institute, Vol.36(2), pp.2025-2032
- Academic Unit
- Aviation Sustainability Center (ASCENT); Alternative Jet Fuel
- Publisher
- Elsevier Inc
- Grants
- 13-C-AJFE-GIT-009, Federal Aviation Administration (United States, Washington) - FAA
- Identifiers
- 99900581260301842
- Language
- English
- Resource Type
- Accepted manuscript