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Published August 15, 2015 | Accepted Version
Journal Article Open

A computationally-efficient, semi-implicit, iterative method for the time-integration of reacting flows with stiff chemistry

Abstract

A semi-implicit preconditioned iterative method is proposed for the time-integration of the stiff chemistry in simulations of unsteady reacting flows, such as turbulent flames, using detailed chemical kinetic mechanisms. Emphasis is placed on the simultaneous treatment of convection, diffusion, and chemistry, without using operator splitting techniques. The preconditioner corresponds to an approximation of the diagonal of the chemical Jacobian. Upon convergence of the sub-iterations, the fully-implicit, second-order time-accurate, Crank–Nicolson formulation is recovered. Performance of the proposed method is tested theoretically and numerically on one-dimensional laminar and three-dimensional high Karlovitz turbulent premixed n-heptane/air flames. The species lifetimes contained in the diagonal preconditioner are found to capture all critical small chemical timescales, such that the largest stable time step size for the simulation of the turbulent flame with the proposed method is limited by the convective CFL, rather than chemistry. The theoretical and numerical stability limits are in good agreement and are independent of the number of sub-iterations. The results indicate that the overall procedure is second-order accurate in time, free of lagging errors, and the cost per iteration is similar to that of an explicit time integration. The theoretical analysis is extended to a wide range of flames (premixed and non-premixed), unburnt conditions, fuels, and chemical mechanisms. In all cases, the proposed method is found (theoretically) to be stable and to provide good convergence rate for the sub-iterations up to a time step size larger than 1 μs. This makes the proposed method ideal for the simulation of turbulent flames.

Additional Information

© 2015 Elsevier B.V. Received date: 10 October 2014; Revised date: 20 February 2015; Accepted date: 14 April 20; Available online 21 April 2015. The authors gratefully acknowledge funding from the U.S. Department of Energy-Basic Energy Sciences (DE-SC006591) under the supervision of Dr. Wade Sisk, the Air Force Office of Scientific Research (Award FA9550-12-1- 0144) under the supervision of Dr. Chiping Li, the Natural Sciences and Engineering Research Council of Canada (NSERC Postgraduate Scholarship D), and the Los Angeles chapter of the Achievement Rewards for College Scientists Foundation. This research used resources of the National Energy Research Scientific Computing Center, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. The authors would also like to thank Nicholas Burali who performed the 2D coflow diffusion flame simulation.

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Created:
August 22, 2023
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October 23, 2023