An efficient flamelet progress-variable method for modeling non-premixed flames in weak electric fields

TL;DR

This paper introduces an efficient flamelet progress-variable model for simulating non-premixed flames in weak electric fields, significantly reducing computational costs while accurately capturing electric field effects on flame behavior.

Contribution

The proposed model allows complex ionization mechanisms to be used without increasing computational cost, enabling efficient simulation of electric field effects on flames.

Findings

Successfully reproduces key effects of electric fields on flames

Reduces simulation time by up to 40 times

Validates with different chemical mechanisms and dimensions

Abstract

Combustion stabilization and enhancement of the flammability limits are mandatory objectives to improve nowadays combustion chambers. At this purpose, the use of an electric field in the flame region provides a solution which is, at the same time, easy to implement and effective to modify the flame structure. The present work describes an efficient flamelet progress-variable approach developed to model the fluid dynamics of flames immersed in an electric field. The main feature of this model is that it can use complex ionization mechanisms without increasing the computational cost of the simulation. The model is based on the assumption that the combustion process is not directly influenced by the electric field and has been tested using two chemi-ionization mechanisms of different complexity in order to examine its behavior with and without the presence of heavy anions in the mixture. Using a one- and two-dimensional numerical test cases, the present approach has been able to reproduce all the major aspects encountered when a flame is subject to an imposed electric field and the main effects of the different chemical mechanisms. Moreover, the proposed model is shown to produce a large reduction in the computational cost, being able to shorten the time needed to perform a simulation up to 40 times.