A predictive model of the turbulent burning velocity for planar and Bunsen flames over a wide range of conditions

TL;DR

This paper introduces a comprehensive, parameter-free predictive model for turbulent burning velocity applicable to various flames and conditions, validated against extensive experimental and simulation data.

Contribution

The paper presents a novel algebraic model that predicts turbulent burning velocity across diverse conditions without free parameters, incorporating detailed chemistry and turbulence effects.

Findings

Model achieves 25.3% average error across 285 cases.

Validates against a wide range of fuels, pressures, and turbulence conditions.

Includes uncertainty quantification for broader applicability.

Abstract

We propose a predictive model of the turbulent burning velocity over a wide range of conditions. The model consists of sub models of the stretch factor and the turbulent flame area. The stretch factor characterizes the flame response of turbulence stretch and incorporates effects of detailed chemistry and transport with a lookup table of laminar counterflow flames. The flame area model captures the area growth based on Lagrangian statistics of propagating surfaces, and considers effects of turbulence length scales and fuel characteristics. The present model predicts the turbulent burning velocity via an algebraic expression without free parameters. It is validated against 285 cases of the direct numerical simulation or experiment reported from various research groups on planar and Bunsen flames over a wide range of conditions, covering fuels from hydrogen to n-dodecane, pressures from 1 to 20 atm, lean and rich mixtures, turbulence intensity ratios from 0.35 to 110, and turbulence length ratios from 0.5 to 80. The comprehensive comparison shows that the proposed turbulent burning velocity model has an overall good agreement over the wide range of conditions, with the averaged modeling error of 25.3%. Furthermore, the model prediction involves the uncertainty quantification for model parameters and chemical kinetics to extend the model applicability.