2.2. MFL Pre-Reduced Mechanisms

MFL mechanisms provide detailed descriptions of various combustion and emissions processes. They are applicable over a broad range of conditions and include chemistry for many fuel components and their blends. The full MFL mechanisms can be used directly for many reactor models in Ansys Chemkin.


Tip:  For flame simulations in Chemkin, a high-temperature version of the full mechanism can be easily extracted in one step using Reaction Workbench.


However, most CFD applications require that the full mechanisms be reduced. Mechanism reduction can be performed using Reaction Workbench, which contains various reduction methods, such as DRG, DRGEP, DFGPFA, sensitivity analysis combined with DRG or DRGEP or DFGPFA, automatic isomer lumping, full sensitivity analysis, and more. Using these methods iteratively with the Mechanism Reduction Sessions facility in Reaction Workbench can effectively reduce a mechanism so that it can be used in many CFD applications, including Ansys Forte and Ansys Fluent.

Mechanism reduction is performed for a specific fuel surrogate of interest and for specific conditions of interest to the CFD application. Therefore, a reduced mechanism is accurate only for the fuels and conditions used for the reduction. We have pre-selected components for different conventional fuels and reduced their mechanisms for typical operating conditions. Table 2.1: Reduced mechanisms provided with the MFL shows the details of these pre-reduced mechanisms.

Table 2.1: Reduced mechanisms provided with the MFL

FuelSurrogate ComponentsSpecies nameLow-T auto-ignitionCO, HC, NOx emissionsNum. of speciesSoot models that can be used with reduced mechanism
Natural gas[a]methanech4x34 Acetylene-based empirical

93 vol% methane/ 5% ethane/ 2% n-butane

93 vol% ch4/ 5% c2h6/ 2% c4h1086(a) Acetylene-based empirical
120(b) Pseudo-gas
(c) Detailed soot-surface model
Propane propane c3h8

65

(a) Acetylene-based empirical
 (b) Pseudo-gas
Gasolineiso-octaneic8h18x

63

Acetylene-based empirical

22.4 wt% iso-octane/ 30.4% toluene/ 19.1% n-pentane/ 11.2% MCH/ 7.5% 1-hexene/ 7.3% 1,2,4-trimethyl benzene/ 2.1% n-butane

22.4 wt% ic8h18/ 30.4% c6h5ch3/ 19.1% nc5h12/ 11.2% mch/ 7.5% c6h12-1/ 7.3% tmb124/ 2.1% c4h10

149

(a) Acetylene-based empirical

159

(b) Pseudo-gas

273

(c) Detailed soot-surface model
Dieseln-heptanenc7h16

106

(a) Acetylene-based empirical

126

(b) Pseudo-gas
36 wt% n-hexadecane/ 9.7% AMN/ 16.4% HMN/ 38.9% decalin36 wt% nc16h34/ 9.7% a2ch3/ 15.4% hmn/ 38.9% decalin

174

(a) Acetylene-based empirical

265

(b) Pseudo-gas

326

(c) Detailed soot-surface model
Jet fueln-dodecanenc12h26x

74

Acetylene-based empirical
36.6 wt% n-dodecane/ 32.2% heptamethylnonane/ 10.3% methylcyclohexane/ 20.9% 1,2,4-trimethylbenzene36.6 wt% nc12h26/ 32.2% hmn/ 10.3% mch/ 20.9% tmb124

185

(a) Acetylene-based empirical

213

(b) Pseudo-gas

284

(c) Detailed soot-surface model

[a] May be used for blends with hydrogen.


Many empirical soot models use only acetylene as the soot precursor. The MFL pseudo-gas soot model is expected to be more accurate than a 2-step empirical model, as it employs acetylene, benzene, and phenyl as soot precursors and has been shown to be predictive over a wide range of fuels and operating conditions. The pseudo-gas soot model can predict soot mass but not particle sizes. The detailed soot-surface chemistry employs more soot precursors and when used with the Method of Moments or Sectional Method can predict soot particle sizes.

The reduced mechanisms for the pre-selected fuels and conditions are applicable for the conditions specified in the table. They should not be used for conditions outside of their range. However, for the multi-component fuels, it should be acceptable to modify the blend as described in the Model Fuel Library Validation Manual.