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On the Formation of Nitrogen Oxides During the Combustion of ...

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3.3 Numerical Study <strong>of</strong> <strong>the</strong> Fluid Dynamics Within <strong>the</strong> <strong>Combustion</strong> Chamber<br />

primary goal <strong>of</strong> supporting <strong>the</strong> experiment design process (Chap. 3.1) and not<br />

<strong>of</strong> delivering scientific results [418, 443].<br />

3.3.1 Fluid Dynamics <strong>During</strong> Ignition and <strong>Combustion</strong><br />

Modeling <strong>of</strong> <strong>the</strong> fluid dynamics during ignition and combustion aims at reproducing<br />

<strong>the</strong> experimental conditions as well as possible and keeping <strong>the</strong><br />

numerical complexity low to a reasonable extent. The simulation is transient,<br />

<strong>the</strong> domain is stationary, <strong>the</strong>rmal energy is selected for <strong>the</strong> heat transfer<br />

model, and finite rate chemistry is employed for <strong>the</strong> combustion model.<br />

However, nei<strong>the</strong>r a buoyancy model is needed as a result <strong>of</strong> microgravity nor<br />

a turbulence model due to laminar conditions. Since <strong>the</strong> selection <strong>of</strong> an upwind<br />

differencing scheme (UDS) did not result in a significant improvement<br />

<strong>of</strong> stability when increasing time discretization, <strong>the</strong> CFX ® -specific high resolution<br />

scheme was finally adopted for advection. The transient terms were computed<br />

with a second-order backward Euler scheme and an implicit time discretization.<br />

The residual target was defined at 1×10 4 (RMS) in <strong>the</strong> basic solver<br />

control settings, and an optimized time step size <strong>of</strong> 3×10 −5 s was used with a<br />

maximum <strong>of</strong> 15 coefficient loops (inner iterations). The Lewis number (Le) is<br />

chosen as unity for this CFD study, assuming simple molecular transport with<br />

identical values <strong>of</strong> <strong>the</strong>rmal and mass diffusivity (Eq. (3.10)) [21, 22, 443]:<br />

Le≡ α D = k<br />

ρ c p D<br />

= 1. (3.10)<br />

The droplets are modeled as spherical volumetric sources <strong>of</strong> vaporized<br />

(gaseous) fuel. Thus, <strong>the</strong> liquid phase is modeled only indirectly, and one<br />

could speak <strong>of</strong> a substitution by “imaginary” droplets, occupying <strong>the</strong> volume<br />

<strong>of</strong> <strong>the</strong> corresponding real droplets in <strong>the</strong> ordinary gas phase domain.<br />

Figure 3.21 illustrates <strong>the</strong> modeling approach. The fuel source diameter decreases<br />

due to vaporization, as indicated by <strong>the</strong> time-dependent diameter<br />

D(t ). At simulation start, it coincides with <strong>the</strong> sphere <strong>of</strong> radius r 1 : D(t 0 )=2r 1 .<br />

In order to model <strong>the</strong> gradual shrinkage, three user FORTRAN routines were<br />

included in <strong>the</strong> CFX ® solution process. They are called by <strong>the</strong> CFX ® solver<br />

through a source code interface and individually calculate <strong>the</strong> remaining<br />

droplet masses after each time step according to Equation (3.11), subtracting<br />

<strong>the</strong> fuel amount ∆m n v that vaporized during <strong>the</strong> current time step n from <strong>the</strong><br />

105

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