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Study on atomization and combustion characteristics of -- Fang, Xin-xin; Shen, Chi-bing -- Acta Astronautica, 136, pages 369-379, 2017 jul -- Elsevier -- 10.1016_j.actaastro.2017.03

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X.-x. Fang, C.-b. Shen Acta Astronautica 136 (2017) 369–379

2.3. Image processing method

To obtain the atomization cone angles, the atomization images

should be processed following the process shown in Fig. 3. Fig. 3(a) is a

background image, in which x and y represent the axial direction and

radial direction respectively. An original atomization image is shown in

Fig. 3(b), in which the partial image in red box whose height is 30 mm

is extracted. After that, the partial image is converted to grayscale

image firstly, and then to binary image. The boundary between black

and white is atomization gas-liquid boundary as shown in Fig. 3(c). To

obtain the atomization cone angles, the atomization gas-liquid boundary

was fitted by ordinary least squares techniques as shown in

Fig. 3(d), in which the red curve represents the atomization gas-liquid

boundary, the yellow lines represent the fitting curve and the blue lines

represent the fitting error. The angle between the two yellow lines is

defined as the atomization cone angle. The scale between the atomization

images and the physical dimensions in Fig. 3 is 76.5 mm per 648

pixels.

To reduce errors during image processing, atomization cone angles

of 1000 images were obtained firstly, and then an average was

computed. Fig. 4 shows average value of the atomization cone angles

for different number of images processed. With increase of images

processed, the average value fluctuates. But when the number of the

images is larger than 300, the atomization cone angles tend to be

stabilizing. Thus, it is reasonable to suppose the stable value as the

atomization cone angle in certain operating condition. In this paper,

1000 images were selected to obtain the atomization cone angles.

3. Numerical simulation set-up

3.1. Numerical simulation conditions

represent gaseous and liquid simulants respectively. In our experiments,

the mass flow rate of the simulants is smaller than that of the

real propellants. The values of TMR for different h o are given in Table 1.

TMR =( ρ v A )/( ρ v A )

Fig. 2. Pintle injector.

g g 2 g l l 2 l

(1)

During to the limits of the experimental platform, the effects of

ambient pressure on the atomization characteristics of the pintle

injectors are not taken into account yet. In addition, the influences of

the dissimilar of fluid properties between the simulants and the real

propellants on the experimental results were supposed keep the same

for each condition. So the conclusion of the experiments is reasonable.

Numerical simulation on LOX/methane pintle engines was conducted.

The influences of the main structural parameters of the pintle

injector and combustor on combustion performance were studied. The

numerical simulation is performed on the ANSYS Fluent platform. A

second-order, double-precision solver was utilized to conduct the

simulations.

The schematic configuration of the pintle engines is shown in Fig. 5.

Because the structure is axisymmetric, the numerical simulation was

conducted in two-dimensional mainly. The fuel and oxidizer are

gaseous methane and LOX respectively. The numerical simulation

conditions are listed in Table 2. The throat diameter and the contraction

ratio of the pintle engines are 47.17 mm and 4.49 respectively. The

boundary condition and the mesh of a close-up view of the injection

area in the two-dimensional numerical simulation are shown in Fig. 6.

The heat transfer was not taken into account in the numerical

simulation. And a “No Slip” boundary condition is used on the wall

in the numerical simulations. Demonstration of the grids could be

found in Section 3.2.

The Rosin-Rammler (R-R) distribution was used in the Discret

Phase Model (DPM). The R-R distribution is a cumulative mass

fraction distribution:

f ( d) = exp[−( d/ d) n

]

(2)

In Eq. (2) f ( d) represents the cumulative mass fraction of particles

Table 1

Gas-liquid momentum ratio for different h o.

h o (mm)

0.06 3.02

0.08 4.03

0.10 5.03

0.12 6.04

Momentum ratio

371

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