Particle Dynamics Simulations in Inlet Separator with an Experimentally Based Bounce Model

Hamed, A.; Jun, Yong-Du; Yeuan, J. J.

doi:10.2514/3.51415

Cited by 24 publications

(27 citation statements)

References 8 publications

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“…Vittal et al [4] provided experimental data for an IPS using A4 test dust. Hamed et al [7] utilized the same geometry in a combination of CFD and Lagrangian particle computations to study the separation efficiency of discretely sized particles. Vittal et al Efficiency prediction model applied to the data from Vittal et al [4] and Hamed et al [7] …”

Section: Resultsmentioning

confidence: 99%

“…Understanding of both the fluid flow field and the particulate motion in the splitter region is critical to achieve designs that maximize particle separation efficiency. A significant amount of effort has gone in to the computational studies [7,[14][15][16][17][18][19][20] , results, the unsteady three-dimensional turbulent flow associated with an IPS geometry is very difficult to predict and computationally expensive. Similarly, the particle dynamics of an irregularly-shaped polydisperse mixture that includes significant wall reflections is difficult to model.…”

Section: Introductionmentioning

confidence: 99%

“…Understanding of both the fluid flow field and the particulate motion in the splitter region is critical to achieve designs that maximize particle separation efficiency. A significant amount of effort has gone in to the computational studies [7,[14][15][16][17][18][19][20] . While these studies have identified features like the recirculation zone using solutions to the Reynolds Averaged Navier-Stokes equations, they have focused primarily on the average flow field and do not account for dynamic flow structures and the effect that these structures have on particles.…”

Section: Introductionmentioning

confidence: 99%

“…. 6.1 Calculations from Hamed et al [7] that calculated using RANS as well as semiempirical drag model and probabilistic bounce models based on experimental data for a) 200 µm, b) 10 µm, and c) 3 µm sand particles . .…”

mentioning

confidence: 99%

“…. 98 6.2 Experimental setup showing pictures of a) the wind tunnel showing the PDS (1), olive oil seed bar (2), tunnel air intake (3), test section (4), scavenge filter (5), core filter (6), and b) the PIV laser (7), and camera (8) …”

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confidence: 99%

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Inertial Particle Separator Multiphase Dynamics

Barone¹

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The effects of sand and dust ingestion often limit the useful life of turbine engines operating in austere environments and efforts are needed to reduce the quantity of particulate entering the engine. Several Engine Air Particle Separation (EAPS) systems exist. In particular, Inertial Particle Separators (IPS) are of interest because they offer significant weight savings and are more compact. However, they do not yet provide separation efficiencies as high as that from barrier filter and vortex-tube separator technologies. In order to further improve the efficiency of IPS systems, an in depth study of the multiphase flow dynamics has been undertaken.An experimental approach was chosen to fill the void of available data and provide useful information for model validation. A wind tunnel has been designed, constructed and tested to study the multiphase flow dynamics of an inertial particle separator. The experimental facility includes a rectangular test-section ideal for optical access, and is capable of reproducing full-scale flow and particle conditions seen in separator systems. Separation efficiencies were measured for A4 Coarse Test Dust over a range of operating conditions for several geometries.Results show that the separation efficiency is dependent on the scavenge flow split and strongly dependent on the outer surface geometry. Further separation efficiency tests where conducted using nominally sized 10 µm, 35 µm, and 120 µm glass spheres to eliminate the complexities of dust size, shape, and density that are present in Arizona Test Dust. A model was then created to determine the separation efficiency for particles of any given size. iv Several flow visualization techniques were performed to determine the fluid and particle dynamics. Oil-streak flow visualization was utilized to characterize the flow along the walls of the IPS to determine the location of the recirculation zone and to verify that sidewall effects were minimal. Particle Image Velocimetry (PIV) was utilized to quantify the fluid flow field using small olive oil tracer particles. PIV was further utilized using 10 µm and 35 µm glass-spheres to determine the particle velocities in the IPS. Finally, high-speed video was used to capture the dynamics of the particle-fluid interactions. These experiments have shown the dynamic instabilities present in an IPS system that lead to lower separation efficiencies compared with other EAPS systems. The identification of these instabilities will help to improve future IPS designs. Also, the data collected during the course of this study provides the first reference of comparison for computational modeling of an IPS. for the last few years, but he has taught me a great deal. I couldn't ask for a better advisor.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Understanding of both the fluid flow field and the particulate motion in the splitter region is critical to achieve designs that maximize particle separation efficiency. A significant amount of effort has gone in to the computational studies [7,[14][15][16][17][18][19][20] . While these studies have identified features like the recirculation zone using solutions to the Reynolds Averaged Navier-Stokes equations, they have focused primarily on the average flow field and do not account for dynamic flow structures and the effect that these structures have on particles.…”

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Inertial Particle Separator Multiphase Dynamics

Barone¹

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Numerical study of internal flow field and flow passage improvement of an inlet particle separator

Paoli

Wang

2011

Front. Energy

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By performing gas flow field numerical simulations for several inlet Reynolds numbers Re (from 2 Â 10 5 to 9 Â 10 5 ) and byflow ratios x (from 10% to 20%), the present study has proposed to improve the flow passage of an inlet particle separator. An adjacent objective of the study is to lower pressure losses of the inlet particle separator (IPS). No particle has been included in the gas flow for a k-epsilon turbulence model. The velocity distribution in different sections and the pressure coefficient C p along the duct have been analyzed, which indicates that there exist important low-velocity regions and vortices in the separation area. Therefore, the profile of streamlines along the original passage has been considered. This profile illustrated a vacuum region in the same area. All investigations suggest that the separation area is the most critical one for fulfilling the objective on pressure losses limitation. Then the flow passage improvement method has focused on the separation area. An improved shape has been designed in order to suit smoothly to the streamlines in this region. Similar numerical studies as those for the original shape have been conducted on this improved shape, confirming some considerable enhancements compared with the original shape. The significant vortices which appear in the original shape reduce in amount and size. Besides, pressure losses are greatly decreased in both outlets (up to 30% for high Reynolds number) and the flow is uniform at the main outlet. Subsequent engineering surveys could rely on expressions obtained for C p in both outlets which extend the pressure losses for a wide range of inlet Reynolds numbers. As a result, the numerical calculations demonstrate that the flow passage improvement method applied in this study has succeeded in designing a shape which enhances the flow behavior.

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Turboshaft engine air particle separation

Filippone

Bojdo

2010

Progress in Aerospace Sciences

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Particle Dynamics Simulations in Inlet Separator with an Experimentally Based Bounce Model

Cited by 24 publications

References 8 publications

Inertial Particle Separator Multiphase Dynamics

Inertial Particle Separator Multiphase Dynamics

Numerical study of internal flow field and flow passage improvement of an inlet particle separator

Turboshaft engine air particle separation

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