Research Papers: Gas Turbines: Combustion, Fuels, and Emissions

Experimental and Computational Analysis of the Swirling Flow Generated by an Axial Counter-Rotating Swirler in a Rectangular Model Chamber Using Water Test Rig

[+] Author and Article Information
Foad Vashahi

Graduate School of Chonbuk National University,
Fluid Engineering Laboratory,
Jeonju 54896, South Korea
e-mail: Foadvashahi@outlook.com

Sangho Lee

Graduate School of Chonbuk National University,
Fluid Engineering Laboratory,
Jeonju 54896, South Korea
e-mail: Leesh_235@naver.com

Jeekeun Lee

Division of Mechanical System Engineering
of Chonbuk National University,
Jeonju 54896, South Korea
e-mail: Leejk@jbnu.ac.kr

1Corresponding author.

Contributed by the Combustion and Fuels Committee of ASME for publication in the JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Manuscript received June 14, 2015; final manuscript received December 20, 2016; published online March 15, 2017. Editor: David Wisler.

J. Eng. Gas Turbines Power 139(8), 081501 (Mar 15, 2017) (12 pages) Paper No: GTP-15-1204; doi: 10.1115/1.4035734 History: Received June 14, 2015; Revised December 20, 2016

This paper reports the particle image velocimetry (PIV) measurement of swirling flow in a confined rectangular-shaped model combustion chamber. Water is used as the working fluid, and the average profiles of axial, radial, and magnitudes of velocity are given. Flow behavior is investigated and a rebound angle term is defined to investigate the direct effects of the noncircular chamber shape. Flow behavior near the walls is discussed in detail, as are other important swirling flow features such as the appearance of corner and central toroidal recirculation zones. Additionally, experimental data are compared with simulation results. Analyses were performed via commercial software STAR-CCM+ version 9.0. The large eddy simulation (LES) dynamic Smagorinsky subgrid scale, realizable k–ε model, and k–ω shear-stress transport (SST) detached eddy version were used as simulation tools. Three different test filters of 1.0, 2.2, and 3.0 were applied to the LES to identify improvements in accuracy. The overall best turbulence model is compared to the experimental result and reliability of such model is evaluated. The ability of such model was profound within the upstream and to some extent unreliable in downstream.

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Fig. 1

Schematic of the water test setup for analysis of the swirling flow in a model rectangular chamber. 1. Water tank, 2. water pump, 3. main/drain valve, 4. pressure sensor, 5. swirler set, 6. Nd: YAG laser, 7. power supply, 8. synchronizer, 9. CCD camera, 10. image processor, 11. pressure monitor, and 12. DAQ computer.

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Fig. 2

(a) Schematic of the rectangular shape chamber and dual axial counter rotating swirler and (b) domain characteristics and flow areas of interest

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Fig. 3

Histogram of cell and wall y+ distribution in the entire region of total 4.7 × 106 cells

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Fig. 4

Radial distribution of normalized average radial velocity of experimental data at different axial distances

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Fig. 5

Radial distribution of normalized average axial velocity of experimental data at different axial distances

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Fig. 6

Instantaneous velocity vectors on the center of the swirler: (a) the zero axial velocity iso-line, (b) overlaid by contour of negative axial velocity and streamlines and (c) averaged velocity vectors overlaid by contour of negative axial velocity and streamlines

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Fig. 7

Instantaneous velocity vector plots on the center of the swirler with overlaid contour of negative axial velocity and partial streamlines at several phases: (a), (b) N shape reversed flow, and (c), (d) inverse N shape reversed flow

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Fig. 8

Radial distribution of the normalized average velocity magnitude of the experimental data

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Fig. 9

Measurements of the rebound angle in a rectangular model combustor on the central plane. Averaged velocity vectors of experimental data with isoline of zero axial velocity.

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Fig. 10

Comparison of the radial distribution of normalized average axial velocity profiles

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Fig. 11

Comparison of the radial distribution of normalized average radial velocity profiles

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Fig. 12

Cumulative frequency analysis of different turbulence models performance: (a) overall performance within certain range and (b) overall performance in certain areas

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Fig. 13

(a), (b) comparison of instantaneous velocity streamlines colored by negative axial velocity and (c), (d) comparison of averaged streamlines colored by averaged negative axial velocity

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Fig. 14

Isosurface of the negative average axial velocity region colored by pressure




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