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Research Papers

Effects of Jet-To-Target Plate Distance and Reynolds Number on Jet Array Impingement Heat Transfer

[+] Author and Article Information
Jae Sik Jin

Parks College of Engineering,
Aviation, and Technology,
Saint Louis University,
3450 Lindell Boulevard,
St. Louis, MO 63103

Phil Ligrani

Oliver L. Parks Endowed Chair Professor
Parks College of Engineering,
Aviation, and Technology,
Saint Louis University,
3450 Lindell Boulevard,
McDonnell Douglas Hall Room 1033A,
St. Louis, MO 63103

Hee-Koo Moon

Aero/Thermal & Heat Transfer,
Solar Turbines, Inc.,
2200 Pacific Highway,
P. O. Box 85376,
San Diego, CA 92186-5376

1Corresponding author.

Contributed by the International Gas Turbine Institute (IGTI) of ASME for publication in the JOURNAL OF TURBOMACHINERY. Manuscript received July 12, 2013; final manuscript received July 22, 2013; published online September 27, 2013. Editor: Ronald Bunker.

J. Turbomach 136(5), 051013 (Sep 27, 2013) (13 pages) Paper No: TURBO-13-1153; doi: 10.1115/1.4025228 History: Received July 12, 2013; Revised July 22, 2013

Data which illustrate the effects of jet-to-target plate distance and Reynolds number on the heat transfer from an array of jets impinging on a flat plate are presented. Considered are Reynolds numbers Rej ranging from 8200 to 52,000 with isentropic jet Mach numbers of approximately 0.1 to 0.2. Jet-to-target plate distances Z of 1.5D, 3.0D, 5.0D, and 8.0D are employed, where D is the impingement hole diameter. Streamwise and spanwise hole spacings are 8D. Local and spatially-averaged Nusselt numbers show strong dependence on the impingement jet Reynolds number for all situations examined. Experimental results also illustrate the dependence of local Nusselt numbers on normalized jet-to-target plate distance, especially for smaller values of this quantity. The observed variations are partially due to accumulating cross-flows produced as the jets advect downstream, as well as the interactions of the vortex structures, which initially form around the jets and then impact and interact as they advect away from stagnation points along the impingement target surface. The highest spatially-averaged Nusselt numbers are present for Z/D = 3.0 for Rej of 8200, 20,900, and 30,000. When Rej = 52,000, spatially-averaged Nusselt numbers increase as Z/D decreases, with the highest value present at Z/D = 1.5.

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References

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Figures

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Fig. 1

Impingement flow facility

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Fig. 2

Impingement flow facility test section, including impingement plenum and impingement channel

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Fig. 3

Example of one impingement test plate configuration employed in the present investigation

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Fig. 4

Discharge coefficient variations with impingement Reynolds number for different Z/D jet-to-target plate distances and X/D = Y/D = 8

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Fig. 5

Local Nusselt number variations for Rej ≈ 8200 for different Z/D values and X/D = Y/D = 8. (a) Z/D = 1.5. (b) Z/D = 3.0. (c) Z/D = 5.0. (d) Z/D = 8.0.

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Fig. 6

Local Nusselt number variations for Rej ≈ 30,000 for different Z/D values and X/D = Y/D = 8. (a) Z/D = 1.5. (b) Z/D = 3.0. (c) Z/D = 5.0. (d) Z/D = 8.0.

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Fig. 7

Local Nusselt number variations for Rej ≈ 8200 for different Z/D values and X/D = Y/D = 8. (a) Variations with y/D for x/D = 20. (b) Variations with x/D for y/D = 4.

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Fig. 8

Local Nusselt number variations for Rej ≈ 20,900 for different Z/D values and X/D = Y/D = 8. (a) Variations with y/D for x/D = 16. (b) Variations with x/D for y/D = 4.

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Fig. 9

Local Nusselt number variations for Rej ≈ 30,000 for different Z/D values and X/D = Y/D = 8. (a) Variations with y/D for x/D = 16. (b) Variations with x/D for y/D = 4.

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Fig. 10

Local Nusselt number variations for Rej ≈ 52,000 for different Z/D values and X/D = Y/D = 8. (a) Variations with y/D for x/D = 4. (b) Variations with x/D for y/D = 0.

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Fig. 11

Line-averaged Nusselt numbers as dependent upon x/D for different Z/D values, Rej ≈ 8200, and X/D = Y/D = 8

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Fig. 12

Line-averaged Nusselt numbers as dependent upon x/D for different Z/D values, Rej ≈ 20,900, and X/D = Y/D = 8

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Fig. 13

Line-averaged Nusselt numbers as dependent upon x/D for different Z/D values, Rej ≈ 30,000, and X/D = Y/D = 8

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Fig. 14

Line-averaged Nusselt numbers as dependent upon x/D for different Z/D values, Rej ≈ 52,000, and X/D = Y/D = 8

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Fig. 15

Maximum and minimum line-averaged Nusselt numbers as dependent upon Z/D for Rej ≈ 8200 and X/D = Y/D = 8

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Fig. 16

Maximum and minimum line-averaged Nusselt numbers as dependent upon Z/D for Rej ≈ 20,900 and X/D = Y/D = 8

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Fig. 17

Maximum and minimum line-averaged Nusselt numbers as dependent upon Z/D for Rej ≈ 30,000 and X/D = Y/D = 8

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Fig. 18

Maximum and minimum line-averaged Nusselt numbers as dependent upon Z/D for Rej ≈ 52,000 and X/D = Y/D = 8

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Fig. 19

Spatially-averaged Nusselt numbers as dependent upon x/D for Rej ≈ 8200 and X/D = Y/D = 8

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Fig. 20

Spatially-averaged Nusselt numbers as dependent upon Z/D for Rej ≈ 8,200 and X/D = Y/D = 8

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Fig. 21

Spatially-averaged Nusselt numbers as dependent upon Z/D for Rej ≈ 20,900 and X/D = Y/D = 8

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Fig. 22

Spatially-averaged Nusselt numbers as dependent upon Z/D for Rej ≈ 30,000 and X/D = Y/D = 8

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Fig. 23

Spatially-averaged Nusselt numbers as dependent upon Z/D for Rej ≈ 52,000 and X/D = Y/D = 8

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Fig. 24

Line-averaged Nusselt numbers as dependent upon x/D for different values of Rej, Z/D = 3, and X/D = Y/D = 8, including comparisons with Goodro et al. [23]

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Fig. 25

Spatially-averaged Nusselt numbers as dependent upon x/D for different values of Rej, Z/D = 3, and X/D = Y/D = 8, including comparisons with Goodro et al. [23] and Florschuetz et al. [7]

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Fig. 26

Spatially-averaged Nusselt numbers as dependent upon Z/D for Rej ≈ 8200, and X/D = Y/D = 8, including comparisons with Kercher and Tabakoff [3] and Florschuetz et al. [7]

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