0
Research Papers

Effect of Reynolds Number, Hole Patterns, and Hole Inclination on Cooling Performance of an Impinging Jet Array—Part I: Convective Heat Transfer Results and Optimization

[+] Author and Article Information
Weihong Li

Gas Turbine Institute,
Department of Thermal Engineering,
Tsinghua University,
Beijing 100084, China
e-mail: Liwh13@mails.tsinghua.edu.cn

Xueying Li

Gas Turbine Institute,
Department of Thermal Engineering,
Tsinghua University,
Beijing 100084, China
e-mail: lixueying@mail.tsinghua.edu.cn

Li Yang

Department of Mechanical Engineering and
Material Science,
University of Pittsburgh,
Pittsburgh, PA 15213

Jing Ren

Gas Turbine Institute,
Department of Thermal Engineering,
Tsinghua University,
Beijing 100084, China
e-mail: renj@tsinghua.edu.cn

Hongde Jiang

Gas Turbine Institute,
Department of Thermal Engineering,
Tsinghua University,
Beijing 100084, China

Phillip Ligrani

Department of Mechanical and
Aerospace Engineering,
University of Alabama in Huntsville,
Huntsville, AL 35899
e-mail: pml0006@uah.edu

1Corresponding author.

Contributed by the International Gas Turbine Institute (IGTI) of ASME for publication in the JOURNAL OF TURBOMACHINERY. Manuscript received June 30, 2016; final manuscript received October 2, 2016; published online January 4, 2017. Editor: Kenneth Hall.

J. Turbomach 139(4), 041002 (Jan 04, 2017) (11 pages) Paper No: TURBO-16-1137; doi: 10.1115/1.4035045 History: Received June 30, 2016; Revised October 02, 2016

This study comprehensively illustrates the effect of Reynolds number, hole spacing, jet-to-target distance, and hole inclination on the convective heat transfer performance of an impinging jet array. Spatially resolved target surface heat transfer coefficient distributions are measured using transient liquid crystal (TLC) measurement techniques, over a range of Reynolds numbers from 5000 to 25,000. Considered are effects of streamwise and spanwise jet-to-jet spacing (X/D, Y/D: 4–8) and jet-to-target plate distance (Z/D: 0.75–3). Overall, a test matrix of 36 different configurations is employed. In addition, the effect of hole inclination (θ: 0–40 deg) on the heat transfer coefficient is investigated. Optimal hole spacing arrangements and impingement distance are pointed out to maximize the area-averaged Nusselt number and minimize the amount of cooling air. Also included is a new correlation, based on that of Florschuetz et al., to predict row-averaged Nusselt number. The new correlation is capable to cover low Z/D ∼ 0.75 and presents better prediction of row-averaged Nusselt number, which proves to be an effective impingement design tool.

Copyright © 2017 by ASME
Your Session has timed out. Please sign back in to continue.

References

Figures

Grahic Jump Location
Fig. 1

Double-wall cooling vane with multiple impinging jets

Grahic Jump Location
Fig. 2

Impingement cooling test facility

Grahic Jump Location
Fig. 3

Schematic representative of test models

Grahic Jump Location
Fig. 4

Correction of plenum temperature, Re = 20,000

Grahic Jump Location
Fig. 5

Comparison of (a) spanwise average and (b) area average Nusselt number with literature data

Grahic Jump Location
Fig. 6

Discharge coefficient (Cd) for various channel areas with impingement Reynolds number px = 4

Grahic Jump Location
Fig. 7

Local Nusselt number distribution for different Re values: px = 4, py = 6 and pz = 2

Grahic Jump Location
Fig. 8

Spanwise-averaged Nusselt number distribution for different Re values: px = 4, py = 6, and pz = 2

Grahic Jump Location
Fig. 9

Local Nusselt number distribution for different px values: py = 6, pz = 3, and Re = 10,000

Grahic Jump Location
Fig. 10

Spanwise-averaged Nusselt number distributions for different px and pz values: py = 6 and Re = 10,000

Grahic Jump Location
Fig. 11

Local Nusselt number distribution for different py values: px = 4, pz = 3, and Re = 10,000

Grahic Jump Location
Fig. 12

Spanwise-averaged Nusselt number distributions for different py and pz values: px = 4 and Re = 10,000

Grahic Jump Location
Fig. 13

Local Nusselt number distribution for different pz values: px = 4, py = 4, and Re = 10,000

Grahic Jump Location
Fig. 14

Spanwise-averaged Nusselt number distribution for different pz values: px = 4, py = 4, and Re = 10,000

Grahic Jump Location
Fig. 15

Local Nusselt number distribution for different θ values: px = 6, py = 6, pz = 2, and Re = 10,000

Grahic Jump Location
Fig. 16

Spanwise-averaged Nusselt number distribution for different θ values: px = 6, py = 6, pz = 2, and Re = 10,000

Grahic Jump Location
Fig. 17

Area-averaged Nusselt number of target plate for θ = 0 deg versus θ = 20 deg and 40 deg

Grahic Jump Location
Fig. 18

Area-averaged Nusselt number as a function of Gs at pz = 2

Grahic Jump Location
Fig. 19

Area-averaged Nusselt number as a function of Gs at various pz values and Re = 20,000

Grahic Jump Location
Fig. 20

The relative Nusselt number difference (RND) of impingement configurations with similar A but different px, py Re = 20,000

Grahic Jump Location
Fig. 21

Comparison of present area-averaged heat transfer results with Florschuetz et al. [15]

Grahic Jump Location
Fig. 22

Comparison of present area-averaged heat transfer results with the predicted results with new correlation

Grahic Jump Location
Fig. 23

Comparison of some present row-averaged heat transfer results with Florschuetz et al. [15] and new correlation

Grahic Jump Location
Fig. 24

Comparison of all present row-averaged heat transfer results with Florschuetz et al. [15] and new correlation

Tables

Errata

Discussions

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In