39th AIAA Thermophysics Conference 2007
DOI: 10.2514/6.2007-4392
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Validation of Conjugate Heat-Transfer Capability for Water-Cooled High-Speed Flows

Abstract: Thesis UMI Number: EP32091 INFORMATION TO USERS The quality of this reproduction is dependent upon the quality of the copy submitted. Broken or indistinct print, colored or poor quality illustrations and photographs, print bleed-through, substandard margins, and improper alignment can adversely affect reproduction.In the unlikely event that the author did not send a complete manuscript and there are missing pages, these will be noted. Also, if unauthorized copyright material had to be removed, a note will indi… Show more

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Cited by 14 publications
(9 citation statements)
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“…Golden [3] conducted a series of experiments with water fog injection in a gas turbine and measured the temperature of the combustor to study the reduction of nitrous oxide emissions. Engblom [7] validated a new conjugate heat-transfer capability against thermal experimental data for three water-cooled supersonic flow experiments. Kandula [8] developed a one-dimensional control volume formulation to predict turbulent jet mixing noise reduction of the exhaust plume by water injection and the mechanism of interaction of water injection and gas.…”
Section: Introductionmentioning
confidence: 99%
“…Golden [3] conducted a series of experiments with water fog injection in a gas turbine and measured the temperature of the combustor to study the reduction of nitrous oxide emissions. Engblom [7] validated a new conjugate heat-transfer capability against thermal experimental data for three water-cooled supersonic flow experiments. Kandula [8] developed a one-dimensional control volume formulation to predict turbulent jet mixing noise reduction of the exhaust plume by water injection and the mechanism of interaction of water injection and gas.…”
Section: Introductionmentioning
confidence: 99%
“…It is possible to compare the simulation results calculated in the present study against those found by several authors that used the same experimental data and conclude that the results have excellent compliance. Simulations of the Cases I, III and IV presented deviations respectively of 5.0%, −2.1% and −5.0%, and the Case II presented deviation of 7.3%, all of them corresponding to a difference from the experimental data by at most 1.1 K. According to Shope (6) , the nozzle for Case II has failed before the test reached the steady state, in which case the measured Table 5 Globally scaled residuals of each tested mesh for Case I (7) -model 2 − 7.9 − 6.0 − 12.2 − 17.0 Engblom et al (7) -model 3 12.9 18.7 5.3 2.0 Engblom et al (7) -model 4 1.4 8.7 − 9.0 − 11.5 Engblom et al (8) − 5.8 water temperature rise would be greater if the nozzle had survived, consequently reducing the deviation. Figure 7 shows temperature and heat flux distributions along the gas-side nozzle wall provided by different authors in comparison with those obtained in present study.…”
Section: Results and Analysismentioning
confidence: 99%
“…Engblom et al (7) presented a structured-mesh heat transfer module named FOGO, coupled with two different compressible Reynolds-Averaged Navier-Stokes flow solvers named TBD and Wind-US, and predictions are compared against experimental data for various turbulence models and coolant modeling assumptions. FOGO is a finite-volume, cell-centered, multi-block, structured-mesh, 3D heat conduction solver, with submodels for solid body conduction, forced convection, and nucleate and film boiling.…”
Section: Introductionmentioning
confidence: 99%
“…17 As described in Ref. 17, the three solvers have been run in a loosely-coupled manner, but efforts are continuing to more tightly couple the solvers for difficult problems and time-dependent flows.…”
Section: Conjugate Heat Transfer Modelingmentioning
confidence: 99%
“…Details of the initial formulation and validation for water-cooled high-speed flow cases were provided in Ref. 15. The conjugate heat transfer method includes a solid body heat conduction solver, FOGO, which uses a finite-volume, cell-centered, multi-block structured-grid discretization.…”
Section: Conjugate Heat Transfer Modelingmentioning
confidence: 99%