2001
DOI: 10.1016/s0017-9310(01)00017-5
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A conservation-based discretization approach for conjugate heat transfer calculations in hot-gas ducting turbomachinery components

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Cited by 30 publications
(14 citation statements)
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“…Studies including both experimental and computational conjugate heat transfer results provide important comparisons for validation of computational design tools. Papanicolaou et al [11] compared computational simulations of conjugate heat transfer to experimental measurements made on a flat plate with film cooling for a Bi ~ 3 and a Bi ~ 0.08. Their effectiveness results highlighted the large differences in temperature distribution that are observed for experiments with different Bi.…”
Section: Relevant Literaturementioning
confidence: 99%
“…Studies including both experimental and computational conjugate heat transfer results provide important comparisons for validation of computational design tools. Papanicolaou et al [11] compared computational simulations of conjugate heat transfer to experimental measurements made on a flat plate with film cooling for a Bi ~ 3 and a Bi ~ 0.08. Their effectiveness results highlighted the large differences in temperature distribution that are observed for experiments with different Bi.…”
Section: Relevant Literaturementioning
confidence: 99%
“…In the rear part, as shown also by Papanicolau [1], the difference is generated by the boundary conditions imposed on the numerical model. More precisely, the adiabatic condition at the extreme surfaces of the blade does not represent the real conditions of the test.…”
Section: Fig 4-film Cooled Flat Plat Dimensions In MMmentioning
confidence: 99%
“…The resolution of the CHT problem relies on the coupling between a flow solver and a conduction code that exchange boundary conditions at their interface [22]. This solution has the advantage of using existing state-of-the-art codes to solve fluid and solid equations [26][27][28][29][30][31]. Uncertainty quantification of the solid model parameterization is studied in order to gauge the sensitivity of the coupled results to experimental uncertainties.…”
Section: Introductionmentioning
confidence: 99%