Experimental technique and assessment for measuring the convective heat transfer coefficient from natural ice accretions

Masiulaniec, K. C.; Vanfossen, G. J.; Dewitt, K. J.; Dukhan, Nihad

doi:10.2514/6.1995-537

Cited by 4 publications

(6 citation statements)

References 15 publications

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“…Fixed tempe rature interfaces are given by: 10) or T ) sill/ace = T rec (11 ) Equation 10 is rarely used for the simulation of a de-icer pad , but has been incorporated into the program which has been developed so that other heat transfer phenomena may be stud ied by the user. Equation 11 can be used to model a dry air boundary condition.…”

Section: Boundary Conditionsmentioning

confidence: 99%

LEWICE 2.2 Capabilities and thermal validation

Wright

2002

40th AIAA Aerospace Sciences Meeting &Amp; Exhibit

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I. AbstractA computational model of bleed air anti-icing and electrothermal de-icing have been added to the LEWICE 2.0 1 software by integrating the capabilities of two previous programs, ANTICE 2 and LEWICE/ Thermal 3 . This combined model has been released as LEWICE version 2.2. Several advancements have also been added to the previous capabilities of each module. This report will present the capabilities of the software package and provide results for both bleed air and electrothermal cases. A comprehensive validation effort has also been performed to compare the predictions to an existing electrothermal database. A quantitative comparison shows that for deicing cases, the average difference is 9.4°F (26%) compared to 3°F for the experimental data while for evaporative cases the average difference is 2JOF (32%) compared to an experimental error of 4°F. Ii! Mass flux (kg/ m 2 s) ' Senior Member, AIAA.

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Section: Boundary Conditionsmentioning

confidence: 99%

LEWICE 2.2 Capabilities and thermal validation

Wright

2002

40th AIAA Aerospace Sciences Meeting &Amp; Exhibit

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“…Since the tiles had dimensions of 17 mm x 28 mm, this technique effectively averaged the heat transfer over a relatively large area compared to the sub-millimeter scales achieved by the IR technique of Henry et al [4]. Since good resolution of the heat transfer field is helpful for understanding evolution of the localized ice growths that dominate the micro-physics of icing, the IR techniques may provide more flexibility for describing variations in heat transfer than those of Masiulaniec et al [8].…”

Section: Previous Heat Transfer Studiesmentioning

confidence: 99%

“…Other data available from the IRT experiments include overview video images and photographs of long-term global ice shapes, direct tracings of ice accretion shapes taken in model cross-sectional planes, and close-up digital camera images of icing roughness [5]. In addition, Masiulaniec et al [8] developed a technique for making investment castings of actual ice shapes from IRT experiments.…”

Section: Icing Experimentsmentioning

confidence: 99%

“…Masiulaniec et al [8] conducted measurements of heat transfer on investment casting tiles of IRT ice shapes from flat plate models. Instead of heating the substrate from the "flow side" of the model with IR heaters as in the work of Henry et al [4], this study applied heat to the back side of roughness tiles exposed to various flow conditions.…”

Section: Previous Heat Transfer Studiesmentioning

confidence: 99%

“…The second image set is derived from the models used in the wind tunnel heat transfer experiments of Masiulaniec et al [8] These models consist of castings from flat plate ice shapes taken at the NASA Lewis IRT. In the IRT experiments that produced the castings, a flat plate was exposed to an icing cloud which produced ice roughness that varied primarily with streamwise location on the plate.…”

Section: Icing Roughness Castingsmentioning

confidence: 99%

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Quantitative analysis of ice accretion roughness using spectral and stochastic techniques

Orr¹

1995

33rd Aerospace Sciences Meeting and Exhibit

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A self-consistent scheme for relating wind tunnel ice accretion roughness to the resulting enhancement of heat transfer is described. Two methods for quantitative analysis of early ice accretion roughness are presented and discussed. The first technique employs a "structural-stochastic" Markov Random Field (MRF) model to simulate realistic-looking synthetic accretion images. The MRF technique can also be used to extract parameters from existing images although the physical interpretation of the parameters is difficult. The second technique uses a spectral estimation technique (SET) which extracts physically descriptive parameters by comparing scan lines from the experimentally-obtained accretion images to a prescribed test function. This technique is shown to yield consistent and physically relevant results when applied to a series of images from the NASA Lewis Icing Research Tunnel (IRT). An experimental technique is then presented for constructing physical roughness models suitable for wind tunnel testing that match the SET parameters extracted from the IRT images. The icing castings and modeled roughness are tested for enhancement of boundary layer heat transfer using infrared techniques in a "dry" wind tunnel.

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