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Cold Soaked Fuel Frost Roughness Evolution on a Simulated Integrated Fuel Tank with Aluminum Skins Baylor University
- Format:
- Book
- Conference/Event
- Author/Creator:
- McClain, Stephen, author.
- Conference Name:
- International Conference on Icing of Aircraft, Engines, and Structures (2023-06-20 : Vienna, Austria)
- Language:
- English
- Physical Description:
- 1 online resource cm
- Place of Publication:
- Warrendale, PA SAE International 2023
- Summary:
- Cold soaked fuel frost (CSFF) is frost that forms on aircraft wing surfaces following a flight because of cold excess fuel remaining in integrated fuel tanks. Previous investigations by Zhang and others (2021a) and Zhang and others (2021b) have focused on experimental measurements and correlation development for frost observed using a small frost wind tunnel employing a thermo-electric cooler to impose a surface temperature for a range of environmental conditions. To model the CSFF approach in more detail, an experimental facility was developed and described by McClain and others (2020) using a thermal model of an integrated wing fuel tank placed inside of a climatic chamber. In this paper, experimental measurements of CSFF are presented using two aluminum wing skins. One of the skins was created using an aluminum rib structure, and the other skin was created without the rib. An automated, photogrammetric approach was used to characterize the roughness evolution on each surface when exposed to a set of environmental conditions. The measurements were then used to explore the correlation of Zhang and others (2021b) when considering the convection through the surrogate fuel fluid and the conduction through the aluminum skin. The correlations of Zhang and others (2021b) capture the trends of the root-mean-square (RMS) roughness and the relative magnitudes of the RMS roughness when comparing the effect of different air temperatures on frost evolution. However, the sand-grain roughness predictions using the correlation of Zhang and others (2021b) indicate that the present model implementation is underestimating the frost surface temperature generally leading to predictions of excessive equivalent sand-grain roughness values
- Notes:
- Vendor supplied data
- Publisher Number:
- 2023-01-1442
- Access Restriction:
- Restricted for use by site license
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