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Photogrammetric Frost Roughness Measurements in Cold-Soaked Conditions
Technical Paper
2019-01-1970
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Cold-soaked fuel frost (CSFF) is a form of aircraft wing contamination that occurs when a vehicle caries sufficient fuel for multiple trips or take-offs and landings. Following the first trip, which may reach altitudes above 10,000 m (33,000 ft), the fuel for the subsequent trips is carried in the wing tanks and may reach temperatures below -25 °C. In certain times of the year at some airports, temperatures and humidity levels will form CSFF on the aircraft wing surfaces over the fuel tanks. Unless an exemption is granted for the specific aircraft model, aircraft are not allowed to takeoff if the wing surfaces are contaminated by frost. Because aircraft operators desire to minimize vehicle time spent at airports, aircraft manufacturers are expected to pursue designs that safely operate with CSFF at takeoff and to pursue certification exemptions for aircraft models enabling CSFF takeoffs. To assist manufacturers in the design of future aircraft and to assist regulators in evaluating certification exemption requests, more information about frost roughness characteristics and evolution in CSFF conditions is required. However, because of the material and optical properties of frost, measuring CSFF properties using traditional roughness measurement presents challenges. For this investigation, a photogrammetric approach based on “structure-from-motion” algorithms traditionally employed in aerial surveying was developed to characterize the evolution of CSFF roughness. Using the approach, measurements of frost roughness evolution were performed in the Baylor Frost Tunnel (BFT) for two basic air temperature, humidity, surface temperature, and velocity conditions with frost time up to two hours. An analysis of variance approach was used to determine the sensitivity frost growth rates to the environmental conditions. The resulting measurements demonstrate different evolution histories with air velocity and air temperature being the most important factors governing roughness growth.
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Miyauchi, T., McClain, S., Zhang, T., O'Neal, D. et al., "Photogrammetric Frost Roughness Measurements in Cold-Soaked Conditions," SAE Technical Paper 2019-01-1970, 2019, https://doi.org/10.4271/2019-01-1970.Data Sets - Support Documents
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References
- Ljungstroem, B.L.G. , “Wind Tunnel Investigation of Simulated Hoar Frost on a 2 Dimensional Wing Section with and without High Lift Devices,” Aeronautical Research Institute of Sweden (FFA), FFA-AU-902, 1968.
- Dietenberger, M.A. , “A Model for Nocturnal Frost Formation on a Wing Section,” NASA CR-3733, 1983.
- Ranter, H. , “ASN Aircraft Accident Canadair CL-600-2B16 Challenger 604 N90AG Birmingham International Airport (BHX),” [Online]. Available: http://aviation-safety.net/database/record.php?id=20020104-0. [Accessed: 23-May-2018].
- Jackson, M. , “Petition for Exemptions, 14 CFR 91.527(a) - Operations in Icing Conditions,” FAA-2016-8561-0001, Boeing, Gary, Indiana, 2016.
- Boeing Inc. , “Boeing 737-600/−700/−800/−900 Flight Crew Operations Manual (FCOM) D6-27370-XXX rev 37: Supplementary Procedures-Anti-Ice, Rain-Cold Soaked Fuel Frost.”
- Lawrysyn, M. , Aerodynamic Characteristics of Frost Roughness (Carleton University, 1989), 157.
- Yun, R., Kim, Y., and Min, M. , “Modeling of Frost Growth and Frost Properties with Airflow over a Flat Plate,” International Journal of Refrigeration 25(3):362-371, 2002.
- Lee, S., Broeren, A., Kreeger, R. E., Potapczuk, M., and Utt, L. , “Implementation and Validation of 3-D Ice Accretion Measurement Methodology,” AIAA-2014-2613, Atlanta, GA, 2014.
- Broeren, A., Lee, S., and Monsastero, M. , “Validation of 3D Ice Accretion Measurement Methodology for Experiemtal Aerodynamic Simulation,” American Institute of Aeronautics and Astronautics, 6th, 2014.
- Kreeger, R.E. and Tsao, J. , “Ice Shapes on Tail Rotor,” AIAA-2014-2612, AIAA, Atlanta, GA, 2014.
- Linder, W. , Digital Photogrammetry: Theory and Applications (New York; Berlin: Springer, 2003).
- Schenk, T. , “Introduction to Photogrammetry,” Ohio State University Department of Civil and Environmental Engineering, 2005.
- Vosselman, G. and Maas, H.-G. , Airborne and Terrestrial Laser Scanning (Whittles Publishing, 2010).
- Hariharan, P. , Optical Interferometry (Academic Press, 2003).
- Collier, P., Dixon, L., Fontana, D., Payne, D., and Pearson, A.w. , “The Use of Close Range Photogrammetry for Studying Ice Accretion on Aerofoil Sections,” The Photogrammetric Record 16(94):671-684, 1999.
- Soinne, E., Rosnell, T., and Viljanen, N. , “Aerodynamic, Laser and Photogrammetry Measurements on CRM Wing Model with Frost,” Trafi Research Reports 11/2017, Finish Transportation Safety Agency, 2017.
- Koivisto, P. , “Effects of Cold Soaked Fuel Frost on Lift Degradation during Simulated Take-Off,” Aalto University and Trafi Research Reports 6/2015, Finish Transportation Safety Agency, 2015.
- Dooley, J.B. , “Determination and Characterization of Ice Propagation Mechanisms on Surfaces Undergoing Dropwise Condensation,” Ph.D. Thesis, Texas A&M University, 2010.
- Flack, K.A. and Schultz, M.P. , “Review of Hydraulic Roughness Scales in the Fully Rough Regime,” Journal of Fluids Engineering 132(4):041203, 2010.
- Freund, R.J. and Wilson, W.J. , Statistical Methods Second Edition (San Diego: Academic Press, 1997).
- Wu, X., Dai, W., Xu, W., and Tang, L. , “Mesoscale Investigation of Frost Formation on a Cold Surface,” Experimental Thermal and Fluid Science 31:1043-1048, 2007.