Quantitative Comparison of Ice Accretion Shapes on Airfoils

The need to compare quantitatively ice accretions that form on aircraft during e ight in icing conditions has recently expanded from a research-oriented activity to more general applications. For example, verie cation of the calibration of ground-test facilities is often performed by comparing ice shapes produced at a specie c icing condition. Becauseicing tests in ground facilitiesare important in the aircraft certie cation process, concernsabout the subjectivity and consistency of these ice shape comparisons have increased. The ice accretion comparison method presented uses geometric features as well as several parameters extracted from a P-Fourier descriptor of theiceaccretionproe letodevelopasingleparameterthatcanbeused torankhowwelltwoiceshapescompare.The results of this automated method were found to be consistent with comparisons of ice accretions made visually and based on percent differences of geometric characteristics. Also, for comparisons of ice shapes having a calculated comparison parameter less than 0.075 (7.5%), the drag coefe cient of the iced airfoils differs by less than 10%. Higher values of the comparison parameter produce greater visual differences in the ice accretions and larger variations in the drag coefe cient.

[1]  Vernon H. Gray Correlations Among Ice Measurements, Impingement Rates Icing Conditions, and Drag Coefficients for Unswept NACA 65A004 Airfoil , 1958 .

[2]  Michael B. Bragg,et al.  Investigation of factors that influence iced-airfoil aerodynamics , 2000 .

[3]  Tsunehiro Aibara,et al.  Human face profile recognition by a P-Fourier descriptor , 1993 .

[4]  I. K. Sethi,et al.  Walsh descriptors for polygonal curves , 1983, Pattern Recognit..

[5]  Gary A. Ruff,et al.  Evaluation of Methods to Select Scale Velocities in Icing Scaling Tests , 1999 .

[6]  Jun S. Huang,et al.  Separating similar complex Chinese characters by Walsh transform , 1987, Pattern Recognit..

[7]  Gary A. Ruff,et al.  Users Manual for the NASA Lewis Ice Accretion Prediction Code (LEWICE) , 1990 .

[8]  Mark G. Potapczuk,et al.  A Review of NASA Lewis' Development Plans for Computational Simulation of Aircraft Icing , 1999 .

[9]  Yoshinori Uesaka A new fourier descriptor applicable to open curves , 1984 .

[10]  Tuncer Cebeci,et al.  Calculation of Flow Over Iced Airfoils , 1988 .

[11]  Malayappan Shridhar,et al.  High accuracy character recognition algorithm using fourier and topological descriptors , 1984, Pattern Recognit..

[12]  Gary A. Ruff,et al.  Quantification of Ice Accretions for Icing Scaling Evaluations , 1998 .

[13]  Kenneth J. Witt,et al.  Experimental Frossling Numbers for Ice-Roughened NACA 0012 Airfoils , 2003 .

[14]  Michael Papadakis,et al.  Experimental study of simulated ice shapes on a NACA 0011 airfoil , 1999 .

[15]  Keiichi Abe,et al.  An application of the hough transform to the recognition of printed hebrew characters , 1983, Pattern Recognit..

[16]  Ralph Roskies,et al.  Fourier Descriptors for Plane Closed Curves , 1972, IEEE Transactions on Computers.

[17]  Hong Yan,et al.  Recognition of handwritten digits based on contour information , 1998, Pattern Recognit..

[18]  William B. Wright Users manual for the improved NASA Lewis ice accretion code LEWICE 1.6 , 1995 .

[19]  R. J. Shaw,et al.  Ice shapes and the resulting drag increase for a NACA 0012 airfoil , 1984 .

[20]  V. K. Govindan,et al.  Character recognition - A review , 1990, Pattern Recognit..

[21]  Guangyi Chen,et al.  Invariant Fourier-wavelet descriptor for pattern recognition , 1999, Pattern Recognit..

[22]  James Chung,et al.  Correlation Between Geometric Similarity of Ice Shapes and the Resulting Aerodynamic Performance Degradation: A Preliminary Investigation Using WIND , 2000 .

[23]  R. J. Shaw,et al.  An Experimental Study of Airfoil Icing Characteristics , 1982 .

[24]  Donald E. Cook Relationships of Ice Shapes and Drag to Icing Condition Dimensionless Parameters , 2000 .