Applying Taguchi’s off-line quality control method and ANOVA on the maneuverability of the F-5E intake

Ibrahim, I.H. , Ng, E.Y.K. and Wong, K.W.L. (2009) Applying Taguchi’s off-line quality control method and ANOVA on the maneuverability of the F-5E intake. Mathematical and Computer Modelling, 49(7-8), pp. 1359-1371. (doi:10.1016/j.mcm.2009.01.006)

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Air quality leading up to the compressor face of a fighter aircraft determines the engine performance considerably. A deficiency in the quality could lead to flutter or stall in the engines. In this study, two statistical methods; the Taguchi Method (TM) and the Analysis of Variance (ANOVA) are used to evaluate airflow quality through the intake via fighter aircraft maneuvers. The three factors associated directly with aircraft maneuverability are the Mach number (M), Angles of Incident (α) and Sideslip (β). Desirable air quality can be described as having high pressure recoveries as well as low distortion at the Aerodynamic Interface Plane (AIP). The intake studied is the port side F-5E duct. Results show that an increase in the Mach number affects the streamwise diffusion of the fluid more than the changing the angles of attack and sideslip, resulting in lower pressure recovery. The secondary flow formation in the streamwise direction is unable to dissipate and increases in strength with increasing Mach number. The curvature in the z-axis is more pronounced than that existing in the x-axis, leading to the formation of more adverse pressure gradients forming and hence greater secondary flow strength. This results in a more distorted flow leading to the AIP. This observation is in tandem with the values of the DC (60) readings obtained. The F-5E’s Taguchi’s Method results show that Mach number had the greatest effect on pressure recovery, and AOA affected distortion most considerably. Results from ANOVA show that Factors A, B and C and Interactions AC and BC affect the distortion of airflow. However, Factor B or the angle of attack affects this distortion most significantly.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Ibrahim, Dr Imran
Authors: Ibrahim, I.H., Ng, E.Y.K., and Wong, K.W.L.
College/School:College of Science and Engineering > School of Engineering > Aerospace Sciences
Journal Name:Mathematical and Computer Modelling
ISSN (Online):1872-9479
Published Online:26 January 2009

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