Skip to content

Opening book details…

Can I read Comparison of Boundary-Layer Transition Predictions Using Flight Test Data on EtoBox?

Comparison of Boundary-Layer Transition Predictions Using Flight Test Data by Geza Schrauf; Jean Perraud; Domenico Vitiello; Fung Lam is a Engineering article available to read on EtoBox.

What is Comparison of Boundary-Layer Transition Predictions Using Flight Test Data about?

Flight tests using a Fokker F100 aircraft equipped with a natural laminar ow glove demonstrated that natural laminar ow is feasible for transport aircraft with up to 130 passengers. Furthermore, the ight tests generated a wealth of experimental data. These data have been evaluated with all known variations of the e N method. The aim of this investigation was to compare the different methods and to identify the one that yielded the best correlation. No clear winner turned up in our investigation; each method has its own merit. The envelope method, if based on a compressible stability theory with surface curvature effects, gives a valuable N-factor correlation. With this method, few pathological cases occurred. These were characterized by a measured transition behind the maximum of the computed N factors. Methods using the N-factor pairs (N TS , N b ) and (N TS , N CF ) computed with incompressible or compressible stability theory without curvature effects are also suitable. With these methods, however, many pathological cases occur. A satisfactory correlation can only be obtained if the pathological cases are excluded.

Who reads Comparison of Boundary-Layer Transition Predictions Using Flight Test Data?

It is typically read by researchers, students, and practitioners in Engineering.

Author
Geza Schrauf; Jean Perraud; Domenico Vitiello; Fung Lam
Publisher
American Institute of Aeronautics and Astronautics; American Institute of Aeronautics and Astronautics (AIAA) (ISSN 0021-8669)
Published
1998
Language
EN
Field
Engineering (Physical Sciences)

More by Geza Schrauf; Jean Perraud; Domenico Vitiello; Fung Lam

Browse all works by Geza Schrauf; Jean Perraud; Domenico Vitiello; Fung Lam