EXPERIMENTAL AND COMPUTATIONAL SIMULATION OF IN-FLIGHT ICING PHENOMENA

Citation
Rj. Kind et al., EXPERIMENTAL AND COMPUTATIONAL SIMULATION OF IN-FLIGHT ICING PHENOMENA, Progress in aerospace sciences, 34(5-6), 1998, pp. 257-345
Citations number
157
Categorie Soggetti
Aerospace Engineering & Tecnology
ISSN journal
03760421
Volume
34
Issue
5-6
Year of publication
1998
Pages
257 - 345
Database
ISI
SICI code
0376-0421(1998)34:5-6<257:EACSOI>2.0.ZU;2-T
Abstract
This paper reviews experimental and computational methods used for sim ulation of ice accretion on aircraft flying through icing conditions. Such methods were recently reviewed by the AGARD FDP Working Group 20 and the present paper represents a revised and updated version of part s of the Working Group report. To provide essential background, it beg ins with a brief physical description of the ice accretion process. Ex perimental simulations must respect certain similarity requirements or scaling laws if they are to be valid; these requirements are discusse d in some detail and in the framework of this discussion, physical phe nomena are considered in more detail as well. Techniques and ground-ba sed facilities for experimental simulation of ice-accretion phenomena are then reviewed, followed by a review of techniques and facilities u sed for flight testing in support of aircraft design and certification for flight in icing conditions. Available instruments for required me asurements such as droplet size distribution and liquid water content and for in-flight ice detection are briefly described. Computational s imulation is becoming increasingly important in aircraft icing work; c omputational methods are used to simulate ice accretion both with and without ice-protection systems in operation, Computational approaches are outlined and current capabilities are evaluated. Conclusions emerg ing from the review include the following: rime icing is reasonably we ll understood and can be adequately simulated for most practical purpo ses using either experimental or computational methods; some of the ph ysical phenomena known to be important in glaze icing are only poorly understood and there is considerable uncertainty regarding whether or not certain other phenomena are important; consequently, much addition al research is required before reduced-scale experimental simulations or computational simulations of glaze icing will be sufficiently accur ate and reliable for most practical purposes. Research recommendations are put forward. (C) 1998 Published by Elsevier Science Ltd. All righ ts reserved.