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DOI: 10.1615/ICHMT.2014.IntSympConvHeatMassTransf.470
pages 619-631

Gino J. A. de Andrade
Federal University of Rio de Janeiro, UFRJ Department of Mechanical Engineering, Politécnica/COPPE, Rio de Janeiro, Caixa Postal 68503, Cidade Universitaria, 21941-972, Brazil

Helcio R. B. Orlande
Department of Mechanical Engineering and Oncobiology Program, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil

Renato M. Cotta
Laboratory of Nano- and Microfluidics and Microsystems, LabMEMS, Mechanical Engineering Department and Nanotechnology Engineering Dept., POLI & COPPE, Universidade Federal do Rio de Janeiro, Cidade Universitária, Cx. Postal 68503, Rio de Janeiro, RJ, CEP 21945-970, Brazil; Interdisciplinary Nucleus for Social Development—NIDES/CT, UFRJ, Brazil; Mechanical Engineering Department, University College London, UCL, United Kingdom


Ice accretion may occur on several parts of airplanes, such as wings, control surfaces, horizontal and vertical stabilizers, fuselage nose, landing gear doors, engine intakes, Pitot tubes, sensors and drain system outputs. Recent accidents evidenced the danger resulting from ice accretion on Pitot tubes, in special with nowadays flight automation and control systems, which do not allow human interactions and are independent of pilot's decisions. The objective of this paper is to present the solution of an inverse heat conduction problem that aims at: (i) Estimating the heat transfer coefficient at the leading edge of Pitot tubes, in order to detect ice accretion; and (ii) Estimating the relative air speed. Due to the intrinsic dynamical behavior of the present inverse problem, it is solved within the Bayesian framework by using the Particle Filter, coded in the form of the SIR − Sampling Importance Resampling algorithm. Simulated temperature measurements are used in the inverse analysis for different air speed variations.

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