Introduction of a Cost Effective Method for Analysing Engine Intake Ice Removal Device for Small Aircraft

Abstract

Solid (ice) and liquid particles have been defined, and their trajectories are investigated by using fully coupled model. The interaction of the wall-fluid particle has been taken into consideration. Keywords CFD, particle tracking, Lagrangian particle transport modelling, particle and ice remover device IntroductionThe need for different calculation methods is increased significantly due to the highly cost efficient solutions. Several researches (Hargitai, 2012;Beneda, 2008) were in line with these approaches in the vehicle engineering in the last decade. Furthermore, regarding the aeronautical sector, as air traffic continuously increases; it has become essential to ensure the maximum flight safety (Rohács, 2015) beside expected performance and efficiency with including the application of optimization (Hanzal, 2015). Consequently while for larger manufacturers there are enormous power and human resource capacity, and different developments are supported by highly utilized simulation tools and test benches, for smaller aircraft developers, manufacturers the available resources are usually limited. Several international projects target these companies to ensure the "knowhow" for these contributors, such as the ESPOSA project. Hence, in line with these efforts, the main goal of the present paper is to introduce a cost efficient calculation method for modelling and simulating particle filtering by engine intake ice remover device with especial care for the water droplets and ice particles. The particle tracking, particle separation is a significant research field; many publications are available in this area. Different types of solid or fluid particles can cause problems in turbomachinery (Brun et al., 2012). Several separation techniques and/or methods are available in aerospace (Musgrove et al., 2009;Bojdo and Filippone, 2011), vehicle applications (Lindberg, 2015) or even in food processing (Anandharamakrishnan, 2013). Depending on the problem, some effects can be neglected from the calculation; but others, as gravitation, viscosity or electromagnetics have considerably high effect (Hellmann et al., 2014). The simulation of particle tracking for positron emission (Chang et al., 2013) or cells and low sized particles (Meijering et al., 2012) for instances is more and more required since the cost of these experiments are also high. Particle Transport TheoryTwo types of particle transport methods are available in CFD simulations in general: the Eulerian and the Lagrangian method. The Eulerian method handles the particle phase as a continuum and develops its conservation equations on a control volume basis, likewise for the fluid phase. The approximation of the Lagrangian method is different: it considers particles as a discrete phase and tracks the pathway of each individual particle (Zhang and Chen, 2007). The Lagrangian method is used mostly to predict the overall particle dispersion pattern and the temporal development of the mean concentration, and is base of further developments, like the viscoela...