Abstract
This paper presents a methodology for the optimization of hot-bleed-air-type anti-icing systems, known as Piccolo tubes. Having identified worst case flight and icing conditions, as well as any anti-icing system constraints as inputs, the aim is to achieve fully evaporative conditions over the heated surfaces. To do so, an optimization method based on 3D computational fluid dynamics (CFD), reduced order models (ROM) and genetic algorithms (GA) is constructed to determine the optimal configuration of the Piccolo tube (jet angles, spacing of holes, and position from leading edge). The external and internal airflows are computed using FENSAP-ICE. The methodology leads to optimal configurations for 3to 5dimensional design spaces.
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