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February 20, 2025

We are pleased to share thatย LESSICEย participated in theย Spoke 6 Workshopย held in Pisa on February 18-19, 2025. Organized by Sapienza Universitร  di Roma and Universitร  di Pisa under theย ๐ˆ๐‚๐’๐‚ ๐ˆ๐ญ๐š๐ฅ๐ข๐š๐ง ๐‘๐ž๐ฌ๐ž๐š๐ซ๐œ๐ก ๐‚๐ž๐ง๐ญ๐ž๐ซ ๐จ๐ง ๐‡๐ข๐ ๐ก-๐๐ž๐ซ๐Ÿ๐จ๐ซ๐ฆ๐š๐ง๐œ๐ž ๐‚๐จ๐ฆ๐ฉ๐ฎ๐ญ๐ข๐ง๐ , ๐๐ข๐  ๐ƒ๐š๐ญ๐š, ๐š๐ง๐ ๐๐ฎ๐š๐ง๐ญ๐ฎ๐ฆ ๐‚๐จ๐ฆ๐ฉ๐ฎ๐ญ๐ข๐ง๐ , this event focused on multiscale modeling and engineering applications.
During the workshop, our colleague Ubaldo Cella presented theย ๐‘ณ๐‘ฌ๐‘บ๐‘บ-๐‘ฐ๐‘ช๐‘ฌ: ๐‘ด๐’–๐’๐’•๐’Š๐’”๐’„๐’‚๐’๐’† ๐‘ณ๐‘ฌ๐‘บ ๐‘บ๐’Š๐’Ž๐’–๐’๐’‚๐’•๐’Š๐’๐’ ๐’‡๐’๐’“ ๐’Š๐’-๐’‡๐’๐’Š๐’ˆ๐’‰๐’• ๐‘ฐ๐‘ช๐‘ฌ ๐’‚๐’„๐’„๐’“๐’†๐’•๐’Š๐’๐’ ๐’”๐’Š๐’Ž๐’–๐’๐’‚๐’•๐’Š๐’๐’ ๐’‘๐’“๐’๐’‹๐’†๐’„๐’•, which was selected through cascade funding calls. This initiative aims to advance numerical simulation methodologies for in-flight ice formation on aircraft surfaces, contributing to enhanced safety through improved predictions of aerodynamic performance degradation caused by icing.

๐Š๐ž๐ฒ ๐€๐ฌ๐ฉ๐ž๐œ๐ญ๐ฌ ๐จ๐Ÿ ๐‹๐„๐’๐’-๐ˆ๐‚๐„
โ„๏ธ Understanding Ice Accretion:ย The formation of ice on aircraft surfaces occurs when supercooled water droplets impact the airframe, creating irregular ice layers thatย negatively affect aerodynamic performance and flight safety.

โ„๏ธ Multidisciplinary Approach:ย Ice accretion is a complexย multiphysicsย andย multidisciplinaryย problem that requires:
โœ”๏ธŽ Aerodynamic flow analysis around complex geometries.
โœ”๏ธŽ Study of droplet trajectories and their impact on the aircraft surface.
โœ”๏ธŽ Thermodynamic modeling of the water layer, phase transitions, and heat transfer between ice and the aircraft structure.
โœ”๏ธŽ High-Fidelity Simulations: The project leverages high-resolution Large Eddy Simulation (LES) methods to improve the understanding and predictive capabilities of icing effects.
โœ”๏ธŽ Computational Challenges: LESS-ICE seeks to automate and enhance computational grid generation, minimizing manual intervention and improving simulation efficiency.

๐‚๐จ๐ง๐ฌ๐จ๐ซ๐ญ๐ข๐ฎ๐ฆ ๐๐š๐ซ๐ญ๐ง๐ž๐ซ๐ฌ
โœ”๏ธŽ Centro Italiano Ricerche Aerospaziali โ€“ CIRA S.c.p.A.
โœ”๏ธŽ HIT09 s.r.l.
โœ”๏ธŽ RBF Morph s.r.l.

You can read the presentation here.