Efficient Lagrangian particle tracking algorithms for distributed-memory architectures

Baldan, Giacomo; Bellosta, Tommaso; Guardone, Alberto

doi:10.1016/j.compfluid.2023.105856

Cited by 5 publications

(2 citation statements)

References 41 publications

(47 reference statements)

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“…This assumption leads to the so-called one-way coupled approach; only the airflow field can affect the motion of water droplets. The in-house particle tracking code is based on a Lagrangian framework, and it is used to simulate clouds containing supercooled water droplets [22,23]. The Lagrangian framework allows straightforward modeling of supercooled water droplets' effects, such as splashing, aerodynamic breakup, and deformation, and can deal with secondary particles.…”

Section: B Particle Tracking Modulementioning

confidence: 99%

Ice Shape Convergence in Multi-Step Ice Accretion Simulations over Straight Wings

Donizetti,

Bellosta,

Guardone

2024

AIAA SCITECH 2024 Forum

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Local errors in the geometrical description of the ice front are amplified in multi-step simulations over conformal meshes due to the coupling of aerodynamics, water impingement, ice accretion, and grid deformation. Small perturbations in the initial phase of ice formation possibly result in dramatically different ice shapes which can hinder the stability of the multi-step procedure. This problem is analyzed by investigating the combined effects of space and time discretization on the ice growth over airfoils and three-dimensional wings. We propose an automatic procedure for selecting the time interval for the update of the aerodynamics and particle impingement. A local growth limiter 𝜆 is introduced here to bound the local ice thickness growth to be comparable to the local grid spacing on the surface, resulting in an automatic adaptive time-step to be used in the multi-step simulation. Examples are provided for three-dimensional cases under both rime and glaze conditions over straight wings. These examples highlight the different accretion mechanisms of the two ice regimes and preliminary indicate that ice-shape convergence can be achieved for low values of 𝜆.

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Section: B Particle Tracking Modulementioning

confidence: 99%

Ice Shape Convergence in Multi-Step Ice Accretion Simulations over Straight Wings

Donizetti,

Bellosta,

Guardone

2024

AIAA SCITECH 2024 Forum

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Section: Collection Efficiency Solvermentioning

confidence: 99%

Multi-step ice accretion on complex three-dimensional geometries

Donizetti

2023

Materials Research Proceedings

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Abstract. This work presents the Politecnico di Milano Icing Research Group's contribution to developing new numerical tools and methodologies for simulating long-term in-flight icing over complex three-dimensional geometries. PoliMIce is an in-house ice accretion software that includes state-of-the-art solvers for the dispersed phase to compute the droplets’ impact on the aircraft, and ice accretion models, including the exact local solution of the unsteady Stefan problem. PoliMIce has also been extensively developed for the simulation and robust design optimization of thermal ice protection systems. A crucial aspect that characterizes and makes numerical simulations challenging is the formation, and evolution in time of complex ice geometries, resulting from the ice accretion over the body surface and/or previously formed ice. A multi-step procedure is implemented since the aerodynamic flow field is coupled with ice accretion. The total icing exposure time is subdivided into smaller time steps. At each time step, a three-dimensional body-fitted mesh suitable for the computation of the aerodynamic flow field around the updated geometry is generated automatically. The novel remeshing procedure is based on an implicit domain representation of the ice-air interface through a level-set method and Delaunay triangulation to generate a new conformal body-fitted mesh. In this work, the unique capabilities of the PoliMIce suite are employed to perform automatic multi-step ice accretion simulations over a swept wing in glaze ice conditions. Numerical simulations are hence compared with the available experimental data.

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Ice Shape Convergence in Multistep Ice Accretion Simulations

Donizetti,

Bellosta,

Guardone

2024

Journal of Aircraft

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Local errors in the geometrical description of the ice front are amplified in multistep simulations over conformal meshes due to the coupling of aerodynamics, water impingement, ice accretion, and grid deformation. Small perturbations in the initial phase of ice formation possibly result in dramatically different ice shapes, which can hinder the stability of the multistep procedure. This problem is analyzed by investigating the combined effects of space and time discretization on the ice growth over airfoils and three-dimensional wings. We propose an automatic procedure for selecting the time interval for the update of the aerodynamics and particle impingement. A local growth limiter [Formula: see text] is introduced here to bound the local ice thickness growth to be comparable to the local grid spacing on the surface, resulting in an automatic adaptive time step to be used in the multistep simulation. Examples are provided for three-dimensional cases under both rime and glaze conditions over straight and swept wings. These examples highlight the different accretion mechanisms of the two ice regimes and preliminarily indicate that ice-shape convergence can be achieved for low values of [Formula: see text].

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Efficient Lagrangian particle tracking algorithms for distributed-memory architectures

Cited by 5 publications

References 41 publications

Ice Shape Convergence in Multi-Step Ice Accretion Simulations over Straight Wings

Ice Shape Convergence in Multi-Step Ice Accretion Simulations over Straight Wings

Multi-step ice accretion on complex three-dimensional geometries

Ice Shape Convergence in Multistep Ice Accretion Simulations

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