Numerical Modelling of Primary and Secondary Effects of SLD Impingement

Fouladi, Habibollah; Baruzzi, Guido S.; Nilamdeen, Shezad; Ozcer, Isik

doi:10.4271/2019-01-2002

Cited by 3 publications

(2 citation statements)

References 15 publications

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“…Re-impingement of secondary droplets has been shown to be important by Rutkowski et al [11], with splashed droplets possibly re-impinging far from their original impact location. Papadakis et al [12] showed that considering splash-back does indeed improve collection efficiency results, same as Fouladi et al [13] who also highlighted the increased importance in Appendix O conditions. Bilodeau and Habashi [8] studied a fully Eulerian re-injection procedure, finding it to be useful in increasing the agreement with experimental data in SLD conditions, but with an extreme computational cost increase (ranging from 500% up to 900%) even when limiting the computational grid.…”

Section: Introductionmentioning

confidence: 70%

Poly-dispersed Eulerian-Lagrangian particle tracking for in-flight icing applications

Sirianni

Bellosta

et al. 2022

AIAA AVIATION 2022 Forum

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The objective of this work is to present a three-dimensional Euler-Euler finite volume poly-dispersed (multi-bin) droplet tracker for in-flight icing purposes, with an additional Lagrangian re-injection step. This step has been added to increase the accuracy of the collection efficiency prediction in multi-element 2D and 3D cases where splashed and rebounding droplets re-impinge on aft surfaces, particularly in SLD conditions. Results show local increases in accuracy of up to 4% in a 3D single element case and up to 100% on flaps in 2D multi-element airfoil cases. The Lagrangian re-impingement correction improves significantly when using multi-bin, while also being more efficient than the standard approaches. Lastly, a simple bin to bin initialization strategy allows for up to 65% less computational time in the Eulerian droplet tracking step when running multi-bin simulations.

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Section: Introductionmentioning

confidence: 70%

Poly-dispersed Eulerian-Lagrangian particle tracking for in-flight icing applications

Sirianni

Bellosta

et al. 2022

AIAA AVIATION 2022 Forum

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“…At present, ice detection facing SLD environment is a difficult point in engineering practice in the world, including the capabilities and limitations of detection equipment and engineering tools, the impact of special water droplet breakup characteristics on icing, etc. [4][5][6][7][8][9][10]. Existing studies have proposed a variety of identification technologies for SLD environment [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Research on Icing Classification Method Based on Wind Tunnel Test with Double Impact Surface Probe

Liu,

Huang,

et al. 2024

J. Phys.: Conf. Ser.

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Facing supercooled large water droplet environment, an effective ice detection method is a prerequisite to implement the avoidance strategy and get out of the icing environment of SLD as soon as possible. Fiber-optic icing sensors were arranged on the double impact surface probe. The probe was used for icing wind tunnel test. Different machine learning algorithms were used to establish the classification method of icing conditions based on multi-sensor ice thickness information fusion. An appropriate algorithm was selected for the classification method to detect icing conditions. The icing classification method based on SVM could effectively distinguish the conventional water droplet icing condition from the SLD icing condition, and it has significant potential on aviation industry application.

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Icing Simulation Results Using Lagrangian Particle Tracking in Ansys Fluent Icing

Moula¹,

Ozcer²

2023

SAE Technical Paper Series

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<div class="section abstract"><div class="htmlview paragraph">This paper introduces the Lagrangian particle tracking technology readily available in Ansys Fluent in the in-flight icing simulation workflow, which normally uses the Eulerian approach for droplet flows. The Lagrangian solver is incorporated in the Fluent Icing workspace which is to become the next-gen in-flight icing simulation tool provided by Ansys. Lagrangian tracking will eventually be used for SLD and ice crystal rebound and re-impingement calculations in the Ansys workflow. Here we introduce some preliminary results with the current state of its implementation as of Fluent Icing release 2023R2. Example cases include several selections from the 1<sup>st</sup> Ice prediction workshop with experimental comparisons as well as results obtained earlier with the Eulerian droplet solution strategy. Collection efficiency comparisons on clean geometries show good agreement between Eulerian and Lagrangian methods when the particle seeds are in the millions range. Shadow zones are resolved with more clarity when Lagrangian tracking is used. SLD and ice crystal rebound simulations significantly benefit from the Lagrangian method, as all wall interaction instances per track can be resolved in a single pass. Turbulent dispersion effects that are built-in to Fluent’s Lagrangian tracking are studied. The impact of turbulent boundary layers on small droplets is investigated. A change in collection efficiency due to particle velocities redistribution when they go across a turbulent structure is observed on a simple test case but the impact of turbulent dispersion on the validation cases collection efficiency is negligible. Multi-shot icing simulations on swept wings produce more detailed ice shapes for the same number of shots when Lagrangian method is swapped in for the Eulerian solver.</div></div>

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Numerical Modelling of Primary and Secondary Effects of SLD Impingement

Cited by 3 publications

References 15 publications

Poly-dispersed Eulerian-Lagrangian particle tracking for in-flight icing applications

Poly-dispersed Eulerian-Lagrangian particle tracking for in-flight icing applications

Research on Icing Classification Method Based on Wind Tunnel Test with Double Impact Surface Probe

Icing Simulation Results Using Lagrangian Particle Tracking in Ansys Fluent Icing

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