Numerical Modeling and Parametric Study of the Melting Behavior of Ice Crystal Particles

Yang, Xin; McGilvray, Matthew; Gillespie, David R. H.

doi:10.2514/1.j060351

Cited by 7 publications

(5 citation statements)

References 24 publications

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“…(3) A Lagrangian particle tracking solver is coded in ICICLE to calculate particle trajectories by solving the non-spherical particle translational and rotational motion equations [11]. The melting behaviour of ice crystals, which contains the information of particle melt ratio, is calculated by its particle-air heat & mass transfer model [32]. The outcome of particle impingement on walls is determined by its particle wall interaction model, where particle bounce and shatter behaviours are calculated using the method proposed by Villedieu et al [5] and the rebound angular velocity is predicted using the method by Tsuji et al [33].…”

Section: B Ici Modellingmentioning

confidence: 99%

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Sticking–Erosion Model for Ice Crystal Icing Using Particle Size Distribution

Yang,

McGilvray,

Gillespie

2023

AIAA Journal

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Ice crystal icing has been identified as a threat to aviation safety, with hundred engine power loss events having been experienced since the 1990s. This has led to new type certification requirements for the industry to demonstrate safe operation in these environmental conditions. The sticking and erosion behaviors of ice crystals are critical factors in ice crystal icing. However, many existing sticking–erosion models are developed based on ice crystals using the mean particle diameter for experimental tests that have a broad distribution of size. This leads to biasing when a different distribution with the same mean particle diameter is considered. This paper develops a new sticking–erosion model that accounts for the particle size distribution seen in experimental data typical of glaciated icing conditions. The results of model are compared to experimental accretion data over a range of melt ratio, Mach number, test article geometry, and particle size distribution. The predicted accretion profiles agree reasonably with experiments. The mean difference of the ice tip thickness between predictions and experiments is approximately 2.8 mm, compared to the mean ice tip thickness of 12.0 mm. The plateau effect of melt ratio on accretion is adequately predicted. More severe accretion of the small- to medium-sized ice crystals is observed. The predicted net accretion efficiency of large particles ([Formula: see text]) is small and is shown to be negative due to the effect of erosion. This concurs with the experimental observation that the presence of large ice particles is critical to reducing the ice accretion rate.

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Section: B Ici Modellingmentioning

confidence: 99%

“…The new particle erosion model is developed in the ice growth solver for calculating net ice accretion rate. More details of the particle tracking solver and ice growth solver can be found in [10,11,32,34].…”

Section: B Ici Modellingmentioning

confidence: 99%

Sticking–Erosion Model for Ice Crystal Icing Using Particle Size Distribution

Yang,

McGilvray,

Gillespie

2023

AIAA Journal

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“…Therefore, ice particle temperature is assumed not to vary spatially within the particle, but does vary with time. The non-spherical shape of ice crystals is assumed to be prolate in this study (Yang et al, 2021). The phase change process is commonly assumed to consist of three stages according to the state of ice crystals, including (i) fully solid ice crystals, (ii) partially melted ice crystals, and (iii) fully melted ice crystals.…”

Section: Non-spherical Particle Phase Change Modelmentioning

confidence: 99%

Modelling the particle trajectory and melting behaviour of non-spherical ice crystal particles

Yang

McGilvray

Gillespie

2022

International Journal of Multiphase Flow

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“…Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/ by/4.0/, which permits unrestricted use, provided the original author and source are credited. and sometimes dangerous ways, with similar difficulties also arising in iced-up engines [3][4][5][6][7][8][9][10][11]. In environmental terms, ice growth or decay is of deep interest [12].…”

Section: Introductionmentioning

confidence: 99%

“…Other studies of interest include those in [3][4][5] who highlight ice growth occurring when a super-cooled liquid droplet impacts on a solid substrate (wall) with special reference to the aerodynamic application. Related works in the area are in [6][7][8] on ice crystals. Interfacial evolutions in the presence of relatively fast fluid flow with viscous-inviscid interplay are also a feature of dynamic fluid-body interactions addressed in [26,27] for example, sand-flow interactions discussed by Weng et al [28] and surface erosion studied in an interesting paper by [29].…”

Section: Introductionmentioning

confidence: 99%

Melting of wall-mounted ice in shear flow

Jolley,

Dang,

Smith

2024

Proc. R. Soc. A.

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The melting of wall-mounted ice deep inside a water layer flow is investigated, the ice being initially in the form of a slender hump or step-up and the oncoming water upstream near the wall being warmer than the ice. The wall is at the same temperature as the oncoming water except beneath the ice where the wall temperature is the same as that of the ice. The unsteady interaction of the flow, heat transfer and phase change is studied analytically and computationally for a basic pure-ice model in two spatial dimensions at high flow rates. In-flow predictions of ice-shape evolution are presented along with the complete melting times and the vanishing points where melting is completed on the solid surface. This is for a range of initial conditions and background heat transfers. The unsteady movement of the contact points at the edges of the ice formation is determined explicitly for the cases of humps and steps, together with the ultimate behaviours of both the ice humps and the ice steps. Effects of reducing the sub-ice wall temperature and accretion leading to flow separation are also discussed.

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Numerical Modeling and Parametric Study of the Melting Behavior of Ice Crystal Particles

Cited by 7 publications

References 24 publications

Sticking–Erosion Model for Ice Crystal Icing Using Particle Size Distribution

Sticking–Erosion Model for Ice Crystal Icing Using Particle Size Distribution

Modelling the particle trajectory and melting behaviour of non-spherical ice crystal particles

Melting of wall-mounted ice in shear flow

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