Collection efficiency and ice accretion calculations for a sphere, a swept MS(1)-317 wing, a swept NACA-0012 wing tip, an axisymmetric inlet, and a Boeing 737-300 inlet

Bidwell, Colin S.; Mohler, Stanley R.

doi:10.2514/6.1995-755

Cited by 42 publications

(27 citation statements)

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“…The first test is a mesh convergence study that determines that the numerical scheme is consistent and accurate with respect to the original model as defined by Eqs. (2) and (3). For this test we use the method of manufactured solutions (MMS) verification technique.…”

Section: Test Resultsmentioning

confidence: 99%

“…In order to avoid the influence of the far field boundary on the simulation, the radius of the outer edge of the computational domain is set to 40 times of the sphere radius. (Bidwell and Mohler, 1995) is depicted in Fig. 3(c) where S axis is the arc length.…”

Section: Spherementioning

confidence: 99%

“…Compared with results from MVD single particle size, the impingement limit obtained from particle sizes with Langmuir-D distribution is larger while the peak of the collection efficiency is smaller. Lagrangian simulation result with Langmuir-D particle size distribution by Bidwell and Mohler (1995) is also included in the plot for comparison. Lagrangian method also under-predicts the peak of the collection efficiency, but provides similar impingement limit compared with experimental data.…”

Section: Spherementioning

confidence: 99%

“…3(c) where S axis is the arc length. The droplet sizes are distributed based on the Langmuir-D distribution used by Bidwell and Mohler (1995), which is shown in Table 2. The composite collection efficiency for polydisperse droplets is computed as:…”

Section: Spherementioning

confidence: 99%

“…There have been many experimental and numerical studies of in-flight icing problems. Experimental results serve as a guideline for new designs, as well as ways to validate analytical models and numerical simulation results (Bidwell and Mohler, 1995). At present, much of the numerical work is performed using the LEWICE (Wright, 1999) ice accretion prediction code in which the Lagrangian trajectory approach is applied to obtain droplet impingement limits and collection efficiency.…”

Section: Introductionmentioning

confidence: 99%

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Robust and Accurate Eulerian Multiphase Simulations of Icing Collection Efficiency Using Singularity Diffusion Model

Tong¹,

Luke²

2010

Engineering Applications of Computational Fluid Mechanics

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ABSTRACT:We develop a robust and accurate three dimensional Eulerian method to compute droplet impingement on an aircraft body, wings, and engines. One of the principal challenges in developing a robust Eulerian method is the existence of singularities in some analytic solutions. We have found that, particularly for higher order methods, that the non-linearity of the equations facilitates the creation of spurious singularities. These result in an unbounded growth of particle density in localized regions. We propose an automatic, physics based adaptive numerical diffusion model whereby the existence of singularities is detected and used to derive a numerical diffusion stabilization term. Presence of the numerical diffusion appears to significantly improve the stability of higher order simulations. The model of droplet collection efficiency is implemented in CHEM solver in which a traditional finite volume scheme is applied to discretize both droplet and gas flows. The governing equations for droplets are presented, along with the analysis and design of the singularity diffusion model. Test results on three dimensional bodies are presented in comparison with NASA experimental impingement results. The numerical diffusion model is shown to be effective and simple.

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Section: Test Resultsmentioning

confidence: 99%

Section: Spherementioning

confidence: 99%

Section: Spherementioning

confidence: 99%

Section: Spherementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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