Experimental Study and Analysis of Ice Crystal Accretion on a Gas Turbine Compressor Stator Vane

Bucknell, Alexander; McGilvray, Matthew; Gillespie, David R. H.; Parker, Liam; Forsyth, Peter; Ifti, Hassan Saad; Jones, Geoffrey; Collier, Benjamin; Reed, Alasdair

doi:10.4271/2019-01-1927

Cited by 9 publications

(9 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Previous work [6][7][8][9] used this type of view to measure the thickness of the ice, while making the assumption that there was a uniform ice thickness along the viewing axis of the camera. This dataset was used to pseudo-validate the DIP data.…”

Section: Resultsmentioning

confidence: 99%

“…The ice thickness was measured on on an un-ducted cantilevered stator blade as shown in Fig. 5 and disused in more detail in [9]. The stator is representative of that found in an intermediate pressure compressor, but was heavily simplified to be vertically stacked.…”

Section: Test Piecementioning

confidence: 99%

“…The stator is representative of that found in an intermediate pressure compressor, but was heavily simplified to be vertically stacked. Previous research by Bucknell et al [9] studied this test piece, and measured the ice thickness by using backlit shadography viewing down the axis of the blade span. This method relies on the assumption that the accretion is uniform along the span.…”

Section: Test Piecementioning

confidence: 99%

“…In latter years, more sophisticated imaging techniques have evolved to extract quantitative data. The most commonly used technique utilises back-lit shadography of a two dimensional test article and edge detection algorithms to determine the spatial position of the accretion edge and hence its overall shape [6][7][8][9]. This method has provided essential data for the numerical models produced to date, however, the method assumes that the accretion profile is uniform along the span of the test article, which would only be true for an infinitely long or axisymmetric test piece.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Digital Image Projection for 3D Ice Crystal Icing Accretion Measurements

Connolly

McGilvray

Gillespie

et al. 2020

Aiaa Aviation 2020 Forum

Self Cite

View full text Add to dashboard Cite

Section: Resultsmentioning

confidence: 99%

Section: Test Piecementioning

confidence: 99%

Section: Test Piecementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Digital Image Projection for 3D Ice Crystal Icing Accretion Measurements

Connolly

McGilvray

Gillespie

et al. 2020

Aiaa Aviation 2020 Forum

Self Cite

View full text Add to dashboard Cite

“…The stator was also tested at angles of attack between -20° and 20°. Full details of the test article, test conditions and results not reproduced here may be found in [48].…”

Section: Validation Test Casementioning

confidence: 99%

ICICLE: A Model for Glaciated & amp; Mixed Phase Icing for Application to Aircraft Engines

Bucknell¹,

McGilvray²,

Gillespie³

et al. 2019

SAE Technical Paper Series

Self Cite

View full text Add to dashboard Cite

High altitude ice crystals can pose a threat to aircraft engine compression and combustion systems. Cases of engine damage, surge and rollback have been recorded in recent years, believed due to ice crystals partially melting and accreting on static surfaces (stators, endwalls and ducting). The increased awareness and understanding of this phenomenon has resulted in the extension of icing certification requirements to include glaciated and mixed phase conditions. Developing semi-empirical models is a cost effective way of enabling certification, and providing simple design rules for next generation engines. A comprehensive ice crystal icing model is presented in this paper, the Ice Crystal Icing ComputationaL Environment (ICICLE). It is modular in design, comprising a baseline code consisting of an axisymmetric or 2D planar flowfield solution, Lagrangian particle tracking, air-particle heat transfer and phase change, and surface interactions (bouncing, fragmentation, sticking). In addition, an efficient particle tracking method has been developed into the code, which employs the representative particle size distribution at each injection location and a deterministic particle sticking method by using an in-situ particle based scaling factor without aborting the particle trajectories. Various time integration algorithms, including implicit and explicit Euler and Runge-Kutta methods, are discussed and the effect on an acceptable timestep investigated. The model then improves on those available in the literature in three ways: firstly, an adaptation of the Extended Messinger Model (EMM) to mixed phase conditions is incorporated, improving the fidelity of the ice accretion prediction compared with the classical Messinger model. Secondly, an experimentally-derived model for sticking efficiency improves the accuracy of the continuity equation in the EMM; thirdly a simple model for integrating two-way coupling of mass and energy is proposed.

show abstract