Turbine Blade Surface Deterioration by Erosion

Hamed, A.; Tabakoff, W.; Rivir, Richard B.; Das, Kaushik; Arora, Puneet

doi:10.1115/1.1860376

Cited by 150 publications

(54 citation statements)

References 20 publications

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“…Surface roughness characteristics were measured after erosion tests in some investigations. 27,29 Surface roughness was found to correlate closely with the erosion rate in terms of variation with the impact angle, velocity, and particle size. The eroded surface roughness did not change beyond a certain limit even with additional mass removal by erosion.…”

Section: Coating and Blade Materials Erosion Studies And Facilitiesmentioning

confidence: 93%

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Erosion and Deposition in Turbomachinery

Hamed

Tabakoff

Wenglarz³

2006

Journal of Propulsion and Power

285

135

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This paper presents a review of erosion and deposition research in turbomachines and the associated degradation in engine performance caused by particulate matter ingestion. Parameters affecting surface material losses as a result of erosion and development of experimental and analytical approaches to predict flowpath erosion and deposition are discussed. Tests results that quantify the effects of temperature, impact particle composition, impact velocity and angle, and surface material composition are reviewed along with particle restitution data (ratios of rebound to impact velocities and angles). Development and application of models using these data to calculate surface erosion in turbomachinery are described. These models predict particle trajectories in turbomachinery passages to determine impact rates, impact velocities, impact angles and uses the experimentally-obtained erosion data to calculate material losses. Literature on the effects of erosion on turbomachine performance and life is surveyed. Mechanisms of particle delivery and attachment upon arrival at turbomachine flowpath surfaces are also discussed along with experiential models that have been developed to predict surface deposit buildup. Delivery to turbine surfaces can occur as a result of inertial flight, as for erosion, but also through transport mechanisms involving turbulence, Brownian diffusion, and thermophoresis. The particle size range, where each of these mechanisms is dominant for delivery to surfaces, is described. The history and experience of developing models that use these mechanisms to quantify particle delivery rates to turbine flow path surfaces is discussed, along with the use of sticking fraction data to determine the amount of material retained on the surfaces after delivery and the resulting deposit buildup rates. Finally, factors that control whether extreme rates of deposition can occur in turbomachinery are described. . His early experience involved dynamics and control for gyroscopic systems and manned space stations. Later experience concerned developing and applying analytical and experimental methods to evaluate deposition, erosion, and corrosion (DEC) in advanced energy systems (e.g., gas turbines and fuel cells) operating with alternate fuels. Currently, Dr. Wenglarz is Manager of Research at SCIES for a DOE-sponsored program supporting university gas turbine research nationwide. Dr. Wenglarz has over 80 publications and presentations including invited presentations at the Von Karman

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Section: Coating and Blade Materials Erosion Studies And Facilitiesmentioning

confidence: 93%

“…The eroded surface roughness did not change beyond a certain limit even with additional mass removal by erosion. 29 Richardson et al 17 also reported that compression system airfoil surface roughness did not change beyond 2000 cycles. Figure 9 (Ref.…”

Section: Coating and Blade Materials Erosion Studies And Facilitiesmentioning

confidence: 96%

Erosion and Deposition in Turbomachinery

Hamed

Tabakoff

Wenglarz³

2006

Journal of Propulsion and Power

285

135

View full text Add to dashboard Cite

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“…Hence, he came up with a semi-empirical erosion model, the Finnie model, to predict the erosion numerically. Since then more complex erosion models have been presented, including the Tabakoff model [6], the Tulsa model [7], et al So far one of the most comprehensive models was established by Oka et al [8,9], in which specific conditions involving impact direction, impact velocity, size of particles, and properties of particles and target material were considered. These erosion models have provided the foundation of numerical investigation and wear prediction in engineering.…”

Section: Introductionmentioning

confidence: 99%

Numerical Investigation of Erosion Wear in the Hydraulic Amplifier of the Deflector Jet Servo Valve

Yan

Cai³

et al. 2020

Applied Sciences

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Although possessing a remarkable anti-contamination capacity, the deflector jet valve is still confronted with erosion wear brought by solid particles in hydraulic oil. To describe the erosion wear mechanism in the hydraulic amplifier of servo valves, a RANS-based CFD simulation is conducted to obtain its internal wear distribution following the Oka erosion model, which shows the erosion wear in servo valves can be divided into four levels and the major wear happens on the shunt wedge, characterized by a regular and fluctuant distribution. Further, there exist multiple relative maximums of erosion rates, whose locations deviate from the jet center. On this basis, the correlation between the contamination level of hydraulic oil and the degree of erosion wear is established. Moreover, according to the working mechanism of the hydraulic amplifier, a new failure criterion of the deflector jet valve is proposed to carry out valve lifespan analyses. Then, a lifespan prediction formula is obtained, and calculations show that hydraulic oil must have a contamination level superior to NAS 5 if a lifespan of over 20,000 h is expected.

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“…Tabakoff and coworkers [50][51][52] were among the earliest researchers working on numerical prediction of erosion in turbomachinery. Their methods and experiments served as a foundation for other studies in the field.…”

Section: Introductionmentioning

confidence: 99%

Computational analysis of particle-laden-airflow erosion and experimental verification

et al. 2020

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Computational analysis of particle-laden-airflow erosion can help engineers have a better understanding of the erosion process, maintenance and protection of turbomachinery components. We present an integrated method for this class of computational analysis. The main components of the method are the residual-based Variational Multiscale (VMS) method, a finite element particle-cloud tracking (PCT) method with ellipsoidal clouds, an erosion model based on two time scales, and the Solid-Extension Mesh Moving Technique (SEMMT). The turbulent-flow nature of the analysis is addressed with the VMS, the particle-cloud trajectories are calculated based on the time-averaged computed flow field and closure models defined for the turbulent dispersion of particles, and one-way dependence is assumed between the flow and particle dynamics. Because the target-geometry update due to the erosion has a very long time scale compared to the fluid-particle dynamics, the update takes place in a sequence of "evolution steps" representing the impact of the erosion. A scale-up factor, calculated based on the update threshold criterion, relates the erosions and particle counts in the evolution steps to those in the PCT computation. As the target geometry evolves, the mesh is updated with the SEMMT. We present a computation designed to match the sand-erosion experiment we conducted with an aluminum-alloy target. We show that, despite the problem complexities and model assumptions involved, we have a reasonably good agreement between the computed and experimental data.Tayfun E. Tezduyar tezduyar@tafsm.org cost. Reliable computational analysis can help the designers find new blade protection strategies. It can also help them to plan effective maintenance schedules. Earlier, closely-related studies [1,2] focused on the prediction of rain erosion patterns for a full-span wind-turbine blade. In [3,4], the focus was on the effect of the erosion on the aerodynamic performance of the blade, highlighting the correlation between the erosion patterns and geometry evolution.

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Turbine Blade Surface Deterioration by Erosion

Cited by 150 publications

References 20 publications

Erosion and Deposition in Turbomachinery

Erosion and Deposition in Turbomachinery

Numerical Investigation of Erosion Wear in the Hydraulic Amplifier of the Deflector Jet Servo Valve

Computational analysis of particle-laden-airflow erosion and experimental verification

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