Numerical investigation of particle deposition in film-cooled blade leading edge

Wang, Jin; Tian, Ke; Zhu, Hengxuan; Zeng, Min; Sundén, Bengt

doi:10.1080/10407782.2020.1713692

Cited by 11 publications

(4 citation statements)

References 27 publications

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“…The convergence criterion is that the residual of each governing equation is less than 1.0 × 10 −4 except that the energy equation is 1.0 × 10 −6 . It is assumed that the interaction or impact between particles and the influence of particle phase on fluid phase are ignored, which allows for an adoption of a one-way coupling for the particle phase [37]. A stochastic tracking model associated with discrete random walk is used to predict the turbulent dispersion of particles in the continuous phase, and the particles are monitored till they exit the computational domain.…”

Section: Methodsmentioning

confidence: 99%

Numerical Study on Particulate Fouling Characteristics of Flue with a Particulate Fouling Model Considering Deposition and Removal Mechanisms

Liu

Gong

et al. 2022

Energies

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Due to a large amount of particulate matter in industrial flue gas, the formation of particulate deposits on the flue wall will increase the instability of equipment operation, which needs to be solved urgently. In this paper, a numerical investigation on the characteristics of particulate deposition and removal in the furnace flue was carried out for waste heat and energy recovery. This research adopted a comprehensive fouling model combined with the discrete phase model (DPM) which was performed by the CFD framework and extended by user-defined functions (UDFs). Firstly, the particulate deposition and removal algorithms were proposed to develop the judgment criterion of particle fouling based on the Grant and Tabakoff particle–wall rebound model and the Johnson–Kendall–Roberts (JKR) theory. This model not only considered the particles transport, sticking, rebound, and removal behaviors, but also analyzed the deposition occurring through the multiple impactions of particles with the flue wall. Then, the influence of furnace gas velocity, particle concentration, and inflection angle α of the tee section on the particulate fouling were predicted. The results show that the furnace gas velocity, particle concentration, and flue structure have significant effects on particle fouling and distribution, and the particle fouling mainly occurs in the blind elbow section and the tee sections of the flue. In addition, the fouling mass of particles decreases with an increasing furnace gas velocity and the decrease in particle concentration. Lastly, the fouling mass of particles decreases with the increase in the inflection angle α of the tee section, and the location of particle fouling gradually transfers from the blind elbow section to the tee section.

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Section: Methodsmentioning

confidence: 99%

Numerical Study on Particulate Fouling Characteristics of Flue with a Particulate Fouling Model Considering Deposition and Removal Mechanisms

Liu

Gong

et al. 2022

Energies

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“…The volume of the particle is less as compared to the air volume so the effect of particles on the turbulence of airflow and collusion between particles is neglected. 21,32 The particles to gas density ratios are very large therefore the force of the pressure gradient and virtual mass cannot be considered. The rotation and collision of the particles are ignored.…”

Section: Particle Motion Discrete Phase Modelingmentioning

confidence: 99%

“…17,18 The particle deposition rate was numerically investigated to examine the effect of different types of roughness elements and the results showed the significance of roughness elements for the particles deposition and deposition velocity. [19][20][21] The deposition rate of particles strongly depends on Reynolds number, shape of roughness element, and size of the duct. [22][23][24] Further to this, flow characteristics and turbulence intensity also affect the deposition process.…”

Section: Introductionmentioning

confidence: 99%

Investigation of particles deposition in a square duct using optimized roughness elements for a sustainable environment

Rizwan

Farooq

Riaz

et al. 2021

Advances in Mechanical Engineering

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A sustainable environment is one of the major challenges in developing countries especially in populated regions due to the industrialization and expansion of urban areas. The industries emit particulate matter into the atmosphere that is harmful to human health. There is a need for an efficient particle separation mechanism to improve indoor air quality. This paper presents a numerical investigation of particles deposition in a square duct with variable roughness elements. The working fluid was taken as a mixture of air and inert particles. The Reynolds Stress Model (RSM) and Discrete Particle-phase Model (DPM) were used to simulate the particle-laden flow to analyze the deposition and velocity of the particles in the duct. The diameter of the particles is taken as 5 µm. The ratio of roughness height to the diameter ( r/ D) ranged from 0.024 and 0.101 and the spacing to the diameter ratio ( s/ D) varied between 9.8 and 39.23. It was found that the roughness height has a significant effect on the fluid flow as compared to the spacing between the elements. As a result, more uniform vortices are developed across the elements increasing fluid velocity from 10 to 14 m/s, while the deposition and velocity of the particles were increased by 14% and 8%, respectively. Accordingly, the particles deposition technique helps provide clean indoor air for better environmental sustainability.

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“…A computational analysis was performed by Bowen et al 13 to determine if particle impact events on the external surface of gas turbine engine blades can be faithfully replicated in an experimental rotor cascade, they found that the lack of a vane in the cascade causes drastically different particle inlet vectors over the rotor than those are seen in the engine and the particle size affects its impacting location. Wang et al 14 numerically studied the particle deposition on a turbine blade with diameters of 1–50 μm, and a parameter named invasion efficiency was proposed to analyze the invasion of particles into the film hole. It was found that smaller particles result in lower invasion efficiency, and larger particles are more likely to invade into the film-cooling hole especially at a low blowing ratio.…”

Section: Introductionmentioning

confidence: 99%

A Numerical Study of the Effect of Particle Size on Particle Deposition on Turbine Vanes and Blades

Liu

Diao

Zhang

2021

Advances in Mechanical Engineering

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Particle deposition could decrease the aerodynamic performance and cooling efficiency of turbine vanes and blades. The particle motion in the flow and its temperature are two important factors affecting its deposition. The size of the particle influences both its motion and temperature. In this study, the motion of particles with the sizes from 1 to 20 μm in the first stage of a turbine are firstly numerically simulated with the steady method, then the particle deposition on the vanes and blades are numerically simulated with the unsteady method based on the critical viscosity model. It is discovered that the particle deposition on vanes mainly formed near the leading and trailing edge on the pressure surface, and the deposition area expands slowly to the whole pressure surface with the particle size increasing. For the particle deposition on blades, the deposition area moves from the entire pressure surface toward the tip with the particle size increasing due to the effect of rotation. For vanes, the particle capture efficiency increases with the particle size increasing since Stokes number and temperature of the particle both increase with its size. For blades, the particle capture efficiency increases firstly and then decreases with the particle size increasing.

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Numerical investigation of particle deposition in film-cooled blade leading edge

Cited by 11 publications

References 27 publications

Numerical Study on Particulate Fouling Characteristics of Flue with a Particulate Fouling Model Considering Deposition and Removal Mechanisms

Numerical Study on Particulate Fouling Characteristics of Flue with a Particulate Fouling Model Considering Deposition and Removal Mechanisms

Investigation of particles deposition in a square duct using optimized roughness elements for a sustainable environment

A Numerical Study of the Effect of Particle Size on Particle Deposition on Turbine Vanes and Blades

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