Computational prediction of erosion of air heater elements by fly ash particles

Mbabazi, John G.; Sheer, T. J.

doi:10.1016/j.wear.2006.03.017

Cited by 7 publications

(3 citation statements)

References 28 publications

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“…It is practical to estimate the erosion damages resulting from particle impacts (Zhang, Reuterfors, McLaury, Shirazi, & Rybicki, 2007). Researches on these damage predictions are always focused on the area of engineering environment, particularly in certain working conditions (Mbabazi & Sheer, 2006). However, the research on SPE caused by wind-blown sand is seldom seen (Hao, Xing & Yang, 2010;Liu et al, 2003).…”

Section: Introductionmentioning

confidence: 99%

Numerical prediction on erosion damage caused by wind-blown sand movement

Shi

2014

European Journal of Environmental and Civil Engineering

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This study quantitatively investigated the erosion damage on the metal material caused by wind-blown sand under different environmental conditions (e.g. height and wind velocity) in aeolian processes. Wind-blown sand causes destructive impacts on buildings, abrasion of crops and many other damages in arid regions. Sand transport caused by wind often appears in the desert, open-pit mines and coastal dune fields, which is a special case of two-phase f low of gas and solids. Due to its special dynamic characteristics, the sand-wind system near the bed surface is complex and difficult to be solved by traditional computational fluid dynamics method. However, the steady-state saltation model is effective for describing the wind-blown sand movement. Therefore, this paper combines the solid particles erosion model with the steady-state saltation model to predict the erosion damages caused by blown sand. Correctness of the algorithm has been verified through the comparison of simulated results and experimental data of the sand flow structure. An early conclusion that the kinetic energy is crucial to erosion has been proved in this paper. The results show that the erosion rate varies with different variables, e.g. saltating velocity, saltating height, length, etc. The quantity of erosion shows stratification pattern as well as the mass flux of the sand flow. These results quantitatively show the major features of the erosion caused by wind-blown sand.

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Section: Introductionmentioning

confidence: 99%

Numerical prediction on erosion damage caused by wind-blown sand movement

Shi

2014

European Journal of Environmental and Civil Engineering

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“…The erosion rate of all the ribbed bends were greatly reduced compared with that of the bare bend. Mbabazi et al13 tested the accuracy of an erosion model in predicting the erosion by fly ash of air heater elements by comparing the results obtained by the CFD simulations with the results obtained in experimental investigations. They found that augmentation the turbulence of the gas–particle flow might increase the frequency of particle–wall collisions.…”

Section: Introductionmentioning

confidence: 99%

“…The accuracy of wear prediction depends on three aspects: the accuracy of computing the flow field, the accuracy of tracking the trajectories of particles and the rationality of erosion model. In terms of computing the flow field, the k‐ε turbulence model is a basic and efficient method to calculate the fluid phase turbulent as well as considering particulate erosion problems 6–11, 13. Large eddy method is more accurate than the k‐ε turbulence model for computing the flow field, which can also be applied in wear prediction 12.…”

Section: Introductionmentioning

confidence: 99%

Numerical study of solid particle erosion on the tubes near the side walls in a duct with flow past an aligned tube bank

2009

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Computational fluid dynamic (CFD) tool has been applied to investigate the erosion of duct walls and that of tubers (10 Â 10 aligned tube bank in the duct) near side walls, which is caused by coal ash particle impaction. The flow field is obtained by using direct numerical simulation (DNS) method. The coupling between tubes and flows are made through the immersed boundary technique. Particles are tracked by using Lagrangian approach and further coupled with gas phase. Four coal ash particles are considered 6.2, 20, 80, and 200 lm. In the end, the erosion of the duct walls and that of the tubes near side walls has been well predicted and characterized.

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Numerical investigation of erosion on a staggered tube bank by particle laden flows with immersed boundary method

Jin

Luo

et al. 2014

Applied Thermal Engineering

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Computational prediction of erosion of air heater elements by fly ash particles

Cited by 7 publications

References 28 publications

Numerical prediction on erosion damage caused by wind-blown sand movement

Numerical prediction on erosion damage caused by wind-blown sand movement

Numerical study of solid particle erosion on the tubes near the side walls in a duct with flow past an aligned tube bank

Numerical investigation of erosion on a staggered tube bank by particle laden flows with immersed boundary method

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