Computational investigation of erosion wear in the eco-friendly disposal of the fly ash through 90° horizontal bend of different radius ratios
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Yatish Kumar Baghel
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Vivek Kumar Patel
Abstract
In the present study, slurry erosion wear was evaluated in 90° horizontal pipe bends of various radius ratios (R/r = 2–10) through a commercial CFD code ANSYS FLUENT. For the suspension of fly ash-water, Euler–Lagrange and two way-coupling methods were employed to predict the slurry erosion wear. The flow through the horizontal bend pipe was simulated using a Standard k–ε turbulence modelling. The computational results were validated with the experimental result of the available literature. Fly ash was taken as the dispersed phase of the solid-liquid combination however water was used as the liquid phase. The fly ash particles size was taken as 150 µm. Various affecting factors, such as velocity (4–10 m/s) and solid concentration (2.5 and 7.5% by volume) of the fly ash, were also studied in this investigation. The erosion rate was maximum in the case of R/r = 4 and minimum for R/r = 10 at all velocities and concentrations. It was also found that the erosion rate increases with the increase in solid concentration and velocity.
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Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
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Research funding: None declared.
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Conflict of interest statement: The authors declare no conflicts of interest regarding this article.
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© 2022 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- Research Articles
- Two-stage adsorber optimization of NaOH-prewashed oil palm empty fruit bunch activated carbon for methylene blue removal
- Response surface methodology (RSM) and artificial neural network (ANN) approach to optimize the photocatalytic conversion of rice straw hydrolysis residue (RSHR) into vanillin and 4-hydroxybenzaldehyde
- Computational investigation of erosion wear in the eco-friendly disposal of the fly ash through 90° horizontal bend of different radius ratios
- Optimal sequencing of conventional distillation column train for multicomponent separation system by evolutionary algorithm
- Enhanced design of PID controller and noise filter for second order stable and unstable processes with time delay
- Removal of glycerol from biodiesel using multi-stage microfiltration membrane system: industrial scale process simulation
- Multi-objective optimization of a fluid catalytic cracking unit using response surface methodology
- Effect of pipe rotation on heat transfer to laminar non-Newtonian nanofluid flowing through a pipe: a CFD analysis
- Statistical modeling and optimization of the bleachability of regenerated spent bleaching earth using response surface methodology and artificial neural networks with genetic algorithm
- Short Communication
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Artikel in diesem Heft
- Frontmatter
- Research Articles
- Two-stage adsorber optimization of NaOH-prewashed oil palm empty fruit bunch activated carbon for methylene blue removal
- Response surface methodology (RSM) and artificial neural network (ANN) approach to optimize the photocatalytic conversion of rice straw hydrolysis residue (RSHR) into vanillin and 4-hydroxybenzaldehyde
- Computational investigation of erosion wear in the eco-friendly disposal of the fly ash through 90° horizontal bend of different radius ratios
- Optimal sequencing of conventional distillation column train for multicomponent separation system by evolutionary algorithm
- Enhanced design of PID controller and noise filter for second order stable and unstable processes with time delay
- Removal of glycerol from biodiesel using multi-stage microfiltration membrane system: industrial scale process simulation
- Multi-objective optimization of a fluid catalytic cracking unit using response surface methodology
- Effect of pipe rotation on heat transfer to laminar non-Newtonian nanofluid flowing through a pipe: a CFD analysis
- Statistical modeling and optimization of the bleachability of regenerated spent bleaching earth using response surface methodology and artificial neural networks with genetic algorithm
- Short Communication
- A comparative study: conventional and modified serpentine micromixers
