A combined CFD-experimental study of erosion wear life prediction for non-Newtonian viscous slurries

Chochua, Gocha; Shirazi, Siamack A.

doi:10.1016/j.wear.2018.12.003

Cited by 22 publications

(8 citation statements)

References 24 publications

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“…Further to this numerical study, slurry erosion rate is also predicted by adopting the erosion model previously developed by the Arabnejad et al, [51] Banazadeh-Neishabouri et al, [52] Patnaik et al, [53] and Mansouri et al [54] Model. The models are represented by the Equations (16)(17)(18)(19).…”

Section: Equivalence To Mathematical Erosion Modelmentioning

confidence: 99%

Experimental and numerical investigation on slurry erosion performance of hybrid glass/steel fiber reinforced polymer composites for marine applications

Agarwal

Kumar

Sharma³

et al. 2022

Polymer Composites

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The accelerating growth in the utilization of industrial waste to prepare sustainable material is gaining interest of researchers globally owing to their synergistic effect with enhanced performance and cost-effective approach. This study mainly discussed the development of hybrid polymer composites by partial replacement of steel fiber in place of synthetic glass fiber to investigate the slurry erosion performance in an erosive environment. Initially, fabrication of hybrid glass/steel fiber reinforced polymer composites with different weight percentages (38, 37, 36, 35 wt%) glass fiber and (11, 12, 13, 14 wt%) steel fiber are fabricated through vacuum assisted resin transfer modeling (VARTM) technique. After that, steady-state slurry erosion performance analysis is carried out by varying impact velocity (10-40 m/s), fiber loading (4:1 to 10:4), impingement angle (30 -90 ), and slurry concentration (160-265 g/min) respectively in the slurry erosive environment. The observation indicates that at steady-state conditions the maximum erosion rate lies within the range of 45 -75 by varying the impingement angle whereas the other factors remain constant. The experimental results are validated with different theoretical models as well as a numerical simulation model using computational fluid dynamics approach. Finally, Taguchi's design of experimental analysis (L 16 orthogonal array design) is studied by varying all the four factors at-a-time to get the erosion rate of the hybrid composites. At the end, the simulated results depicted a clear picture of erodent particle trajectories, eroded surface, and streamlines, and all are in good agreement with the experimental results.

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Section: Equivalence To Mathematical Erosion Modelmentioning

confidence: 99%

Experimental and numerical investigation on slurry erosion performance of hybrid glass/steel fiber reinforced polymer composites for marine applications

Agarwal

Kumar

Sharma³

et al. 2022

Polymer Composites

View full text Add to dashboard Cite

show abstract

“…Refined meshes were concentrated in the path of the jet flow and it was ensured that the first cell height from the target wall is equal to twice the particle size. This is recommended to ensure that the particles' mean velocity and interactions between turbulent fluctuations and particles in cells adjoining the wall are adequately captured [24,25]. The grid independency test was done using four different meshes (M1 = 243,448 cells, M2 = 352,894 cells, M3 = 498,332 cells, and M4 = 750,422 cells).…”

Section: Flow Modelmentioning

confidence: 99%

“…The particle drag coefficient C d , which is also a function of Re p and particle sphericity ∅, is an important parameter in modeling particle transport. A plot of variation of C d with respect to Re p and ∅ by Chochua and Shirazi [25], using the Haider and Levenspiel [35] correlation for non-spherical particles (∅ < 1), shows that sphericity affects C d when Re p > 10 and that C d becomes lower as ∅ approaches 1 (spherical particles). Re p is expressed as…”

Section: Particle Trackingmentioning

confidence: 99%

“…The virtual mass force is the force on a particle due to mass of fluid displaced by the particle while the pressure gradient force on a particle is due to fluid pressure distribution around the fluid particle. According to some studies, the virtual force and pressure gradient force are essential forces to be considered in modeling slurry erosion [25]. These forces are important when the fluid density is much larger than particle density [36].…”

Section: Particle Trackingmentioning

confidence: 99%

“…Smaller particles have lower effective impingement angles than the bigger particles because they are easily influenced by the flow but have maximum angle of erosion rate on the target surface. Erosion wear life of direct impact testing under non-Newtonian slurry flow was studied by [25]. They also made a summary of best practices for CFD modeling of erosion rates and applied a cross-rheological model to model non-Newtonian thinning behavior.…”

Section: Introductionmentioning

confidence: 99%

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Computational Analysis of Water-Submerged Jet Erosion

et al. 2021

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Erosion causes substantial damage in many industrial equipment such as pump components, valves, elbows, and plugged tees. In most cases, erosion is coupled with corrosion, resulting in major financial loss (nearly 3.4% of the global gross domestic product) as evidenced in oil and gas industries. In most cases, the erosion occurs in a submerged water medium. In this paper, erosion characteristics of stainless steel 316 were investigated computationally in a water-submerged jet impingement setup. The erosion profiles and patterns were obtained for various parameters over ranges of inlet velocities (3 to 16 m/s), nozzle diameters (5 to 10 mm), nozzle–target distances (5 to 20 mm), nozzle shapes (circular, elliptical, square, and rectangular), impingement angles (60° to 90°), and particle sizes (50 to 300 µm). The range of Reynolds number studied based on nozzle diameters is 21,000–120,000. The Eulerian–Lagrangian approach was used for flow field prediction and particle tracking considering one-way coupling for the particle–fluid interaction. The Finnie erosion model was implemented in ANSYS-Fluent 19.2 and used for erosion prediction. The computational model was validated against experimental data and the distributions of the erosion depth as well as the locations of the of maximum and minimum erosion points are well matched. As expected, the results indicate an increase in loss of material thickness with increasing jet velocity. Increasing the nozzle diameter caused a reduction in the maximum depth of eroded material due to decreasing the particle impact density. At a fixed fluid inlet velocity, the maximum thickness loss increases as the separation distance between the nozzle outlet and target increases, aspect ratio of nozzle shape decreases, and impingement angle increases. The erosion patterns showed that the region of substantial thickness loss increases as nozzle size/stand-off height increases and as particle size decreases. In addition, increasing the aspect ratio and impingement angle creates skewed erosion patterns.

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Erosion Behavior of Non-Newtonian Sand-Carrying Liquid Elbow During Large Displacement Fracturing

Gao¹,

Zhou²,

Cao

et al. 2022

Lecture Notes in Electrical Engineering

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A combined CFD-experimental study of erosion wear life prediction for non-Newtonian viscous slurries

Cited by 22 publications

References 24 publications

Experimental and numerical investigation on slurry erosion performance of hybrid glass/steel fiber reinforced polymer composites for marine applications

Experimental and numerical investigation on slurry erosion performance of hybrid glass/steel fiber reinforced polymer composites for marine applications

Computational Analysis of Water-Submerged Jet Erosion

Erosion Behavior of Non-Newtonian Sand-Carrying Liquid Elbow During Large Displacement Fracturing

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