Experimental and numerical investigation of the effect of viscosity and particle size on the erosion damage caused by solid particles (original) (raw)
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Prediction of erosion in flow systems requires an understanding of the complex interactions between the fluid and the solids. The complexity of the problem increases significantly in multiphase flow due to the existence of different flow patterns. Earlier predictive methods for erosion in multiphase flow were primarily based on empirical data and the applicability of those models was limited to the flow conditions of the experiments. A new mechanistic model for predicting erosion in elbows in multiphase flow is presented. Local fluid velocities in multiphase flow are used to calculate erosion rates in multiphase flow using particle tracking and simplified erosion equations. The predicted erosion rates obtained by the mechanistic model presented here are in good agreement with experimental data available in the literature for different flow regimes and a wide range of flow velocities.
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An erosion prediction method with the objective of determining wear profiles on various geometries due to slurry erosion, based on material wear data acquired from a minimum set of carefully selected laboratory tests and CFD (computational fluid dynamic) simulations has been developed. Data from a single standard laboratory test [Jet Impingement Test on a flat specimen oriented at 90 • to an impinging solid suspension (water and sand)] is characterised using CFD to acquire wear data for a range of erosion parameters as a function of position. This data is used to build a wear map for that specific material-abrasive (316L steel-AFS50/70 sand) combination. The accuracy of this method is assessed by predicting wear from further jet impingement tests at 90 • but under different flow velocities to that used to build the map and subsequently assessing against experiments. A good correlation between predicted and measured wear was observed. An assessment of two phenomenological wear models (which profess to capture wear characteristics as a function of material properties) and one wear model that captures the above wear map statistically through the use of appropriate fitting functions is made.
Simulating of erosion modeling using ANSYS fluid dynamics
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The micromechanical process of solid particle erosion can be affected by a number of factors, including impact angle, flow geometry, and particle size and shape. Erosion can also be affected by fluid properties, flow conditions, and the material comprising the impact surface. Of these several different potential impacting factors, the most critical ones for initiating erosion are particle size and matter, carrier phase viscosity, pipe diameter, velocity, and total flow rate of the second phase. Three turbulence models which are heavily dependent on flow velocities and fluid properties in their environment are k-epsilon (k-e), k-omega (k-ω) and The Shear Stress Transport Model (sst). More extreme erosion generally occurs in gas-solid flow for geometries which experience rapid alterations in flow direction (e.g., in valves and tees) because of unstable flow and local turbulence. The present study provides results from computational fluid dynamics (CFD) simulations that feature dilute ...
Journal of Natural Gas Science and Engineering, 2014
Sand is commonly produced along with production fluids (oil and gas), and this is a major problem for the oil and gas industry. Sand production is a concern, since it can bring about a variety of problems. Amid them, three problems stand out above all: pressure drop, pipe blockage, and erosion. The latter is a complex mechanical process in which material is removed from the pipeline due to repeated sand particle impacts. As a result, the pipeline can be eroded. Eroded pipelines may cause pipe failures which can result in financial losses and environmental issues. Therefore, it is important to know what parameters govern the erosion phenomenon and how it can be modeled. The present work describes key factors influencing erosion and reviews available erosion equations. Furthermore, empirical and mechanistic models for erosion prediction in pipelines are discussed. These models are used by oil and gas companies to limit the maximum production flow rates and avoid excessive erosion damage. Computational fluid dynamics (CFD) based erosion modeling as a comprehensive method for erosion studying is explained as well. Finally, possible limitations and gaps in knowledge concerning erosion are indicated. The current work can be used by oil and gas companies as a comprehensive review of erosion challenges and remedies. Of course, further studies must be undertaken in order to expand the knowledge of erosion and find applicable models for erosion damage prediction and prevention.
Iranian Journal of Chemical Engineering, 2023
In this study, the fluid flow together with solid particles has been studied using Computational Fluid Dynamics (CFD). The gas-solid flow (air and sand particles with the size of 150 µm) inside a 76.2 mm diameter pipe with various bend angles including 45, 60, 90, 120, 135, and 180° was modelled at the fluid flow velocity of 11 m/s. The k-ω turbulence model was employed to model the flow turbulence and the E/CRC erosion model have been used to predict erosion rates. The hydrodynamics of the flow, the particles motion as well as the probable erosion regions were predicted. The CFD simulation results showed that increasing the curvature angle increases the erosion rate. While, increasing the pipe diameter, decreases the erosion rate. The maximum erosion rate was predicted at the end part of the curvature for 45 and 60 ° angles, while it was observed in the middle region for 120 and 135 ° curvatures. Finally, the maximum erosion rate for the 180 ° curvature was observed in two regions at the end of the first and second half. Using these results, precautionary considerations for the erosion, and the suitable plans for the repair and maintenance of the equipment can be offered.