Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
617152 | Wear | 2015 | 15 Pages |
•We present an erosion dataset for pneumatic flow of sand through a standard elbow.•20×40 erosion depth data points are provided for the elbow surface.•Data is presented graphically, numerically (in a table), and in a spreadsheet.•Smooth wall assumption in CFD is shown to be inadequate for predicting erosion.•Particle–wall collision models are required to capture the erosion scar detail.
Erosion of surfaces is an on-going industrial problem wherever solid particles are conveyed. The literature reveals very limited data reported for elbow erosion. Almost all data that is available only relates to the elbow extrados, or else provides an overall mass loss of surface material with no information on erosion distribution. A detailed surface map of erosion depth in a standard elbow (90° bend, with bend radius to pipe diameter ratio equal to 1.5) is presented using measurements taken with a surface profiler. The full erosion data map is reported on a 40×20 point grid for erosion caused by the passage of 200 kg and 300 kg of sand through the elbow. The sand had a median diameter of 184 μm, and was conveyed by room temperature air travelling at 80 m s−1.Numerical modelling of the erosion distribution is then performed using the conventional Euler–Lagrange approach to erosion prediction. It is found that the use of this approach, in combination with a smooth wall assumption for particle–wall collisions, leads to inaccurate prediction of maximum erosion depth together with a characteristic “vee”-shaped erosion scar that is not present in the experimental data. By adopting a suitable rough wall collision model the erosion depth and distribution are much more accurately predicted. However, particle shape, surface profile development and surface roughness development are all factors that may also affect the erosion pattern.The numerical modelling demonstrates the importance of accurately incorporating particle–wall collisions, as well as other more complex flow behaviour, into the simulation if a true prediction of the erosion distribution is to be captured.
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