The whole annulus computations of particulate flow and erosion in an axial fan

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Journal titleJournal of Turbomachinery
Article number11040
SubjectAxial fans; Blade row; Computational costs; Down time; Dust particle; Erosion damage; Erosion patterns; Flow physics; Gas phase flow; Hostile environments; Intensive research; Lagrangian particle tracking; Life assessment; Maintenance cost; Multistage turbomachinery; Numerical algorithms; Numerical predictions; One-way couplings; Particulate flows; Power industry; Prediction methods; Sand erosion; Sand particles; Single blades; Stator-rotor interactions; Steady-state simulations; With inlets; Algorithms; Axial flow turbomachinery; Computational fluid dynamics; Digital storage; Forecasting; Erosion
AbstractGas turbine engines operating in a hostile environment, polluted with sand or dust particles, are susceptible to erosion damage, mostly at the front axial fans and compressors. Accurately predicting the erosion pattern and rate due to sand ingestion is one of the major challenges faced by the transportation and power industries. Maintenance costs are scrutinized and intensive research efforts are currently deployed in predictive life assessment tools to minimize the overhaul down time. The conventional prediction methods were usually based on steady-state simulations of gas-phase flows through a single blade passage per blade row to reduce the computational cost. However, the multistage turbomachinery flows are intrinsically subject to unsteadiness, especially due to stator-rotor interactions, which may affect sand particle trajectories even if a one-way coupling method is considered. Furthermore, an unsteady stator-rotor interaction requires a whole-annulus model at great computational cost to avoid simplifications of the geometries or flow physics. To study the effects of the stator-rotor interaction on sand particle trajectories and erosion, an axial fan with inlet guide vanes is investigated, based on the whole annulus computations of both steady and unsteady gas-phase flows, each of which is then followed by a Lagrangian particle tracking step. A numerical algorithm for tracking particles driven by the unsteady gas-phase flow is presented. The comparison of the numerical predictions with the experimental data confirms the validity and necessity of the unsteady computational fluid dynamics (CFD) model in providing adequate predictions of sand erosion in the axial fan. © 2013 American Society of Mechanical Engineers.
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AffiliationNational Research Council Canada (NRC-CNRC); Aerospace (AERO-AERO)
Peer reviewedYes
NPARC number21269428
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Record identifier505bbf97-52ae-4828-ba56-186aa79e5dff
Record created2013-12-12
Record modified2016-05-09
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