Coal ash deposition was numerically modeled on an uncooled GE-E3 high pressure turbine vane passage. A model was developed, in conjunction with Fluent™ software, to track individual particles through the turbine passage. Particles that strike the adiabatic surface become deposits if their viscosity drops below a predetermined value based on temperature. The computational model incorporated non-uniform inlet temperature conditions to account for the existence of a hot streak. The distribution of the temperature non-uniformity affects the location and amount of deposition measured on the nozzle guide vanes. Using a periodic condition that simulates one combustor nozzle per two nozzle guide vanes, the computational model predicts the optimal location for the combustor nozzle location to minimize total deposition rates in the vane passage. The deposition rates are strongly correlated to the average surface temperature of the vanes, but the clocking position with minimum deposition does not correlate to the clocking position with lowest average surface temperatures. The effect of particle size, or Stokes number, on deposition is studied and discussed.
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