AN ENERGY BASED FOULING MODEL FOR GAS TURBINES: EBFOG

Fouling is a major problem in gas turbines for aeropropulsion because the formation of aggregates on the wet surfaces of the machine affects aerodynamic and heat loads. The representation of fouling in CFD is based on the evaluation of the sticking probability, i.e. the probability a particle touching a solid surface has to stick to that surface. Two main models are currently available in literature for the evaluation of the sticking coefficient: one is based on a critical threshold for the viscosity, the other is based on the normal velocity to the surface. However, both models are application specific and lack generality. This work presents an innovative model for the estimation of the sticking probability. This quantitiy is evaluated by comparing the kinetic energy of the particle with an activation energy which describes the state of the particle. The sticking criterion takes the form of an Arrhenius-type equation. A general formulation for the sticking coefficient is obtained. The method, named EBFOG (Energy Based FOulinG), is the first ”energy” based model presented in the open literature able to account any common deposition effect in gas turbines. The EBFOG model is implemented into a Lagrangian tracking procedure, coupled to a fully three-dimensional CFD solver. Particles are tracked inside the domain and equations for the momentum and temperature of each particle are solved. The local geometry of the blade is modified accordingly to the deposition ∗Address all correspondence to this author, email: nicola.casari@unife.it, nicola.casari15@imperial.ac.uk rate. The mesh is modified and the CFD solver updates the flow field. The application of this model to particle deposition in high pressure turbine vanes is investigated, showing the flexibility of the proposed methodology. The model is particularly important in aircraft engines where the effect of fouling for the turbine, in particular the reduction of the HP nozzle throat area, influences heavily the performance by reducing the core capacity. The energy based approach is used to quantify the throat area reduction rate and estimate the variation in the compressor operating condition. The compressor operating point as a function of the time spent operating in a harsh environment can be in this way predicted to estimate, for example, the time that an engine can fly in a cloud of volcanic ashes. The impact of fouling on the throat area of the nozzle is quantified for different conditions.

[1]  B. J. Reitzer Rate of Scale Formation in Tubular Heat Exchangers. Mathematical Analysis of Factors Influencing Rate of Decline of Over-all Heat Transfer Coefficients , 1964 .

[2]  K. Kendall,et al.  Surface energy and the contact of elastic solids , 1971, Proceedings of the Royal Society of London. A. Mathematical and Physical Sciences.

[3]  S. A. Morsi,et al.  An investigation of particle trajectories in two-phase flow systems , 1972, Journal of Fluid Mechanics.

[4]  G. J. Parker,et al.  Studies of the Deposition of Sub-Micron Particles on Turbine Blades: , 1972 .

[5]  Widen Tabakoff Compressor Erosion and Performance Deterioration , 1987 .

[6]  Richard A. Wenglarz,et al.  Physical Aspects of Deposition from Coal Water Fuels under Gas Turbine Conditions , 1989 .

[7]  T. Arts,et al.  Aero-thermal investigation of a highly loaded transonic linear turbine guide vane cascade: A test case for inviscid and viscous flow computations , 1990 .

[8]  Raymond M. Brach,et al.  A Mathematical Model of the Impact and Adhesion of Microsphers , 1992 .

[9]  James L. Smialek,et al.  The chemistry of Saudi Arabian sand: A deposition problem on helicopter turbine airfoils , 1992 .

[10]  Said Elghobashi,et al.  On predicting particle-laden turbulent flows , 1994 .

[11]  C. Senior,et al.  Viscosity of ash particles in combustion systems for prediction of particle sticking , 1995 .

[12]  Ernst P. Mücke,et al.  Fast randomized point location without preprocessing in two- and three-dimensional Delaunay triangulations , 1996, SCG '96.

[13]  Joe F. Thompson Introduction to “Numerical Solution of the Quasilinear Poisson Equation in a Nonuniform Triangle Mesh” , 1997 .

[14]  M. F. Smith,et al.  Gas dynamic principles of cold spray , 1998 .

[15]  Klaus Brun,et al.  Degradation in Gas Turbine Systems , 2001 .

[16]  Eric Irissou,et al.  Effect of Substrate Temperature on the Formation Mechanism of Cold-Sprayed Aluminum, Zinc and Tin Coatings , 2007, International Thermal Spray Conference.

[17]  Jeffrey P. Bons,et al.  Effects of Particle Size, Gas Temperature and Metal Temperature on High Pressure Turbine Deposition in Land Based Gas Turbines From Various Synfuels , 2007 .

[18]  A. Guha Transport and Deposition of Particles in Turbulent and Laminar Flow , 2008 .

[19]  Danesh K. Tafti,et al.  Composition Dependent Model for the Prediction of Syngas Ash Deposition With Application to a Leading Edge Turbine Vane , 2010 .

[20]  S. R. Gislasona,et al.  Characterization of Eyjafjallajökull volcanic ash particles and a protocol for rapid risk assessment , 2011 .

[21]  Michael G. Dunn,et al.  Operation of Gas Turbine Engines in an Environment Contaminated With Volcanic Ash , 2012 .

[22]  Ali Ameri,et al.  Coal Ash Deposition on Nozzle Guide Vanes—Part II: Computational Modeling , 2013 .

[23]  Srinath V. Ekkad,et al.  Effect of Near Melting Temperatures on Microparticle Sand Rebound Characteristics at Constant Impact Velocity , 2014 .

[24]  Klaus Brun,et al.  Quantitative CFD Analyses of Particle Deposition on a Transonic Axial Compressor Blade: Part II — Impact Kinematics and Particle Sticking Analysis , 2014 .

[25]  Theoklis Nikolaidis,et al.  Effect of Fouling, Thermal Barrier Coating Degradation and Film Cooling Holes Blockage on Gas Turbine Engine Creep Life , 2015 .

[26]  D. Tafti,et al.  Particle deposition model for particulate flows at high temperatures in gas turbine components , 2015 .

[27]  L. di Mare,et al.  Lip Stall Suppression in Powered Intakes , 2016 .

[28]  T. W. Clyne,et al.  Adhesion of Volcanic Ash Particles under Controlled Conditions and Implications for Their Deposition in Gas Turbines   , 2016 .