Optimization of Forcing Parameters of Film Cooling Effectiveness

An optimization strategy is described that combines high-fidelity simulations with response surface construction, and is applied to pulsed film cooling for turbine blades. The response surface is constructed for the film cooling effectiveness as a function of duty cycle, in the range of DC between 0.05 and 1, and pulsation frequency St in the range of 0.2–2, using a pseudospectral projection method. The jet is fully modulated and the blowing ratio, when the jet is on, is 1.5 in all cases. Overall 73 direct numerical simulations (DNS) using spectral element method were performed to sample the film cooling effectiveness on a Clenshaw–Curtis grid in the design space. The geometry includes a 35-degree delivery tube and a plenum. It is observed that in the parameter space explored a global optimum exists, and in the present study, the best film cooling effectiveness is found at DC = 0.14 and St = 1.03. In the same range of DC and St, four other local optimums were found. The physical mechanisms leading to the forcing parameters of the global optimum are explored and ingestion of the crossflow into the delivery tube is observed to play an important role in this process. The gradient-based optimization algorithms are argued to be unsuitable for the current problem due to the nonconvexity of the objective function.

[1]  Wolfgang Schröder,et al.  Large-eddy simulation of film cooling flows at density gradients , 2008 .

[2]  Lamyaa A. El-Gabry,et al.  Effect of Pulsed Film Cooling on Leading Edge Film Effectiveness , 2012 .

[3]  Wolfgang Schröder,et al.  Large-eddy simulations of film cooling flows , 2006 .

[4]  Krishnan Mahesh,et al.  Dynamics and mixing of vortex rings in crossflow , 2008, Journal of Fluid Mechanics.

[5]  C. W. Clenshaw,et al.  A method for numerical integration on an automatic computer , 1960 .

[6]  S. Acharya,et al.  Flow and Heat Transfer Predictions for Film Cooling , 2001, Annals of the New York Academy of Sciences.

[7]  Ralph J. Volino,et al.  Effect of Jet Pulsing on Film Cooling—Part I: Effectiveness and Flow-Field Temperature Results , 2007 .

[8]  I. Celik,et al.  Random Flow Generation Technique for Large Eddy Simulations and Particle-Dynamics Modeling , 2001 .

[9]  F. Muldoon,et al.  DNS study of pulsed film cooling for enhanced cooling effectiveness , 2009 .

[10]  Lloyd N. Trefethen,et al.  An Extension of MATLAB to Continuous Functions and Operators , 2004, SIAM J. Sci. Comput..

[11]  D. Nikitopoulos,et al.  Study of Unforced and Modulated Film-Cooling Jets Using Proper Orthogonal Decomposition—Part I: Unforced Jets , 2013 .

[12]  G. Karniadakis,et al.  Spectral/hp Element Methods for Computational Fluid Dynamics , 2005 .

[13]  B. V. Johnson,et al.  Influence of the Hole Length-to-Diameter Ratio on Film Cooling With Cylindrical Holes , 1998 .

[14]  Srinath V. Ekkad,et al.  Effect of Jet Pulsation and Duty Cycle on Film Cooling From a Single Jet on a Leading Edge Model , 2006 .

[15]  D. Xiu Efficient collocational approach for parametric uncertainty analysis , 2007 .

[16]  Karen A. Thole,et al.  Gas Turbine Film Cooling , 2006 .

[17]  M. Kurosaka,et al.  Kidney and anti-kidney vortices in crossflow jets , 1997, Journal of Fluid Mechanics.

[18]  Ronald Scott Bunker,et al.  A review of shaped hole turbine film-cooling technology , 2005 .

[19]  S. Orszag,et al.  High-order splitting methods for the incompressible Navier-Stokes equations , 1991 .

[20]  S. Lele,et al.  Near Field of Film Cooling Jet Issued Into a Flat Plate Boundary Layer: LES Study , 2008 .