Soft Computing Methods for Thermo-Acoustic Simulation

REFERENCES

• A. P. Dowling , Nonlinear Self-Excited Oscillations of a Ducted Flame , J. Fluid Mechanics , vol. 346 , pp. 271 – 290 , 1997 .
   Web of Science ®Google Scholar
• F. E. C. Culick , Non-Linear Growth and Limiting Amplitude of Acoustic Oscillations in Combustion Chambers , Combust. Sci. and Tech. , vol. 3 , pp. 1 – 16 , 1971 .
   Web of Science ®Google Scholar
• W. Polifke , Low-Order Analysis Tools for Aero- and Thermo-Acoustic Instabilities , In Advances in Aero-Acoustics and Thermo-Acoustics , C. Schram , ed., Van Karman Institute for Fluid Dynamics , Rhode-St-Genèse , Belgium , 2010 .
   Google Scholar
• N. Noiray , D. Durox , T. Schuller , and S. Candel , A Unified Framework for Nonlinear Combustion Instability Analysis based on the Flame Describing Function, J. Fluid Mechanics , vol. 615, pp. 139–167, 2008.
   Web of Science ®Google Scholar
• H. Ishikawa and D. J. Mee , Numerical Investigations of Flow and Energy Fields near a Thermoacoustic Couple , J. Acoust. Soc. Am. , vol. 111 , pp. 831 – 839 , 2002 .
   PubMed Web of Science ®Google Scholar
• C. Hantschk and D. Vortmeyer , Numerical Simulation of Self-Excited Thermoacoustic Instabilities in a Rijke Tube , J. Sound and Vibration , vol. 3 , no. 277 , pp. 511 – 522 , 1999 .
   Google Scholar
• B. Entezam , W. K. V. Moorhem , and J. Majdalani , Two-Dimensional Numerical Verification of the Unsteady Thermoacoustic Field Inside a Rijke-Type Pulse Combustor , Numer. Heat Transfer A , vol. 41 , pp. 245 – 262 , 2002 .
   Web of Science ®Google Scholar
• M. K. Aktas and T. Ozgumus , Nonzero Mean Oscillatory Flow in Symmetrically-Heated Shallow Enclosures: An Analysis of Acoustic Streaming , Numer. Heat Transfer A , vol. 57 , pp. 869 – 891 , 2010 .
   Web of Science ®Google Scholar
• S. V. S. S. N. V. G. K. Murthy and B. V. R. Kumar , Non-Darcy Mixed Convection in a Porous Square Enclosure Under Suction/Injection Effects with a Non-Isothermal Vertical Wall , Numer. Heat Transfer A , vol. 57 , pp. 580 – 602 , 2010 .
   Web of Science ®Google Scholar
• A. Toffolo , M. Masi , and A. Lazzaretto , Low Computational Cost CFD Analysis of Thermoacoustic Oscillations , Appl. Therm. Eng. , vol. 30 , pp. 544 – 552 , 2010 .
   Web of Science ®Google Scholar
• W. S. Song , S. Lee , and D. S. Shin , Prediction of Thermoacoustic Instability in Rijke Tube Using CFD-CAA Numerical Method , J. Mech. Sci. and Tech. , vol. 25 , pp. 675 – 682 , 2011 .
   Web of Science ®Google Scholar
• L. Tay Wo Chong , T. Komarek , R. Kaess , S. Föller , and W. Polifke , Identification of Flame Transfer Functions from LES of a Premixed Swirl Burner, In Proc. of ASME Turbo Expo 2010, no. GT2010-22769, Glasgow, Scotland, 2010.
   Google Scholar
• W. Polifke and C. O. Paschereit , Determination of Thermo-Acoustic Transfer Matrices by Experiment and Computational Fluid Dynamics , ERCOFTAC Bulletin , vol. 38 , 1998 .
   Google Scholar
• W. Polifke , A. Poncet , C. O. Paschereit , and K. Döbbeling , Reconstruction of Acoustic Transfer Matrices by Instationary Computational Fluid Dynamics , J. Sound and Vibration , vol. 245 , pp. 483 – 510 , 2001 .
   Web of Science ®Google Scholar
• F. Selimefendigil , R. Sujith , and W. Polifke , Identification of Heat Transfer Dynamics for Non-Modal Analysis of Thermoacoustic Stability , Appl. Mathematics and Computation , vol. 217 , pp. 5134 – 5150 , 2011 .
   Web of Science ®Google Scholar
• F. Selimefendigil , S. Föller , and W. Polifke , Nonlinear Identification of the Unsteady Heat Transfer of a Cylinder in Pulsating Crossflow , Computers and Fluids , vol. 53 , pp. 1 – 14 , 2012 .
   Web of Science ®Google Scholar
• F. Selimefendigil and W. Polifke , Nonlinear, Proper-Orthogonal-Decomposition-Based Model of Forced Convection Heat Transfer in Pulsating Flow , AIAA J. , vol. 52 , pp. 131 – 145 , 2014 .
   Google Scholar
• S. Aminossadati , A. Kargar , and B. Ghasemi , Adaptive Network-Based Fuzzy Inference System Analysis of Mixed Convection in a Two-Sided Lid-Driven Cavity Filled with a Nanofluid , Int. J. of Therm. Sciences , vol. 52 , pp. 102 – 111 , 2012 .
   Web of Science ®Google Scholar
• J. Liang and R. Du , Model-Based Fault Detection and Diagnosis of HVAC Systems using Support Vector Machine Method , Int. J. of Refrigeration , vol. 30 , pp. 1104 – 1114 , 2007 .
   Web of Science ®Google Scholar
• Y. Varol , H. F. Oztop , and E. Avci , Estimation of Thermal and Flow Fields due to Natural Convection using Support Vector Machines (SVM) in a Porous Cavity with Discrete Heat Sources , Int. Commun. in Heat and Mass Transfer , vol. 35 , pp. 928 – 936 , 2008 .
   Web of Science ®Google Scholar
• S. Kalogirou , Applications of Artificial Neural Networks in Energy Systems: A Review , Energy Conversion and Management , vol. 40 , pp. 1073 – 1087 , 1999 .
   Web of Science ®Google Scholar
• J. Ryoo , Z. Dragojlovic , and D. Kaminski , Control of Convergence in a Computational Fluid Dynamics Simulation using Anfis, IEEE Trans. Fuzzy Syst. , vol. 13, pp. 42–47, 2005.
   Web of Science ®Google Scholar
• M. A. Mahmoud and A. E. Ben-Nakhi , Neural Networks Analysis of Free Laminar Convection Heat Transfer in a Partitioned Enclosure , Commun. in Nonlinear Sci. and Numer. Simulation , vol. 12 , pp. 1265 – 1276 , 2007 .
   Web of Science ®Google Scholar
• G. Xie , Q. Wang , and L. L. M. Zeng , Heat Transfer Analysis for Shell-and-Tube Heat Exchangers with Experimental Data by Artificial Neural Networks Approach , Appl. Therm. Eng. , vol. 27 , pp. 1096 – 1104 , 2007 .
   Web of Science ®Google Scholar
• G. Wang , Z. Luo , L. Zhu , H. Chen , and L. Zhang , Fuzzy Estimation for Temperature Distribution of Furnace Inner Surface , Int. J. of Therm. Sciences , vol. 51 , pp. 84 – 90 , 2012 .
   Web of Science ®Google Scholar
• L. Cammarata , A. Fichera , and A. Pagano , Neural Prediction of Combustion Instability , Appl. Energy , vol. 72 , pp. 513 – 528 , 2002 .
   Web of Science ®Google Scholar
• A. Fichera and A. Pagano , Application of Neural Dynamic Optimization to Combustion-Instability Control , Appl. Energy , vol. 83 , pp. 253 – 264 , 2006 .
   Web of Science ®Google Scholar
• S. J. Illingworth , I. C. Waugh , and M. P. Juniper , Finding Thermoacoustic Limit Cycles for a Ducted Burke-Schumann Flame , Proc. of the Combustion Institute , vol. 34 , pp. 911 – 920 , 2013 .
   Web of Science ®Google Scholar
• K. Balasubramanian and R. I. Sujith , Non-Normality and Nonlinearity in Combustion-Acoustic Interaction in Diffusion Flames , J. of Fluid Mechanics , vol. 594 , pp. 29 – 57 , 2008 .
   Web of Science ®Google Scholar
• M. Tyagi , S. R. Chakravarthy , and R. Sujith , Unsteady Combustion Response of a Ducted Non-Premixed Flame and Acoustic Coupling , Combustion Theory and Modelling , vol. 11 , pp. 205 – 226 , 2007 .
   Web of Science ®Google Scholar
• COMSOL FEMLAB 3.2 Users Guide, Comsol AB, 2005.
   Google Scholar
• K. I. Matveev , Thermoacoustic Instabilities in the Rijke Tube: Experiments and Modeling, Ph.D. dissertation, California Institute of Technology, Pasadena, California, 2003.
   Google Scholar
• R. Babuska , Fuzzy Modeling for Control , Kluwer Academic Publishers , Boston , 1998 .
   Google Scholar
• R. Babuska and H. Verbruggen , Multiple Model Approaches to Nonlinear Modeling and Control , Taylor and Francis , London , 1997 .
   Google Scholar
• T. Takagi and M. Sugeno , Fuzzy Identification of Systems and its Application to Modeling and Control , IEEE Trans. on Systems, Man and Cybernetics , vol. 15 , no. 1 , pp. 116 – 132 , 1985 .
   Web of Science ®Google Scholar
• K. Tanaka , An Introduction to Fuzzy Logic for Practical Applications , Springer , 1996 .
   Google Scholar
• J. C. Bezdek , Pattern Recognition with Fuzzy Objective Function Algorithms , Plenum Press , New York , 1981 .
   Google Scholar
• D. E. Gustafson and W. C. Kessel , Fuzzy Clustering with a Fuzzy Covariance Matrix, In IEEE CDC, San Diego, CA, pp. 761–766, 1979.
   Google Scholar
• L. Ljung , Sytem Identification: Theory for the User , Englewood Cliffs , 1987 .
   Google Scholar
• T. Söderström and P. Stoica , System Identification , Prentice-Hall International , Hemel Hempstead , UK , 1989 .
   Google Scholar
• J. Sjöberg , Q. Zhang , L. Ljung , A. Benveniste , B. Delyon , P. Glorennec , H. Hjalmarsson , and A. Juditsky , Nonlinear Black-Box Modeling in System Identification: A Unified Overview , Automatica , vol. 31 , no. 12 , pp. 1691 – 1724 , 1995 .
   Web of Science ®Google Scholar
• S. Chen and S. A. Billings , Neural Networks for Non-Linear Dynamic System Modelling and Identification , Int. J. of Control , vol. 56 , p. 319 – 346 , 1992 .
   Web of Science ®Google Scholar
• K. Narendra and K. Parthasarathy , Identification and Control of Dynamical Systems using Neural Networks , IEEE Trans. on Neural Networks , vol. 1 , pp. 4 – 27 , 1990 .
   PubMedGoogle Scholar
• D. T. Pham , Neural Networks for Identification, Prediction and Control , Springer , London , 1995 .
   Google Scholar
• M. Nørgaard , O. Ravn , and N. Poulsen , Nnsysid-Toolbox for System Identification with Neural Networks, Mathematical and Computer Modelling of Dynamical Systems, Mathematical and Computer Modelling of Dynamical Systems , vol. 8, no. 1, pp. 1–20, 2002.
   Google Scholar
• K. Balasubramanian and R. I. Sujith , Nonlinear Response of Diffusion Flames to Uniform Velocity Disturbances , Combust. Sci. and Tech. , vol. 180 , pp. 418 – 436 , 2008 .
   Web of Science ®Google Scholar
• S. Billings , H. Jamaluddin , and S. Chen , Properties of Neural Networks with Applications to Modelling Non-Linear Dynamical Systems , Int. J. of Control , vol. 55 , pp. 193 – 224 , 1992 .
   Web of Science ®Google Scholar
• S. Billings and Q. Zhu , Nonlinear Model Validation using Correlation Tests , Int. J. of Control , vol. 60 , pp. 1107 – 1120 , 1994 .
   Web of Science ®Google Scholar
• Color versions of one or more of the figures in the article can be found online at www.tandfonline.com/unht.
   Google Scholar