Determination of Woody Fuel Flame Properties by Means of Emission Spectroscopy Using a Genetic Algorithm

REFERENCES

• Agueda , A. , Pastor , E. , Pérez , Y. , and Planas , E. 2010 . Experimental study of the emissivity of flames resulting from the combustion of forest fuels . Int. J. Therm. Sci. , 49 , 543 .
   Web of Science ®Google Scholar
• Albini , F.A. , and Brown , J.K. 1996 . Mathematical modeling and predicting wildland fire effects . Combust. Explos. Shock Waves , 32 , 520 .
   Web of Science ®Google Scholar
• André , F. , Galizzi , C. , Vaillon , R. , and Escudié , D. 2009 . Basic principles of two emission spectroscopy techniques for soot volume fraction and temperature diagnostics in flames. Proc. 5th European Combustion Meeting, Cardiff University, Cardiff, Wales, UK.
   Google Scholar
• André , F. , Vaillon , R. , Ayranci , I. , Escudié , D. , and Selçuk , N. 2004 . Radiative transfer diagnostic technique of sooting flames from emission spectroscopy . Radiat. Transfer IV, Proc. Int. Symp. Radiat. Transfer, 4th , 1 , 435 .
   Google Scholar
• Ayranci , I. , Vaillon , R. , and Selçuk , N. 2008 . Near-infrared emission spectrometry measurements for nonintrusive soot diagnosticsin flames . J. Quant. Spectrosc. Radiat. Transfer. , 109 , 349 .
   Web of Science ®Google Scholar
• Bäck , T. 1996 . Evolutionary Algorithms in Theory and Practice: Evolution Strategies, Evolutionary Programming, Genetic Algorithms , Oxford University Press , Oxford .
   Google Scholar
• Bäck , T. , Fogel , D. , and Michalewicz , Z. 1997 . Handbook of Evolutionary Computation , Oxford University Press , Oxford .
   Google Scholar
• Boulet , P. , Parent , G. , Acem , Z. , Kaiss , A. , Billaud , Y. , Porterie , B. , Pizzo , Y. , and Picard , C. 2011 . Experimental investigation of radiation emitted by optically thin to optically thick wildland flames . J. Combust. , 1 – 8 .
   Google Scholar
• Boulet , P. , Parent , G. , Collin , A. , Acem , Z. , Porterie , B. , and Clerc , J.-P. 2009 . Spectral emission of flames from laboratory-scale vegetation fires . Int. J. Wildland Fire , 18 , 875 .
   Web of Science ®Google Scholar
• Bourayou , R. , Vaillon , R. , and Sacadura , J.-F. 2002 FTIR low resolution emission spectrometry of a laboratory-scale diffusion flame: Experimental setup . Exp. Therm. Fluid Sci. , 26 , 181 .
   Web of Science ®Google Scholar
• Butler , B.W. , Cohen , J. , and Latham , D.J. 2004. Measurements of radiant emissive power and temperatures in crown fires. Can. J. For. Res. , 34, 1577.
   Web of Science ®Google Scholar
• Chetehouna , K. , Séro-Guillaume , O. , and Degiovanni , A. 2004 . Measurement of radiative absorption coefficient for a vegetal . Meas. Sci. Technol. , 15 , 43 .
   Web of Science ®Google Scholar
• Demarco , R. , Consalvi , J.-L. , Fuentes , A. , and Melis , S. 2011 . Assessment of radiative property models in non-gray sooting media . Int. J. Therm. Sci. , 50 , 1672 .
   Web of Science ®Google Scholar
• Dupuy , J.-L. , Vachet , P. , Maréchal , J. , Meléndez , J. , and De Castro , A.J. 2007 . Thermal infrared emission-transmission measurements in flames from a cylindrical forest fuel burner . Int. J. Wildland Fire , 16 , 324 .
   Web of Science ®Google Scholar
• Gen , M. , and Cheng , R. 1997 . Genetic Algorithms and Engineering Design , Wiley , New York .
   Google Scholar
• Goldberg , D. 1989 . Genetic algorithms . In Search, Optimization, and Machine Learning , Addison-Wesley , Reading , MA .
   Google Scholar
• Lautenberger , C. , Rein , G. , and Fernandez-Pello , C. 2006 . The application of a genetic algorithm to estimate material properties for fire modeling from bench-scale fire test data . Fire Saf. J. , 41 , 204 .
   Web of Science ®Google Scholar
• Malkmus , W. 1967 . Random lorentz band model with exponential-tailed s–1 line-intensity distribution function . J. Opt. Soc. Am. , 57 , 323 .
   Web of Science ®Google Scholar
• Modest , M.F. 2003 . Radiative Heat Transfer, , 2nd ed. , Academic Press , New York .
   Google Scholar
• Parent , G. , Acem , Z. , Lechêne , S. , and Boulet , P. 2010 . Measurement of infrared radiation emitted by the flame of a vegetation fire . Int. J. Therm. Sci. , 49 , 555 .
   Web of Science ®Google Scholar
• Raudensky , M. , Woodbury , K.A. , Kral , J. , and Brezina , T. 1995 . Genetic algorithm in solution of inverse heat conduction problems . Numer. Heat Transfer, Part B , 28 , 293 .
   Web of Science ®Google Scholar
• Siegel , R. , and Howel , J.R. 1992 . Thermal Radiation Heat Transfer, , 3rd ed. , Taylor and Francis , Washington , DC .
   Google Scholar
• Sivanandam , S.N. , and Deepa , S.N. 2007 . Introduction to Genetic Algorithms , Springer-Verlag , Berlin .
   Google Scholar
• Sivathanu , Y. , Gore , J.P. , and Doliner , J. 1991 . Transient scalar properties of strongly radiating jet flames . Combust. Sci. Technol. , 76 , 45 .
   Web of Science ®Google Scholar
• Solovjov , V.P. , and Webb , B.W. 2001 . An efficient method for modeling radiative transfer in multicomponent gas mixtures with soot . J. Heat Transfer , 123 , 450 .
   Web of Science ®Google Scholar
• Soufiani , A. , and Taine , J. 1997 . High temperature gas radiative property parameters of statistical narrow-band model for H2O, CO2, and CO, and correlated-k model for H2O and CO2 . Int. J. Heat Mass Transfer , 40 , 987 .
   Web of Science ®Google Scholar
• Sun , Y.P. , Lou , C. , and Zhou , H.C. 2011 . Estimating soot volume fraction and temperature in flames using stochastic particle swarm optimization algorithm . Int. J. Heat Mass Transfer , 54 , 217 .
   Web of Science ®Google Scholar