Dynamics of Premixed Flames Near Lean and Rich Blowout

References

• Airplane Flying Handbook (FAA-H-8083-3A). 2011. Skyhorse Publishing Inc.
   Google Scholar
• Beaudoin, M.-A., A. Landry-Blais, J.-S. Plante, M. Brouillette, and M. Picard. 2016. Transverse acceleration effect on the rich blowout limit of diffusion flames, in Proceedings of Combustion Institute – Canadian Section, University of Waterloo.
   Google Scholar
• Bhattacharya, C., S. De, A. Mukhopadhyay, S. Sen, and A. Ray. 2020. Detection and classification of lean blow-out and thermoacoustic instability in turbulent combustors. Appl. Therm. Eng. 180:115808. doi:10.1016/j.applthermaleng.2020.115808.
   Web of Science ®Google Scholar
• Bush, S., and E. Gutmark. 2005. Characterization of blow out links for a v-gutter stabilized flame, in 43rd AIAA Aerospace Sciences Meeting and Exhibit, Reno, Nevada, p. 1116.
   Google Scholar
• De, S., A. Bhattacharya, S. Mondal, A. Mukhopadhyay, and S. Sen. 2019. Investigation of flame behavior and dynamics prior to lean blowout in a combustor with varying mixedness of reactants for the early detection of lean blowout. Int. J. Spray Combust. Dyn. 11:1756827718812519. doi:10.1177/1756827718812519.
   Web of Science ®Google Scholar
• De, S., A. Bhattacharya, S. Mondal, A. Mukhopadhyay, and S. Sen. 2020a. Application of recurrence quantification analysis for early detection of lean blowout in a swirl-stabilized dump combustor. Chaos J. Nonlinear Sci. 30 (4):043115. doi:10.1063/1.5131231.
   PubMed Web of Science ®Google Scholar
• De, S., A. Bhattacharya, A. Mukhopadhyay, and S. Sen. 2021. Early detection of lean blowout in a combustor using symbolic analysis of colour images. Measurement 186:110113. doi:10.1016/j.measurement.2021.110113.
   Web of Science ®Google Scholar
• De, S., A. Biswas, A. Bhattacharya, A. Mukhopadhyay, and S. Sen. 2020b. Use of flame color and chemiluminescence for early detection of lean blowout in gas turbine combustors at different levels of fuel– air premixing. Combust. Sci. Technol. 192 (5):933–57. doi:10.1080/00102202.2019.1604514.
   Web of Science ®Google Scholar
• Driscoll, J. F., and C. C. Rasmussen. 2005. Correlation and analysis of blowout limits of flames in high-speed airflows. J. Propuls. Power 21 (6):1035–44. doi:10.2514/1.13329.
   Web of Science ®Google Scholar
• Gotoda, H., H. Nikimoto, T. Miyano, and S. Tachibana. 2011. Dynamic properties of combustion instability in a lean premixed gas-turbine combustor. Chaos J. Nonlinear Sci. 21 (1):013124. doi:10.1063/1.3563577.
   PubMed Web of Science ®Google Scholar
• Gupta, S., P. Malte, S. L. Brunton, and I. Novosselov. 2019. Prevention of lean flame blowout using a predictive chemical reactor network control. Fuel 236:583–88. doi:10.1016/j.fuel.2018.09.044.
   Web of Science ®Google Scholar
• Hui, X., C. Zhang, M. Xia, and C.-J. Sung. 2014. Effects of hydrogen addition on combustion characteristics of n-decane/air mixtures. Combust Flame 161 (9):2252–62. doi:10.1016/j.combustflame.2014.03.007.
   Web of Science ®Google Scholar
• Hurst, H. E. 1951. Long-Term storage capacity of reservoirs. Trans. Am. Soc. Civ. Eng. 116 (1):770–99. doi:10.1061/TACEAT.0006518.
   Google Scholar
• Ihlen, E. A. F. E. 2012. Introduction to multifractal detrended fluctuation analysis in matlab. Front Physiol 3:141. doi:10.3389/fphys.2012.00141.
   PubMed Web of Science ®Google Scholar
• Kantelhardt, J. W., S. A. Zschiegner, E. Koscielny-Bunde, S. Havlin, A. Bunde, and H. E. Stanley. 2002. Multifractal detrended fluctuation analysis of nonstationary time series. Phys. A Stat. Mech. Appl. 316 (1–4):87–114. doi:10.1016/S0378-4371(02)01383-3.
   Web of Science ®Google Scholar
• Laera, D., G. Campa, S. M. Camporeale, E. Bertolotto, S. Rizzo, F. Bonzani, A. Ferrante, and A. Saponaro. 2014. Modelling of thermoacoustic combustion instabilities phenomena: Application to an experimental test rig. Energy Procedia 45:1392–401. doi:10.1016/j.egypro.2014.01.146.
   Google Scholar
• Ma, F., Y. Wang, H. Liu, Y. Li, J. Wang, and S. Zhao. 2007. Experimental study on thermal efficiency and emission characteristics of a lean burn hydrogen enriched natural gas engine. Int. J. Hydrogen Energy 32 (18):5067–75. doi:10.1016/j.ijhydene.2007.07.048.
   Web of Science ®Google Scholar
• Mishura, Y., and M. Zili. 2018. Stochastic analysis of mixed fractional Gaussian processes. Oxford, UK: Elsevier.
   Google Scholar
• Mondal, S., S. De, A. Mukhopadhyay, S. Sen, and A. Ray. 2022. Early prediction of lean blowout from chemiluminescence time series data. Combust. Sci. Technol. 194 (6):1108–35. doi:10.1080/00102202.2020.1804380.
   Web of Science ®Google Scholar
• Mondal, S., V. R. Unni, and R. Sujith. 2017. Onset of thermoacoustic instability in turbulent combustors: An emergence of synchronized periodicity through formation of chimera-like states. J Fluid Mech 811:659–81. doi:10.1017/jfm.2016.770.
   Web of Science ®Google Scholar
• Mukhopadhyay, A., and S. Sen. 2019. Fundamentals of combustion engineering. Florida, USA: CRC Press. doi:10.1201/9780429158216.
   Google Scholar
• Nair, S., and T. Lieuwen. 2005. Acoustic detection of blowout in premixed flames. J. Propuls. Power 21 (1):32–39. doi:10.2514/1.5658.
   Web of Science ®Google Scholar
• Nair, V., and R. Sujith. 2014. Multifractality in combustion noise: Predicting an impending combustion instability. J Fluid Mech 747:635–55. doi:10.1017/jfm.2014.171.
   Web of Science ®Google Scholar
• Nair, V., and R. Sujith. 2015. Intermittency as a transition state in combustor dynamics: An explanation for flame dynamics near lean blowout. Combust. Sci. Technol. 187 (11):1821–35. doi:10.1080/00102202.2015.1066339.
   Web of Science ®Google Scholar
• O’Connor, J., S. Hemchandra, and T. Lieuwen. 2016. Combustion instabilities in lean premixed systems. In Lean combustion, ed. D. Dunn-Rankin and P. Therkelsen, 231–59. Elsevier.
   Google Scholar
• Okubo, M., and T. Kuwahara. 2019. New technologies for emission control in marine diesel engines. Butterworth-: Heinemann.
   Google Scholar
• Plee, S., and A. Mellor. 1979. Characteristic time correlation for lean blowoff of bluff-body-stabilized flames. Combust Flame 35:61–80. doi:10.1016/0010-2180(79)90007-5.
   Web of Science ®Google Scholar
• Rasmussen, C., and J. Driscoll. 2008. Blowout limits of flames in high-speed airflows: Critical damkohler number, in 44th AIAA/ASME/SAE/ASEE Joint Propulsion Conference & Exhibit, Hartford, CT, p. 4571.
   Google Scholar
• Rasmussen, C. C., J. F. Driscoll, C. D. Carter, and K.-Y. Hsu. 2005. Characteristics of cavity-stabilized flames in a supersonic flow. J. Propuls. Power 21 (4):765–68. doi:10.2514/1.15095.
   Web of Science ®Google Scholar
• Rasmussen, C. C., J. F. Driscoll, K.-Y. Hsu, J. M. Donbar, M. R. Gruber, and C. D. Carter. 2005. Stability limits of cavity-stabilized flames in supersonic flow. Proc. Combust. Inst. 30 (2):2825–33. doi:10.1016/j.proci.2004.08.185.
   Web of Science ®Google Scholar
• Rock, N., B. Emerson, J. Seitzman, and T. Lieuwen. 2020. Near-Lean blowoff dynamics in a liquid fueled combustor. Combust Flame 212:53–66. doi:10.1016/j.combustflame.2019.10.010.
   Web of Science ®Google Scholar
• Rock, N., S. Stouffer, T. Hendershott, J. Heyne, D. Blunck, L. Zheng, B. Khandelwal, B. Emerson, E. Mastorakos, and M. Colket. 2021. Lean blowout studies. In Fuel effects on operability of aircraft gas turbine combustors, AIAA progress in astronautics and aeronautics fuel effects on operability of aircraft gas turbine combustors, ed. M. Colket and J. Heyne, 143–196. doi:10.2514/5.9781624106040.0143.0196.
   Google Scholar
• Rosfjord, T. J., and J. M. Cohen. 1995. Evaluation of the transient operation of advanced gas turbine combustors. J. Propuls. Power 11 (3):497–504. doi:10.2514/3.23870.
   Web of Science ®Google Scholar
• Roy, A., and R. I. Sujith. 2021. Fractal dimension of premixed flames in intermittent turbulence. Combust Flame 226:412–18. doi:10.1016/j.combustflame.2020.12.032.
   Web of Science ®Google Scholar
• Sardeshmukh, S., M. Bedard, and W. Anderson. 2017. The use of oh* and ch* as heat release markers in combustion dynamics. Int. J. Spray Combust. Dyn. 9 (4):409–23. doi:10.1177/1756827717718483.
   Web of Science ®Google Scholar
• Shanbhogue, S. J., S. Husain, and T. Lieuwen. 2009. Lean blowoff of bluff body stabilized flames: Scaling and dynamics. Prog. Energy Combust. Sci. 35 (1):98–120. doi:10.1016/j.pecs.2008.07.003.
   Web of Science ®Google Scholar
• Sujith, R. 2021. Thermoacoustic instability: A complex systems perspective. Springer Cham. doi:10.1007/978-3-030-81135-8.
   Google Scholar
• Takens, F. 1981. Detecting strange attractors in turbulence. In‘Dynamical systems and turbulence, Warwick 1980, pp. 366–81. Berlin, Heidelberg: Springer.
   Google Scholar
• Turns, S. R. 1996. Introduction to combustion, Vol. 287. New York, NY, USA: McGraw-Hill Companies
   Google Scholar
• Unni, V. R. 2017. Dynamics of blowout and thermoacoustic instability in a bluff body stabilized turbulent combustor Indian Institute of Technology Madras PhD thesis
   Google Scholar
• Unni, V. R., and R. I. Sujith. 2016. Precursors to blowout in a turbulent combustor based on recurrence quantification, in 52nd AIAA/SAE/ASEE Joint Propulsion Conference, Salt Lake City, UT, p. 4649. doi:10.2514/6.2016-4649.
   Google Scholar
• Wang, J., X. Fan, T. Zhang, G. Yu, and J. Li. 2011. Measurements of the blowout limits of supercritical aviation kerosene in a supersonic combustor, in 47th AIAA/ASME/SAE/ASEE Joint Propulsion Conference & Exhibit, San Diego, California, p. 6108.
   Google Scholar
• Wang, Y., and W. Song. 2019. Experimental investigation of influence factors on flame holding in a supersonic combustor. Aerosp. Sci. Technol. 85:180–86. doi:10.1016/j.ast.2018.12.002.
   Web of Science ®Google Scholar
• Yi, T., and E. J. Gutmark. 2007. Real-Time prediction of incipient lean blowout in gas turbine combustors. AIAA J. 45 (7):1734–39. doi:10.2514/1.25847.
   Google Scholar
• Zhang, T., J. Wang, L. Qi, X. Fan, and P. Zhang. 2014. Blowout limits of cavity-stabilized flame of supercritical kerosene in supersonic combustors. J. Propuls. Power 30 (5):1161–66. doi:10.2514/1.B35120.
   Web of Science ®Google Scholar
• Zheng, H., Y. Li, and L. Cai. 2012. Research on performance of H 2 Rich blowout limit in bluff-body burner. Math. Probl. Eng. 2012:1–28. doi:10.1155/2012/298685.
   Web of Science ®Google Scholar
• Zubrilin, I. A., N. I. Gurakov, and S. G. Matveev. 2017. Lean blowout limit prediction in a combustor with the pilot flame. Energy Procedia 141:273–81. doi:10.1016/j.egypro.2017.11.105.
   Google Scholar