Effect of low initial pressures on ignition properties of lean and rich n-decane/air mixtures for laser-induced breakdown

References

• Bernard, S., Lebecki, K., Gillard, P., Youinou, L., and Baudry, G. 2010. Statistical method for the determination of the ignition energy of dust cloud-experimental validation. J. Loss Prev. Process. Industries, 23, 404.
   Web of Science ®Google Scholar
• Bradley, D., Sheppard, C.G.W., Suardjaja, I.M., and Wooley, R. 2004. Fundamentals of high-energy spark ignition with lasers. Combus. Flame, 138, 55.
   Web of Science ®Google Scholar
• Brooks, H., and Tucker, N. 2015. Electrospinning predictions using artificial neural networks. Polymer, 58, 22.
   Web of Science ®Google Scholar
• DeMichelis, C. 1969. Laser induced gas breakdown: a bibliographical review. IEEE J. Quant. Electron., 5(4), 188.
   Web of Science ®Google Scholar
• EASA. 2015) Certification memorandum: turbine engine relighting in flight. Report EASA CM No.: CM-PIFS-010 Issue 01.
   Google Scholar
• El-Rabii, H., Zähringer, K., Rolon, J.C., and Lacas, F. 2004. Laser ignition in a lean premixed prevaporized injector. Combus. Sci. Technol., 176, 1391.
   Web of Science ®Google Scholar
• Langlie, H.J. 1962. A reliability test method for one shot items. Publication n_U. 1792. Ford Motor Company Aeronut.
   Google Scholar
• Levenberg, K. 1944. A method for the solution of certain problems in least squares. Q. Appl. Math., 2, 164.
   Google Scholar
• Luján, J.M., Climent, H., García-Cuevas, L.M., and Moratal, A. 2017. Volumetric efficiency modelling of internal combustion engines based on a novel adaptative learning algorithm of artificial neural networks. Appl. Thermal Eng., 123, 625.
   Web of Science ®Google Scholar
• Marquardt, D. 1963. An algorithm for least-squares estimation of nonlinear parameters. SIAM J. Appl. Math., 11, 431.
   Web of Science ®Google Scholar
• Mendys, A., Dzierzega, K., Grabiec, M., Pellerin, S., Pokrzywka, B., Travaillé, G., and Bousquet, B. 2011. Investigations of laser-induced plasma in argon by Thomson scattering. Spectro. Acta Part. B, 66, 691.
   Web of Science ®Google Scholar
• Mulero, Á., Pierantozzi, M., Cachadiña, I., and Di Nicola, G. 2017. An artificial neural network for the surface tension of alcohols. Fluid Phase Equilib., 449, 28.
   Web of Science ®Google Scholar
• O’Briant, S.A., Gupta, S.B., and Vasu, S.S. 2016. Review: laser ignition for aerospace propulsion. Propul. Power Res., 5(1), 1.
   Web of Science ®Google Scholar
• Pal, A., and Agarwal, A.K. 2015. Comparative study of laser ignition and conventional electrical spark ignition systems in a hydrogen fuelled engine. Int. J. Hydrogen Energy, 40(5), 2386.
   Web of Science ®Google Scholar
• Phuoc, T.X., and White, F.P. 1999. Laser-induced spark ignition of CH4/Air mixtures. Combus. Flame, 119, 203.
   Web of Science ®Google Scholar
• Rudz, S., Chetehouna, K., Strozzi, C., and Gillard, P. 2014. Minimum ignition energy measurements for α-Pinene/Air mixtures. Combus. Sci. Technol., 186(10–11), 1597.
   Web of Science ®Google Scholar
• Rudz, S., Tadini, P., Berthet, F., and Gillard, P. 2017. Effect of low initial pressures on ignition properties of lean n-decane/air mixtures for laser-induced breakdown. 26th ICDERS, Boston USA, 30th-July – 4th August 2018.
   Google Scholar
• Settles, G.S. 2001. Schlieren and Shadowgraph Techniques, Springer-Verlag Berlin, Heidelberg.
   Google Scholar
• Srivastava, D.K., Dharamshi, K., and Agarwal, A.K. 2011. Flame kernel characterization of laser ignition of natural gas-air mixture in a constant volume combustion chamber. Opt. Lasers Eng., 49, 1201.
   Web of Science ®Google Scholar
• Starikovskaia, S.M. 2006. Plasma assisted ignition and combustion. J. Phys. D, 39(16), 0–12.
   Google Scholar
• Thiyagarajan, M., and Thompson, S. 2012. Optical breakdown threshold investigation of 1064 nm laser induced air plasmas. J. Appl. Phys., 111, 073302.
   Web of Science ®Google Scholar
• von der Bank, R., Donnerhack, S., Rae, A., Poutriquet, F., Lundbladh, A., and Schweinberger, A. 2015. Advanced core engine technologies assessment & validation. Proceedings of 11th European Conference on Turbomachinery Fluid dynamics & Thermodynamics ETC11, Madrid, Spain, March 23–27.
   Google Scholar
• Weckering, J. 2011. Development of numerical modeling methods for prediction of ignition processes in aero-engines. PhD Thesis, Technische Universität Darmstadt.
   Google Scholar
• Weinrotter, M., Kopecek, H., Tesch, M., Wintner, E., Lackner, M., and Winter, F. 2005b. Laser ignition of ultra-lean methane/hydrogen/air mixtures at high temperature and pressure. Exp. Thermal Fluid Sci., 29, 569.
   Web of Science ®Google Scholar
• Weinrotter, M., Kopecek, H., Wintner, E., Lackner, M., and Winter, F. 2005a. Application of laser ignition to hydrogen-air mixtures at high pressures. Int. J. Hydrogen Energy, 30, 319–326.
   Web of Science ®Google Scholar
• Xu, C., Fang, D., Luo, Q., Ma, J., and Xie, Y. 2014. A comparative study of laser ignition and spark ignition with gasoline–air mixtures. Opt. Laser Technol., 64, 343.
   Web of Science ®Google Scholar
• Zwillinger, D. 2003. CRC Standard Mathematical Tables and Formulae, CRC Press:Boca Raton, Fl, USA.
   Google Scholar