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Temperature measurements of the gas-phase during surrogate diesel injection using two-color toluene LIF

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Abstract

Planar laser-induced fluorescence (LIF) of toluene has been applied in an optical engine and a high-pressure cell, to determine temperatures of fuel sprays and in-cylinder vapors. The method relies on a redshift of the toluene LIF emission spectrum with increasing temperature. Toluene fluorescence is recorded simultaneously in two disjunct wavelength bands by a two-camera setup. After calibration, the pixel-by-pixel LIF signal ratio is a proxy for the local temperature. A detailed measurement procedure is presented to minimize measurement inaccuracies and to improve precision. n-Heptane is used as the base fuel and 10 % of toluene is added as a tracer. The toluene LIF method is capable of measuring temperatures up to 700 K; above that the signal becomes too weak. The precision of the spray temperature measurements is 4 % and the spatial resolution 1.3 mm. We pay particular attention to the construction of the calibration curve that is required to translate LIF signal ratios into temperature, and to possible limitations in the portability of this curve between different setups. The engine results are compared to those obtained in a constant-volume high-pressure cell, and the fuel spray results obtained in the high-pressure cell are also compared to LES simulations. We find that the hot ambient gas entrained by the head vortex gives rise to a hot zone on the spray axis.

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Notes

  1. Note that intensifiers with higher efficiencies (around 25 %) are commercially available.

References

  1. R. Devillers, G. Bruneaux, C. Schulz, Appl. Phys. B Lasers Opt. 96, 735–739 (2009). doi:10.1007/s00340-009-3563-3

  2. C. Schulz, V. Sick, Prog. Energy Combust. Sci. 31(1), 75–121 (2005)

    Article  Google Scholar 

  3. G. Tea, G. Bruneaux, J. Kashdan, C. Schulz, Proc. Combust. Inst. 33(1), 783–790 (2011)

    Article  Google Scholar 

  4. W. Koban, J.D. Koch, R.K. Hanson, C. Schulz, Phys. Chem. Chem. Phys. 6, 2940–2945 (2004)

    Article  Google Scholar 

  5. K. Mohri, M. Luong, G. Vanhove, T. Dreier, C. Schulz, Appl. Phys. B Lasers Opt. 103, 707–715 (2011). doi:10.1007/s00340-011-4564-6

    Google Scholar 

  6. W. Koban, J. Koch, R. Hanson, C. Schulz, Appl. Phys. B Lasers Opt. 80, 147–150 (2005). doi:10.1007/s00340-004-1715-z.

    Google Scholar 

  7. F.P. Zimmermann, W. Koban, C.M. Roth, D.-P. Herten, C. Schulz, Chem. Phys. Lett. 426(46), 248–251 (2006)

    Article  ADS  Google Scholar 

  8. M. Luong, R. Zhang, C. Schulz, V. Sick, Appl. Phys. B Lasers Opt. 91, 669–675 (2008). doi: 10.1007/s00340-008-2995-5

    Google Scholar 

  9. J. Mannekutla, A. van Vliet, R. Klein-Douwel, N. Dam, H. ter Meulen, in European Combustion meeting (2011)

  10. E. Doosje, Limits of mixture dilution in gas engines. PhD thesis, Eindhoven University of Technology, 2010

  11. R.S.G. Baert, P.J.M. Frijters, B. Somers, C.C.M. Luijten, W. de Boer, SAE Technical Paper 2009-01-0649 (2009)

  12. S. Krüger, G. Grünefeld, Appl. Phys. B Lasers Opt. 69, 509–512 (1999). doi: 10.1007/s003400050844

  13. M. Luong, W. Koban, C. Schulz, J. Phys. Conf. Ser. 45(1), 133 (2006)

    Google Scholar 

  14. J. Lindén, C. Knappe, M. Richter, M. Aldén, Meas. Sci. Technol. 23(3), 035201 (2012)

    Article  ADS  Google Scholar 

  15. Semrock (2012), http://www.semrock.com/filter-spectra-at-non-normal-angles-of-incidence.aspx

  16. W. Koban, J.D. Koch, R.K. Hanson, Schulz C, Appl. Phys. B Lasers Opt. 80, 777–784 (2005). doi:10.1007/s00340-005-1769-6

  17. T.C. Williams, C.R. Shaddix, Rev. Sci. Instrum. 78(12), 123702 (2007)

    Article  ADS  Google Scholar 

  18. U. Egüz, L. Somers, C. Leermakers, L.D. Goey, Int. J. Veh. Des. 55(1), 76–90 (2011)

    Article  Google Scholar 

  19. J. Pastor, J. López, J. García, J. Pastor, Fuel 87, 2871–2885 (2008)

    Article  Google Scholar 

  20. V. Moureau, G. Lartigue, Y. Sommerer, C. Angelberger, O. Colin, T. Poinsot, J. Comput. Phys. 202(2), 710–736 (2005)

    Article  MathSciNet  ADS  MATH  Google Scholar 

  21. P. Lax, B. Wendroff, Commun. Pure Appl. Math. 13, 217–237 (1960)

    Article  MathSciNet  MATH  Google Scholar 

  22. J. Smagorinsky, Mon. Weather Rev. 91(3), 99–164 (1963)

    Article  ADS  Google Scholar 

  23. P. Février, O. Simonin, K.D. Squires, J. Fluid Mech. 533, 1–46 (2005)

    Article  MathSciNet  ADS  MATH  Google Scholar 

  24. L. Martinez, A. Benkenida, B. Cuenot, Fuel 89, 219–228 (2010)

    Article  Google Scholar 

  25. C. Bekdemir, L. Somers, L. de Goey, J. Tillou, C. Angelberger, Proc. Combust. Inst. 34(2), 3067–3074 (2013)

    Article  Google Scholar 

  26. E. Hawkes, in ECN1 workshop (2011), http://www.sandia.gov/ecn/

Download references

Acknowledgments

The authors to thank Bert van Bakel for his efforts in applying toluene LIF in the optically accessible engine. Gabrielle Tea, Gilles Bruneaux and Robin Devillers from IFPEN are kindly acknowledged for providing the spectral data. The project “Towards clean diesel engines” was funded by the Dutch Technology Foundation STW. DAF Trucks N.V., Shell Global Solutions, Wärtsilä, TNO and Delphi Diesel Systems are also acknowledged for their contributions to the project.

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Correspondence to N. J. Dam.

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R. P. C. Zegers, M. Yu contributed equally to this work.

Appendices

Appendix A: Comparison with LES

The LES code used in this study is the fully compressible AVBP solver co-developed by IFP Energies Nouvelles and CERFACS for structured and unstructured meshes [20]. The second order centred Lax–Wendroff convective scheme [21] is combined with an explicit time advancement. Unresolved subgrid-scale turbulence is modeled by a Smagorinsky model [22] with constant coefficient. The dispersed liquid phase is resolved using a mesoscopic Eulerian formalism [23]. The region close to the injector, dominated by high volumetric ratios of liquid fuel and breakup effects, is not included in the simulations. The DIturBC injector model [24] is used to bridge that region by imposing physical flow conditions at a distance approximately 10 nozzle diameters downstream of the injector outflow plane. Its principle is to impose boundary conditions for the two phase flow at a distance downstream of the injector nozzle, in regions where the flow has been dispersed by breakup phenomena and can be addressed by a diluted mesoscopic Eulerian formalism.

The LES has been run on a computational mesh which represents a closed combustion vessel with slightly larger dimensions than the HPC (1123 versus 1083 mm3). It consists of a tetrahedral mesh with local refinement. The mesh size near the nozzle exit is 80 μm and gradually increases to 800 μm toward the other end of the domain, yielding approximately 0.7 million nodes and 4.3 million cells. All boundaries, except for the injection plane, are taken as adiabatic walls which have negligible influence on the spray internal structure. This mesh has been chosen on the basis of spray formation results presented in [25].

The simulated spray penetration is compared to the measured one. The fuel vapor penetration in the LES is taken at the point in space where the mass fraction of the fuel is Y fuel = 0.001, as defined in the first Engine Combustion Network workshop [26]. For the experiments, the vapor edge is clearly visible and determined visually. The spray penetration length of a single LES and one experiment are shown in Fig. 21. The first measured point in time (t 0 = 0.58 ms) is fixed on the LES penetration. Subsequently, this is taken as a reference for all other measured points. The error bar of the point at 2.08 ms is defined from the minimum and maximum values from the 9 measurements. Figure 21 shows a good agreement between the experiments and the LES.

Fig. 21
figure 21

Spray length as function of injection time

The results of the LES are also given in Fig. 19; velocity vectors are colored with the corresponding temperature at that point. Furthermore, the contour of the fuel spray (Y fuel = 0.001) is indicated with the solid black line. The LES results reveal heavy mixing in a pulsating fashion due to spray-induced vortices at the edge, resulting in hot spots of ambient air enclosed in the spray core region. The LES predicts temperatures in the order of 500 K for the inner spray areas, whereas the experimental results are much closer to the ambient condition of 590 K. Possible reasons might be the averaging effect in the experiment due to the laser thickness.

Appendix B: Data processing

The complete data processing procedure includes removing background, spatial alignment, flat-field correction, ratio calculation and converting to temperature distribution. Suppose we obtain an image pair, of which I r(xy) is the pixel intensity of the “red” part of the spectrum (320 nm) at position xy and I b(xy) is the pixel intensity of the “blue” part of the spectrum (280 nm). In the case of a one-side configuration, the data correction procedure for both images can be expressed as:

$$ I_{\rm r,corr}(x,y)= (I_{\rm r}(x,y)-B_{\rm r}(x,y))\,{\rm TR}(x,y)\, F_{\rm r}(x,y) $$
(1)

and

$$ I_{\rm b,corr}(x,y)= (I_{\rm b}(x,y)-B_{\rm b}(x,y))\, F_{\rm b}(x,y), $$
(2)

where B(xy) is the background signal, TR(xy) the spatial transformation matrix and F(xy) is the flat-field matrix. In case of opposite configuration, the data processing procedure can be expressed as:

$$ I_{\rm r,corr}(x,y)= (I_{\rm r}(x,y)-B_{\rm r}(x,y))\,{\rm TR}(x,y)\, C_{\rm r}(x,y) $$
(3)

and

$$ I_{\rm b,corr}(x,y)= (I_{\rm b}(x,y)-B_{\rm b}(x,y)), $$
(4)

where the major difference is the relative flat-fielding matrix C r(xy). To only present temperature regions, which have reasonable accuracy, pixels with less than 300 counts are neglected because of the low signal-to-noise ratio. The temperature distribution can be obtained with the calibration relation.

$$ T(x,y)= T(R(x,y)) = T\left(\frac{I_{{\rm r},2}(x,y)}{I_{{\rm b},2}(x,y)}\right){\rm BS}\,(x,y), $$
(5)

where R(xy) is the LIF ratio distribution and BS(xy) is the correction for the beam splitter, which is only used in one-side configuration of the HPC experiments.

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Zegers, R.P.C., Yu, M., Bekdemir, C. et al. Temperature measurements of the gas-phase during surrogate diesel injection using two-color toluene LIF. Appl. Phys. B 112, 7–23 (2013). https://doi.org/10.1007/s00340-013-5387-4

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