Modeling laser-induced incandescence of soot: A summary and comparison of LII models

TitleModeling laser-induced incandescence of soot: A summary and comparison of LII models
Publication TypeJournal Article
Year of Publication2007
AuthorsMichelsen, HA, Liu, F, Kock, BF, Bladh, H, Boiarciuc, A, Charwath, M, Dreier, T, Hadef, R, Hofmann, M, Reimann, J, Will, S, Bengtsson, P-E, Bockhorn, H, Foucher, F, Geigle, KP, Mounaïm-Rousselle, C, Schulz, C, Stirn, R, Tribalet, B, Suntz, R
Journal TitleApplied Physics B
Volume87
Pages503-521
Start Page503
Abstract

<p>&nbsp;</p><!--StartFragment--><p><span style="font-size:12.0pt;font-family:Times;
mso-ansi-language:EN-US;mso-fareast-language:EN-US">We have performed a comparison of ten models that predict the temporal behavior of laser-induced incandescence (LII) of soot.<span style="mso-spacerun: yes">&nbsp; </span>In this paper we present a summary of the models and comparisons of calculated temperatures, diameters, signals, and energy-balance terms.<span style="mso-spacerun:
yes">&nbsp; </span>The models were run assuming laser heating at 532 nm at fluences of 0.05 and 0.70 J/cm<sup>2</sup> with a laser temporal profile provided.<span style="mso-spacerun: yes">&nbsp; </span>Calculations were performed for a single primary particle with a diameter of 30 nm at an ambient temperature of 1800 K and pressure of 1 bar.<span style="mso-spacerun:
yes">&nbsp; </span>Preliminary calculations were performed with a fully constrained model.<span style="mso-spacerun: yes">&nbsp; </span>The comparison of unconstrained models demonstrates a wide spread in calculated LII signals.<span style="mso-spacerun: yes">&nbsp; </span>Many of the differences can be attributed to the values of a few important parameters, such as the refractive index function <i>E</i></span><span style="font-size:12.0pt;
font-family:Times;mso-ansi-language:EN-US;mso-fareast-language:EN-US">(<i>m</i></span><span style="font-size:12.0pt;font-family:Times;mso-ansi-language:EN-US;mso-fareast-language:
EN-US">) and thermal and mass accommodation coefficients.<span style="mso-spacerun: yes">&nbsp; </span>Constraining these parameters brings most of the models into much better agreement with each other, particularly for the low-fluence case.<span style="mso-spacerun: yes">&nbsp; </span>Agreement among models is not as good for the high-fluence case, even when selected parameters are constrained.<span style="mso-spacerun: yes">&nbsp; </span>The reason for greater variability in model results at high fluence appears to be related to solution approaches to mass and heat loss by sublimation.</span></p><!--EndFragment-->

DOI10.1007/s00340-007-2619-5
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