A forward approach for the validation of soot size models using LII
While validating the numerical modeling of the primary particle size distribution (PPSD) in sooting flames, a common practice is to compare the numerical results to the corresponding experimental data obtained with the Time-Resolved Laser-Induced Incandescence (TiRe-LII) technique. Since the PPSD is...
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Veröffentlicht in: | Applied physics. B, Lasers and optics Lasers and optics, 2020 |
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Sprache: | eng |
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Zusammenfassung: | While validating the numerical modeling of the primary particle size distribution (PPSD) in sooting flames, a common practice is to compare the numerical results to the corresponding experimental data obtained with the Time-Resolved Laser-Induced Incandescence (TiRe-LII) technique. Since the PPSD is not directly measured by TiRe-LII, but derived with a post-processing procedure, various uncertainties and errors can potentially affect the consistency of such comparison requiring the estimation of many input parameters. On the contrary, nowadays detailed numerical simulations provide access to a more complete set of data, which can be used Send offprint requests to: 2 Agnes L. Bodor et al. to reconstruct the incandescence signal. In this work, a forward approach for the generic validation of numerical models for the PPSD is performed. It is based on the numerical reconstruction of the temporal evolution of the incandescence from the numerical results and its comparison with the measured signal. First, two indexes are proposed to quantify the agreement between the numerically synthesized and the measured signals. Then, the effectiveness of the proposed approach is demonstrated a priori by quantifying the potential errors that can be avoided with this new strategy compared to the classical approach. Finally, the feasibility of the proposed procedure is proven by comparing synthesized signals to the experimental ones available in literature for a laminar premixed flame. It is shown that the proposed approach can be used to strengthening the analysis on numerical model performances, additionally to the classical approach. |
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ISSN: | 0946-2171 1432-0649 |
DOI: | 10.1007/s00340-020-7383-9 |