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In this paper, a sectional soot model coupled to a tabulated combustion model is compared with measurements from an experimental engine database. The sectional soot model, based on the work of Vervisch-Klakjic (Ph.D. thesis, Ecole Centrale Paris, Paris, 2011) and Netzell et al. (P. Combust. Inst., 31(1):667-674, 2007), has been implemented into IFPC3D (Bohbot et al., Oil Gas Sci Technol, 64(3):309-335, 2009), a 3D RANS solver. It enables a complex modeling of soot particles evolution, in a 3D Diesel simulation. Five distinct source terms are applied to each soot section at any time and any location of the flow. The inputs of the soot model are provided by a tabulated combustion model derived from the Engine Approximated Diffusion Flame (EADF) one (Michel and Colin, Int. J. Engine Res., 2013) and specifically modified to include the minor species required by the soot model.

A storage/retrieval scheme - in situ adaptive tabulation (ISAT) [1] - is used to implement detailed chemistry in a multidimensional engine CFD code. The emphasis is on predicting autoignition in nearly homogeneous and moderately non-homogeneous mixtures (HCCI); preliminary results for highly non-homogeneous direct-injection autoignition also are reported. Speedups approaching a factor of 100 have been realized with ISAT compared to direct integration of the chemical source terms; factors of five-to-ten are more readily obtainable. In the standard ISAT method, table size increases as the square of the number of chemical species in the reaction mechanism; here linear scaling is achieved by limiting the set of independent tabulation variables, while still retaining the full chemical mechanism. A key to effective use of storage/retrieval is judicious specification of the control parameters; guidelines for parameter specification are presented.