Some Empirical Observations on Diesel Particulate Filter Modeling and Comparison Between Simulations and Experiments

Comparisons between 1D simulations and experiments on a mini scale SiC filter are presented. First of all, experiments with regeneration for different loading mass and soot composition enabled us to derive an improved pressure drop correlation. The assumption of constant particulate layer permeability proves unable to predict the influence of the gas temperature on the pressure drop. This discrepancy seems to be linked to the high Knudsen number of the flow in the particulate layer. A new correlation is proposed. This correlation contains four adjustable constants which have been determined on a single experimental run. Without modifying these constants, other cases have been correctly simulated. Obviously, more work is needed to substantiate this approach. In a second step, regenerations with and without additive (Cerium) for two different soot compositions have been simulated and compared with experimental results. Soluble Organic Fraction vaporization has to be taken into account to obtain the right soot mass when regeneration begins. The experimental trend is well captured by numerical simulations.

[1]  Edward J. Bissett,et al.  Mathematical model of the thermal regeneration of a wall-flow monolith diesel particulate filter , 1984 .

[2]  W. E. Ibele,et al.  The effect of temperature on the permeability of a porous material , 1987 .

[3]  Anastassios M. Stamatelos,et al.  Modeling Catalytic Regeneration of Wall-Flow Particulate Filters , 1996 .

[4]  P. Carman Diffusion and flow of gases and vapours through micropores I. Slip flow and molecular streaming , 1950, Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences.

[5]  O. Salvat,et al.  Passenger Car Serial Application of a Particulate Filter System on a Common Rail Direct Injection Diesel Engine , 2000 .

[6]  Jianxin Ma,et al.  Study on regeneration of diesel particulate filter using a laboratory reactor , 1990 .

[7]  Hiroshi Aoki,et al.  Numerical Simulation Model for the Regeneration Process of a Wall-Flow Monolith Diesel Particulate Filter , 1993 .

[8]  John H. Johnson,et al.  The Measurement and Analysis of the Physical Character of Diesel Particulate Emissions , 1976 .

[9]  John H. Johnson,et al.  A Study of the Regeneration Process in Diesel Particulate Traps Using a Copper Fuel Additive , 1996 .

[10]  Anastassios M. Stamatelos,et al.  Computer Aided Engineering in the Design of Catalytically Assisted Trap Systems , 1997 .

[11]  Grigorios C. Koltsakis,et al.  Modes of Catalytic Regeneration in Diesel Particulate Filters , 1997 .

[12]  S. Kuwabara,et al.  The Forces experienced by Randomly Distributed Parallel Circular Cylinders or Spheres in a Viscous Flow at Small Reynolds Numbers , 1959 .

[13]  Grigorios C. Koltsakis,et al.  Modeling thermal regeneration of wall‐flow diesel particulate traps , 1996 .

[14]  Per Stobbe,et al.  Flow characteristics of SIC diesel particulate filter materials , 1994 .

[15]  Farhang Shadman,et al.  Thermal regeneration of diesel-particulate monolithic filters , 1985 .

[16]  L. D. Reed,et al.  Pressure drop across packed beds in the low Knudsen number regime , 1978 .