Turbulent operation of diesel oxidation catalysts for improved removal of particulate matter

Ström, Henrik; Sasic, Srdjan; Andersson, Bengt

doi:10.1016/j.ces.2011.10.043

Cited by 9 publications

(2 citation statements)

References 41 publications

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“…where k c is the mass-transfer coefficient (m/s), τ is the retention time in the duct (s), and d h is the hydraulic diameter of the duct (m) [14].…”

Section: Theorymentioning

confidence: 99%

Numerical Assessment of Flow Pulsation Effects on Reactant Conversion in Automotive Monolithic Reactors

2022

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Highly transient engine-out emissions imply significant challenges for the optimization and control of automotive aftertreatment systems, motivating studies of the effects of flow pulsations on the system behavior. In this work, an axisymmetric aftertreatment system with a first-order reaction in the monolith section is chosen to demonstrate the role of pulsations on the time-averaged conversion at the exit. Reactive computational fluid dynamics simulations under transient conditions are performed by applying the SST k-ω turbulence model along with a reactant species balance equation and a porous medium description of the catalyst. Four different types of temporal velocity variations (constant, step-like, sawtooth and sinusoidal) are applied at the inlet. Additionally, the corresponding fluctuations driven by a prescribed inlet pressure are also investigated. It was found that the fluctuations in the incoming flow affect the transient response of the monolith, the time-averaged conversion, the evolution of the flow uniformity index and the dispersion downstream of the catalyst. It is also shown that the retention time distribution is modulated by the pulsations and that the mixed-cup conversion span is different for geometrically identical systems having the same velocity span if the fluctuation characteristics are different. In conclusion, simulations of phenomena that depend on time-resolved boundary conditions from experiments require proper characterization of fluctuations present in the real-world systems; otherwise, the method of recreating the signal at the boundary may influence the obtained results.

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“…where k c is the mass-transfer coefficient (m/s), τ is the retention time in the duct (s), and d h is the hydraulic diameter of the duct (m) [14].…”

Section: Theorymentioning

confidence: 99%

Numerical Assessment of Flow Pulsation Effects on Reactant Conversion in Automotive Monolithic Reactors

2022

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View full text Add to dashboard Cite

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“…This practical limitation can be overcome by maximising the efficiency of mass transport inside the porous microstructure, but the transport mechanisms that contribute to high conversion and power output of electrodes are still not well understood. The complex interaction between macroscopic output and microscopic fluid-dynamic phenomena has been traditionally described via empirical correlations and measured mass-transfer coefficients (Schmal, Van Erkel & Van Duin 1986;Ström, Sasic & Andersson 2012). The physical link with microstructural material characteristics and coupled reactive-transport phenomena is still a matter of debate; see e.g.…”

Section: Solute Transport and Reaction In Porous Electrodesmentioning

confidence: 99%

Solute transport and reaction in porous electrodes at high Schmidt numbers

et al. 2020

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Porous Medium Model in Computational Fluid Dynamics Simulation of a Honeycombed SCR DeNOx Catalyst

2015

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The commercial computational fluid dynamics software FLUENT was used to simulate the flow and chemical reaction process of a honeycombed SCR DeNOx catalyst. In the calculation model, the porous medium model was applied to describe the wall body region of the honeycombed catalyst and the ordinary flow model in order to define the honeycombed channel region. From the comparison between the two gas diffusion rates within catalyst pore structure and gas medium, their effects on the SCR DeNOx reaction rate were analyzed. A correction factor of the chemical reaction rate was created to modify the porous medium model in order to accurately calculate the chemical reaction process of the catalyst model. The study results indicated that the combination between porous medium model and reaction rate correction factor could compensate the deviation of calculated reaction rate and the interfacial diffusion problems.

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Turbulent operation of diesel oxidation catalysts for improved removal of particulate matter

Cited by 9 publications

References 41 publications

Numerical Assessment of Flow Pulsation Effects on Reactant Conversion in Automotive Monolithic Reactors

Numerical Assessment of Flow Pulsation Effects on Reactant Conversion in Automotive Monolithic Reactors

Solute transport and reaction in porous electrodes at high Schmidt numbers

Porous Medium Model in Computational Fluid Dynamics Simulation of a Honeycombed SCR DeNOx Catalyst

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