Advanced Modeling of Diesel Particulate Filters to Predict Soot Accumulation and Pressure Drop

Cozzolini, Alessandro; Mulone, Vincenzo; Abeyratne, Prabash; Littera, Daniele; Gautam, Mridul

doi:10.4271/2011-24-0187

Cited by 9 publications

(16 citation statements)

References 27 publications

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“…Recently Mulone et al [39] extended this work further by developing a fully analytical wall filtration model opposed to classical wall representation by slabs. The analytical approach presented in [39] was developed further by Cozzolini et al [40] where layer collection mechanism and wall filtration have been linked together taking into account the soot layer thickness, similarly to what was presented by Mohammed et al [6].…”

Section: Wall Filtration Modelmentioning

confidence: 99%

“…The experimental data [39,40] that was used to validate the developed DPF model was collected at the Engine and Emissions Research Laboratory (EERL) at West Virginia University. Details of the experimental equipment and procedures are described in published papers Mulone et al [39] and Cozzolini et al [40]. A very brief description [39,40] of the engine and exhaust aftertreatment system is given below.…”

Section: Instrumentation and Laboratory Setupmentioning

confidence: 99%

“…Details of the experimental equipment and procedures are described in published papers Mulone et al [39] and Cozzolini et al [40]. A very brief description [39,40] of the engine and exhaust aftertreatment system is given below.…”

Section: Instrumentation and Laboratory Setupmentioning

confidence: 99%

“…Engine speed and torque characteristics of the evaluated FTP cycle is illustrated in Figure 5.1 along with exhaust flow rate, PM concentration, exhaust gas species concentrations (NO x /O 2 ) and CPF inlet temperature. Table 5.6 provides the averaged engine out brake specific emissions over the two FTP cycles [40].…”

Section: Instrumentation and Laboratory Setupmentioning

confidence: 99%

“…The experimental results reflected in this study were obtained with an aged CPF; hence, the author did not have access to some key initial DPF parameters such as wall permeability and existing soot layer thickness along the channel before running the first test cycle. Thus, the previously validated 1-D model [40] was used to determine these parameters using a process called virtual conditioning.…”

Section: Chaptermentioning

confidence: 99%

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A Two Dimensional Numerical Soot Model for Advanced Design and Control of Diesel Particulate Filters

Abeyratne¹

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Section: Wall Filtration Modelmentioning

confidence: 99%

Section: Instrumentation and Laboratory Setupmentioning

confidence: 99%

Section: Instrumentation and Laboratory Setupmentioning

confidence: 99%

Section: Instrumentation and Laboratory Setupmentioning

confidence: 99%

Section: Chaptermentioning

confidence: 99%

See 3 more Smart Citations

A Two Dimensional Numerical Soot Model for Advanced Design and Control of Diesel Particulate Filters

Abeyratne¹

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Research on particulate filter simulation and regeneration control strategy

Liu

2017

Mechanical Systems and Signal Processing

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A methodology for estimating the permeability of a soot deposit in a wall-flow diesel particulate filter

Wang¹

2014

Proceedings of the Institution of Mechanical Engineers, Part D:

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An estimation of the realistic permeability of a soot deposit layer accumulated in a wall-flow diesel particulate filter was performed in this study. A unique contribution of this work is that the current methodology is highly applicable to the real-world design and development processes of diesel particulate filters. To conduct baseline simulation, a onedimensional numerical model describing the behaviours of the exhaust gas and soot within a diesel particulate filter was constructed, employing the well-known single-channel approach. On the basis of this in-house model, the microstructural properties of a soot deposit layer were calibrated by finding the best fit to the measurement data adopted from the open literature. For the optimal applicability of the proposed methodology, the permeability of the deposit is modelled as a variable which depends on the temperature and the average wall velocity, while the porosity is constant. The current model and methodology were validated by comparison with the measurement data for pressure drops through diesel particulate filters. In particular, to boost the practical implementation of the current methodology, a map of the permeability of the soot deposit was created as a function of the operating conditions. In the last part of this study, the pressure drop characteristics through a diesel particulate filter under various operating conditions were examined using an analysis of the breakdown of the individual pressure drop mechanisms.

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Advanced Modeling of Diesel Particulate Filters to Predict Soot Accumulation and Pressure Drop

Cited by 9 publications

References 27 publications

A Two Dimensional Numerical Soot Model for Advanced Design and Control of Diesel Particulate Filters

A Two Dimensional Numerical Soot Model for Advanced Design and Control of Diesel Particulate Filters

Research on particulate filter simulation and regeneration control strategy

A methodology for estimating the permeability of a soot deposit in a wall-flow diesel particulate filter

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