Predicting Diesel Particulate Filter Performance. DCL R&D Progress Report Adhoc/Deep Conference 1997
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1 Predicting Diesel Particulate Filter Performance DCL R&D Progress Report Adhoc/Deep Conference 1997
2 Introduction Diesel Particulate Filter Effective for Reduction of DPM Requires Careful Study of Each Application Computer Model Effective Tool for Predicting DPF Performance Diesel Particulate Filter Performance - John Muter / DCL 2
3 Outline Physical Description Operational Description Model Concept Results Diesel Particulate Filter Performance - John Muter / DCL 3
4 Description Ceramic Matrix SiC or Corderite Alternately Blocked Channels Wall Flow Device Diesel Particulate Filter Performance - John Muter / DCL 4
5 History Excellent Filtration Efficiency Application Sensitive Inconsistent Field Experiences Diesel Particulate Filter Performance - John Muter / DCL 5
6 History Excellent Filtration Efficiency Application Sensitivity Inconsistent Field Experiences Requirement: Accurate Identification of Possible Applications Requirement: Accurate Selection of DPF Diesel Particulate Filter Performance - John Muter / DCL 6
7 Filter Operation Direct Interception & Brownian Diffusion Filtration Mechanisms Conditional Combustion of Soot (Regeneration) Diesel Particulate Filter Performance - John Muter / DCL 7
8 Modes of Operation Accumulation Regeneration Diesel Particulate Filter Performance - John Muter / DCL 8
9 Regeneration Regeneration: Combustion of Soot Regeneration Limit: Combustion Decreases Trapped Mass of Soot Regeneration Event: Rapid Combustion Significantly Reduces Amount of Soot in Filter Problem: Predict Regeneration Diesel Particulate Filter Performance - John Muter / DCL 9
10 Possible Decision Making Tools Arbitrary Sizing Rule Threshold Temperature Rule Engine-Dynamometer Simulation Computer Modeling Diesel Particulate Filter Performance - John Muter / DCL 10
11 Model Goals Improved Accuracy Extended Range of Applications Inexpensive Operation Comparison of Different Technologies Diesel Particulate Filter Performance - John Muter / DCL 11
12 Model Description Zero or One Dimensional Heat Transfer Reaction Rate Pressure Loss dp E in, E E out, comb M in M out Diesel Particulate Filter Performance - John Muter / DCL 12
13 Model Inputs Exhaust Flow Rate DPM Concentration Oxygen Concentration Filter Characteristics Diesel Particulate Filter Performance - John Muter / DCL 13
14 Model Outputs Filter Temperature Stored Mass of DPM Filter Pressure Diesel Particulate Filter Performance - John Muter / DCL 14
15 Model Validation Heat Transfer Model Validation Temperature ( C) Outlet Calculated Inlet Measured Time (s) Diesel Particulate Filter Performance - John Muter / DCL 15
16 Model Validation Heat Transfer Model Validation Temperature ( C) Outlet Calculated Inlet Measured Outlet Measured Time (s) Diesel Particulate Filter Performance - John Muter / DCL 16
17 Model Input Model Input Temperature ( C) Time (s) Diesel Particulate Filter Performance - John Muter / DCL 17
18 Results Calculated and Measured Pressure Pressure (Pa) Meas 1 Meas 3 Meas Time (s) Diesel Particulate Filter Performance - John Muter / DCL 18
19 Results Calculated and Measured Pressure Pressure (Pa) Calc 1 Meas 1 Meas 3 Calc 3 Meas 5 Calc Time (s) Diesel Particulate Filter Performance - John Muter / DCL 19
20 Effect of Thermal Inertia Effect of Thermal Inertia Temperature (K) Tinlet Tfilter Time (s) Diesel Particulate Filter Performance - John Muter / DCL 20
21 Effect of Thermal Inertia Effect of Thermal Inertia Temperature (K) Tinlet Tfilter1 Tfilter Time (s) Diesel Particulate Filter Performance - John Muter / DCL 21
22 Summary Identification of Suitable Applications Prediction of Filter Performance Comparison of Different Technologies Improved Understanding of Filter Operation Diesel Particulate Filter Performance - John Muter / DCL 22
23 Conclusions Improved Reliability of Products Increased Range of Applications for Products Accurate Selection of Appropriate Technology Diesel Particulate Filter Performance - John Muter / DCL 23
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