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Matthess, Nils; Schweich, D.; Martin, B.; Castagna, F.

doi:10.1023/a:1016695101135

Cited by 15 publications

(9 citation statements)

References 4 publications

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“…This generated a working temperature window for NO conversion simulated by this model with the variables and chemical reaction proposed. The temperature window was validated and compared with the experimental and simulation results from the literature (Matthess et al, 2001). They gave the same trend but differently in values, due to differences in variables and conditions used.…”

Section: Discussionmentioning

confidence: 99%

“…Chemical reactions: The chemical reactions taken place over the catalyst (solid phase) used in this study were based on lumped kinetic reactions extracted from Voltz et al (1973) and Matthess et al (2001). Carbon monoxide can oxidize to yield carbon dioxide by Eq.…”

Section: Heterogeneous Combustionmentioning

confidence: 99%

“…Other constants and variables used in the species balance and the energy balance in the gas and solid phases, extracted from Hayes and Kolaczkowski (1999) and Matthess et al (2001) are given in Table 4.…”

Section: Constants and Variablesmentioning

confidence: 99%

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Effects of Gas Velocity and Temperature on Nitric Oxide Conversion in Simulated Catalytic Converter

Chuepeng¹

2012

American Journal of Applied Sciences

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Problem statement: Gaseous emissions from gasoline engine such as carbon monoxide, unburned hydrocarbon and nitrogen oxides were usually reduced in three-way catalytic converter simultaneously around theoretical fuel and air combustion. Engine speed and load and other parameters were varied over a wide range of operating conditions, resulting in different exhaust gas composition and condition intake into catalytic converter. This work was studied the conversion of Nitric Oxide (NO) in exhaust gas catalytic converter affected by gas velocity and inlet temperature using numerical modeling. Approach: The simulation was based on a one-dimensional time-dependent model within a single monolith channel of the converter. Upon certain assumptions, the study was considered heterogeneous combustion reaction between gas and solid phases based on lumped kinetic reactions. In this study, constants and variables used for mass and heat transfers were dependent on gas or solid phase temperature and mole fraction. Finite difference scheme incorporated with the generated computer code was established for solving species and energy balances within gas and solid phases. Results: The NO conversion was increased with transient period in initial and reached steady state at different values. The lower inlet gas temperature was resulted in lesser NO conversion at the same inlet NO concentration and gas velocity. The light-off temperatures were up to 520 K and a sudden rise in NO conversion was from 550-605 K and decreasing onwards, generating working temperature window. NO conversion increased throughout the catalyst bed from the inlet and the conversion decreased as the gas velocity increased. Conclusion/Recommendations: Gas space velocity and gas temperature intake to the converter affected the NO conversion over the time and the axial distance from the catalyst bed inlet. The numerical results have summarily demonstrated a good approximation compared to experimental data provided in the literature. Further investigation of such effects on other gaseous components is recommended for future work

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Section: Discussionmentioning

confidence: 99%

Section: Heterogeneous Combustionmentioning

confidence: 99%

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Effects of Gas Velocity and Temperature on Nitric Oxide Conversion in Simulated Catalytic Converter

Chuepeng¹

2012

American Journal of Applied Sciences

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“…The purpose of the inhibition term is to model the occupation of active sites by the reaction progress at the catalyst surface, which retards the overall reaction rates. The inhibition term G shown in the denominators of the rate equations in Table was proposed by Voltz et al and is widely used in the modeling of catalytic reactions in three-way catalysts and diesel oxidation catalysts …”

Section: Methodsmentioning

confidence: 99%

Feasibility Study on the Use of Artificial Neural Networks to Model Catalytic Oxidation in a Metallic Foam Reactor

Woo

Stettler

2021

Ind. Eng. Chem. Res.

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This study investigates the feasibility of using artificial neural networks (ANNs) to predict catalytic oxidation in diesel after-treatment systems and compares their performance to that of physics-based models. Existing physics models are revisited to generate baseline data for binary reactions of major species (CO, C 3 H 6 , and NO) measured in a lab-scale microreactor comprising a metallic foam catalytic substrate. The physics model performs well to predict the measured light-off curves, which are the species conversions with ramping temperature, and the R 2 value is above 0.84 across a wide range of operating conditions. However, the model cannot perfectly capture the retarding trends observed in the CO and C 3 H 6 conversion curves after light-off. In contrast, the ANN model is capable of accurately predicting the light-off curves for operating conditions seen during the training process. This might be practically useful but is inherently limited by the availability of experimental data for training. To compensate for the drawbacks of both approaches, this study suggests a hybrid model in which a pretrained ANN is used to calculate reaction rates in the physics models. Despite the more complex data generation process for training ANNs, the hybrid model captures the light-off curves including the retarding trend and is less sensitive to the range of test conditions without renormalization as compared to the pure ANN model. This study investigates the feasibility of ANNs by comparing the pros and cons among the physics models, pure ANN, and hybrid models and suggests a step toward the most appropriate uses of ANNs in modeling exhaust after-treatment in practical applications.

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“…The minimum number of reaction equations needed to describe the chemical reactions taking place in the TWC is assumed, as proposed by Matthess et al [9], to be:…”

Section: Models In Sikatmentioning

confidence: 99%

Modeling of Catalytic Exhaust Aftertreatment Systems: From Laboratory Reactor Data to Successful Prediction of Emissions From Vehicles

Ekström¹,

Wallin²,

Fathali³

et al. 2009

Top Catal

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Complete driving cycle emissions from vehicles have been simulated, using the in-house code SiKat. Analysis of vehicle test results, with respect to test-to-test variations, reveals the emission levels due to various aftertreatment configurations. Careful layout of laboratory reactor experiments provides accurate data for tuning of the model, which is used to predict the oxygen storage capacity of the catalyst and the NO x -emissions as a function of aging during the useful life of the vehicle.

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Untitled

Cited by 15 publications

References 4 publications

Effects of Gas Velocity and Temperature on Nitric Oxide Conversion in Simulated Catalytic Converter

Effects of Gas Velocity and Temperature on Nitric Oxide Conversion in Simulated Catalytic Converter

Feasibility Study on the Use of Artificial Neural Networks to Model Catalytic Oxidation in a Metallic Foam Reactor

Modeling of Catalytic Exhaust Aftertreatment Systems: From Laboratory Reactor Data to Successful Prediction of Emissions From Vehicles

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