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Kalyankar, Apoorv
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CFD Modeling of Tailpipe NOx Sensor Accuracy

SAE International Journal of Engines

Cummins Emission Solutions-Apoorv Kalyankar, Achuth Munnannur, Z. Gerald Liu
  • Journal Article
  • 03-11-04-0029
Published 2018-08-08 by SAE International in United States
In a modern diesel aftertreatment system, a sensor for nitrogen oxides (NOx) placed downstream of the selective catalytic reduction (SCR) catalyst is necessary to determine if the tailpipe NOx concentration remains below the applicable On-board diagnostic (OBD) threshold. Typically the same NOx sensor also provides feedback to the dosing control module to adjust diesel exhaust fluid (DEF) dosing rate thereby controlling tailpipe NOx and ammonia emissions. However, feedback signal sent by the tailpipe NOx sensor may not always be accurate due to reasons including non-uniformity in NOx and ammonia distributions at SCR outlet. Flow based metrics from computational fluid dynamics (CFD) analyses, that are typically used to qualitatively assess NOx sensor accuracy in different designs are often inadequate. In this work, an improved CFD analysis procedure has been developed for assessing NOx sensor accuracy. This approach enables a direct comparison of NOx sensor accuracy between different sampling probe and sensor designs. This improved modeling approach was first validated against test data without spray effects by injecting gaseous NOx in a 5″ pipe. The impact of…
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Predictive Modeling of Impact of ANR Non-Uniformity on Transient SCR System DeNOx Performance

Cummins Emission Solutions-Apoorv Kalyankar, Achuth Munnannur, Z. Gerald Liu
Published 2015-04-14 by SAE International in United States
Selective catalytic reduction (SCR) is a promising technology for meeting the stringent requirements pertaining to NOx emissions. One of the most important requirements to achieve high DeNOx performance is to have a high uniformity of ammonia to NOx ratio (ANR) at the SCR catalyst inlet. Steady state 3D computational fluid dynamics (CFD) models are frequently used for predicting ANR spatial distribution but are not feasible for running a transient cycle like Federal Test Procedure (FTP). On the other hand, 1D kinetic models run in real time and can predict transient SCR performance but do not typically capture the effect of non-axial non-uniformities. In this work, two 3D to 1D coupling methods have been developed to predict transient SCR system performance, taking the effect of ANR non-uniformity into account. First is a probability density function (PDF) based approach and the second is a geometrical sector based approach. Steady state 3D CFD spray simulations are run under multiple test points and the effect of varying ANR uniformity index (UI) is taken into account adaptively while running transient…
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