Competency-based curriculum development on medical education: an introduction.

Abstract

A computationally efficient engine model is developedbased on an extended NO emission model and state-ofthe-art soot model. The model predicts exhaust NO andsoot emission for both conventional and advanced, high-EGR (up to 50 %), heavy-duty DI diesel combustion.Modeling activities have aimed at limiting thecomputational effort while maintaining a soundphysical/chemical basis. The main inputs to the modelare the fuel injection rate profile, in-cylinder pressuredata and trapped in-cylinder conditions together withbasic fuel spray information. Obtaining accurate valuesfor these inputs is part of the model validation processwhich is thoroughly described. Modeling results arecompared with single-cylinder as well as multi-cylinderheavy-duty diesel engine data. NO and soot levelpredictions show good agreement with measurementdata for conventional and high-EGR combustion withconventional timing.