1D Modeling Approach for Prediction of Heat Transfer in Exhaust Aftertreatment System and Sensors Module

Abstract

<div class="section abstract"><div class="htmlview paragraph">The study of temperature distribution and heat transfer over non-uniform geometry is of great importance to engineers because of universal occurrence in many engineering applications such as diesel engine, boilers, heaters, radiators, dosers, etc. Performance of engine and its components (mechanical and electronic) is highly depending upon efficient thermal management. An accurate heat transfer analysis is necessary in automotive application and power plant. This study presents one dimensional model for prediction of conjugate heat transfer in Aftertreatment system and Sensors Module (Nox Sensor, PM Sensor, EGTS etc..) for diesel engine. Three-dimensional conductive, convective and radiative thermal analysis is computationally expensive as underhood models are of complex shape in nature and total turnaround time for product development project is also significantly high. Hence 1-D analysis has great importance in any automobile industry for prediction of heat loss and skin temperature. Nowadays numerical flow & heat transfer prediction has reached to the acceptable band of requirement of engineering using commercial 1D software like MATLAB & Simulink. Efforts are made to explain the physics of dominant mode of heat transfer from basic principles of natural convection, conjugate heat transfer & radiation (i.e.) Regression based model was developed by conducting Design of Experiments through CFD and results are validated with experimental data. Validation of CFD result with experimental data depends upon various parameters (Modeling strategy, mesh scheme, solution scheme, convergence, etc.) Flow and Thermal boundary layer, wall effect, effect of recirculation, flow separation and other parameters need to be captured accurately. Some correlation was developed between skin temperature and critical parameters then implemented in 1-D modeling analysis.</div></div>