Empirical model to predict melt volume for different range of diesel exhaust fluid tank volumes used in selective catalytic reduction systems

摘要

Highlights?Empirical model found for melt fraction prediction for vertical & helical heaters.?Dimensionless number range found valid for Diesel Exhaust Fluid application.?DEF melt volume prediction is within 12% error band for vertical heater arrangement.?DEF melt volume prediction is within 14% error band for helical heater arrangement.AbstractTechnologies such as Selective Catalytic Reduction (SCR) assists in complying with diesel emission limits for NOx. Diesel Exhaust Fluid (DEF) which is an aqueous urea solution plays an important role in SCR systems. DEF freezes at approximately ?11?°C due to which it becomes a challenge to meet regulations which state that, NOx emissions must be under regulatory limits within 70 min of engine starting. Hence, it is important to ensure DEF melts within stipulated time so that the system is ready to reduce engine out NOx. Prediction of melt volume is an important performance parameter used to compare different DEF tank designs. In this paper, empirical models are identified from various studies done in the past and selection of suitable models for wide range of SCR applications is done. Models were selected which predicts melt volume w.r.t time for vertical heating arrangements for different tank sizes, aspect ratios and shapes i.e. rectangular and cylindrical enclosures used worldwide. This empirical model is compared with experiment data and also with previous literature to understand its robustness and feasibility for different geometries. New hybrid approach was also identified to predict melt volumes for helical heater arrangements within acceptable percentage error range.]]>