No abstract

No abstract

An analysis has been carried out to predict the boiling incipience with natural circulation flow in a reboiler tube. An equation has been proposed to estimate the wall superheat for different types of liquids covering a wide range of thermo physical properties. Incipience in liquid films is influenced both by turbulent eddies and liquid submergence. This approach utilizes physical parameters of commonly accepted incipience models and takes into account the effects of turbulent eddies and submergence. The results predicted from the theoretical analysis were found to be consistent with the experimental data, having average absolute relative error of 15.42 percent. © 2006 American Institute of Chemical Engineers AIChE J, 2006

No abstract

In the present work, fuzzy logic (FL) has been used to model the performance of a batch reactor system and, hence, the conversion profile at varying operating conditions. The transient temperature vs. time data of exothermic reaction was taken from open literature [1] for modelling with FL. The FL model with properly chosen fuzzy sets, type of membership function and rule base relate time with temperature very well in the reactor under experimental condition. The simulated result through FL model was compared with experimental findings, mathematical model and artificial neural network (ANN) model. The FL model predictions were found to be in very good agreement with experimental findings with average absolute error less than 1%.