A Screening Model to Predict Entrapped LNAPL Depletion

Developing a Fuzzy Logic Model to Predict Asphaltene Precipitation during Natural Depletion based on Experimental Data

developing a fuzzy logic model to predict asphaltene precipitation during natural depletion based on experimental data

a model to predict the behavior of uasb reactors

a model describing the main processes occurring in the uasb reactor was developed; in orderto maintain simplicity and applicability of the model, only the fundamental aspects were considered. in themodel, the reactor is divided in several well-stirred reactors coupled in series and it comprises substratedegradation, biomass growth and the reactions that take place within the granules. the impor...

Generalization of a CFD Model to Predict the Net Power in PEM Fuel Cells

Qualitatively, it is known that the reactants content within the catalyst layer (CL) is the driving moments for the kinetics of reaction within the CL. This paper aimed to quantitatively express the level of enhancement in electrical power due to enrichment in the oxygen content. For a given MEA, a flow field (FF) designer is always willing to design a FF to maximize the content of oxygen in al...

A New Dynamic Random Fuzzy DEA Model to Predict Performance of Decision Making Units

Data envelopment analysis (DEA) is a methodology for measuring the relative efficiency of decision making units (DMUs) which ‎consume the same types of inputs and producing the same types of outputs. Believing that future planning and predicting the ‎efficiency are very important for DMUs, this paper first presents a new dynamic random fuzzy DEA model (DRF-DEA) with ‎common weights (using...