background & aims of the study: a feed forward artificial neural network (ffann) was developed to predict the efficiency of total petroleum hydrocarbon (tph) removal from a contaminated soil, using soil washing process with tween 80. the main objective of this study was to assess the performance of developed ffann model for the estimation of   tph removal. materials and methods: several indepen...

Abstract For improved operating conditions of a polymer electrolyte membrane (PEM) fuel cell, sophisticated water management is crucial. Therefore, it necessary to understand the transport mechanisms throughout cell constituents especially on cathode side, where excess has be removed. Pore-scale modeling diffusion layers and gas distributor been established as favorable technique investigate on...

Microscopic flow in fractured porous media is a typical problem for the exploitation of tight reservoirs. The rapid-flow in the fractured porous-media is of great significance to efficient and continuous oil/gas exploitation. The fractures are expected to enhance flow conductivity and mass transfer between matrix and fractures, and to improve oil displacement during water flooding. However, the...

Dual-domain models are used to explain anomalous solute transport behavior observed in diverse hydrologic settings and applications, from groundwater remediation to hyporheic exchange. To constrain such models, new methods are needed with sensitivity to both immobile and mobile domains. Recent experiments indicate that dual-domain transport of ionic tracers has an observable geoelectrical signa...

Injection molding is one of the most important and common plastic formation methods. Combination of modeling tools and optimization algorithms can be used in order to determine optimum process conditions for the injection molding of a special part. Because of the complication of the injection molding process and multiplicity of parameters and their interactive effects on one another, analytical...

today hydrogels are considered as the materials that are able to play important role in drug delivery systems. to design an effective hydrogel applicable network, mathematical modeling has a critical role. a successful drug delivery device relies not only on intelligent network design but also on accurate prior mathematical modeling of drug release profiles. in this study, the modeling of the i...

injection molding is one of the most important and common plastic formation methods. combination of modeling tools and optimization algorithms can be used in order to determine optimum process conditions for the injection molding of a special part. because of the complication of the injection molding process and multiplicity of parameters and their interactive effects on one another, analytical...

High surface charges of polymer pore walls and applied electric fields can lead to the formation and subsequent dissolution of precipitates in nanopores. These precipitates block the pore, leading to current fluctuations. We present an extended Poisson-Nernst-Planck system which includes chemical reactions of precipitation and dissolution. We discuss the mathematical modeling and present 2D num...