In recent years, biodiesel has been considered as a good alternative of diesel fuels. Density and viscosity are two important properties of these fuels. In this study, density and kinematic viscosity of biodiesel-diesel blends were estimated by using artificial neural network (ANN). A three-layer feed forward neural network with Levenberg-Marquard (LM) algorithm was used for learning empirical ...

Binders are of prime importance in the agglomeration of iron ore concentrates. In this research, strength and density of briquette produced from the magnetite concentrate of Gol-E-Gohar were investigated using different binders at various applied pressures. The results showed that peridor was the most effective binder relative to bentonite and lime. For all types of binders, the increase in bin...

In recent years, biodiesel has been considered as a good alternative of diesel fuels. Density and viscosity are two important properties of these fuels. In this study, density and kinematic viscosity of biodiesel-diesel blends were estimated by using artificial neural network (ANN). A three-layer feed forward neural network with Levenberg-Marquard (LM) algorithm was used for learning empirical ...

in order to evaluate the efficiency of empirical competition models for simulation of sugar beet (beta vulgaris l.) yield at interference with redroot pigweed (amaranthus retroflexus l.), a factorial experiment based on randomized complete block design with three replications was carried out. factors were weed densities (d1=1, d2= 4, d3= 8, d4=12 and d5=16 plants m-1 of row) and relative time o...

abstract: this paper presents the results of pullout tests on uniaxial geogrid embedded in silica sand under monotonic and cyclic pullout forces. the new testing device as a recently developed automated pullout test device for soil-geogrid strength and deformation behavior investigation is capable of applying load/displacement controlled monotonic/cyclic forces at different rates/frequencies an...

this study investigates the effectiveness of the kriging interpolation model and the emission weighted proximity model (ewpm) in assessing relative exposure risk of air pollution using results from the american meteorological society/epa regulatory model (aermod) as benchmarks. we used simulated exposure risk to so2 in the dallas area in texas in this evaluation. results suggest that the relati...