Items for "Guggenheim-Anderson-deBoer (GAB) model"

Wood-water sorption isotherm prediction with artificial neural networks: A preliminary study

This is a preliminary study that proposes an original prototype artificial neural network to be used in addition to the two classic sorption isotherm modeling methods, Hailwood-Horrobin (HH) and Guggenheim-Anderson-deBoer (GAB), in predicting the equilibrium moisture content in wood at three different temperatures (30, 45 and 60°C) for softwood (lodgepole pine) sapwood and heartwood specimens...

Keywords: Artificial Neural Networks, chemical composition, Guggenheim-Anderson-deBoer (GAB) model, Hailwood-Horrobin (HH) model, Sorption, Water, wood