The parameters of the hot-pressing process have a substantial effect on the
final mechanical and physical properties of wood-based composites. The num
ber of interacting variables during the consolidation is prohibitively larg
e to assess a wide variety of data by experimental means. A combined stocha
stic and deterministic model, based on fundamental engineering principles,
was developed and validated for establishing the critical relationships bet
ween the processing parameters and the physical properties of oriented stra
ndboard (OSB). In the first phase of this research, a Monte-Carlo simulatio
n model was developed for describing the spatial structure of a three-layer
OSB. The model was designed to mimic the strand deposition during the mat
formation, including the three-dimensional spatial geometry, orientation, a
nd density of the strands. These physical characteristics of the mat format
ion process were considered as stochastic variables that can be described b
y well-developed probability distributions. The parameters of these underly
ing distributions were derived from data collected on industrial strands by
using an image analysis technique. The model superimposes a grid on the si
mulated mat and is capable of computing the number of strands, as well as t
he thickness and density of the mat, at each grid point. Additionally, it c
an predict the change in several void volume fractions and strand contact a
rea within the mat during the consolidation. The model has application to w
afer. particle. and fiber mats as well. This structural simulation model is
the basis of further model development that describes the heat and mass tr
ansfer processes, and the viscoelastic nature of the hot-pressing operation
during OSB manufacturing.