Optimization of Veneer Drying Temperature for the Best Mechanical Properties of Plywood via Artificial Neural Network
Abstract
The drying of veneer
is an essential part of the veneer-producing process to aid the gluing during
the manufacture of the plywood and laminated veneer lumber. Determining the
optimum veneer drying temperature without decreasing of mechanical properties
is also very important from industrial viewpoint. Due to the high drying costs,
increased temperatures are being used commonly in plywood industry to reduce
the overall drying time and increase capacity. However, high drying
temperatures can alter some physical, mechanical and chemical characteristics
of wood and cause some drying-related defects. In this study, it was aimed to
predict the optimum drying temperature for alder and scots pine veneers via
artificial neural network modelling for optimum mechanical properties.
Therefore, mechanical strength values of plywood panels manufactured from alder
and scots pine veneers were dried at temperatures of 110, 130, 150, 170, 190
and 210°C. Shear strength, bending strength and modulus of elasticity of the
plywood panels were experimentally determined according to EN 314-1 and EN 310
standards. Then, the mechanical strength values based on veneer drying
temperatures are subjected to prediction by artificial neural network
modelling. As a results of this study, the optimum drying
temperature values were obtained as 165, 162 and 161°C in Scots pine
plywood and 190, 195 and 196°C in alder plywood, for best shear
strength, bending strength and modulus of elasticity values, respectively.
Keywords
Artificial Neural Network,Mechanical Properties,Veneer Drying Temperature,Alder,Scots Pine
Kaynakça
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