Abstract
In this study, water absorption and thickness swelling values of medium density fiberboard (MDF) were modelled by artificial neural networks (ANN). MDF panels were produced with different rates of paraffin (0.0-control, 0.5, 1 and 1.5 %) at different press temperatures (170 and 190 °C). After conditioning of MDF, water absorption (WA) and thickness swelling (TS) of samples were carried out at specific intervals within 24 hours. Then, the data obtained from these experiment were modelled using ANN. Paraffin addition rate, press temperature and immersion time in water were used as the input parameters, while WA and TS values of MDF were used as the output parameters. After training of ANN, it was found that correlation coefficients (R) were close to 1 for training, validation, test and all data set. Mean absolute percentage error (MAPE) and mean square error (MSE) were determined as 2.94 % and 0.57, respectively, for all data sets. As a result of this study, the use of proposed ANN model may be recommended to predict the water absorption and thickness swelling of panels instead of complex and time-consuming studies such as empirical formulas.
Highlights
IntroductionFiberboard is a wood-based panel that consists of wood lignocellulosic fibers, produced using synthetic resins or other bonding systems/materials under different temperature and pressure conditions
Press temperature and immersion time in water were used as the input parameters, while water absorption (WA) and thickness swelling (TS) values of medium density fiberboard (MDF) were used as the output parameters
The objective of the present study is to develop an artificial neural networks (ANN) model to predict the changes in the WA and TS values of MDF depending on some parameters such as different paraffin rates and press temperatures
Summary
Fiberboard is a wood-based panel that consists of wood lignocellulosic fibers, produced using synthetic resins or other bonding systems/materials under different temperature and pressure conditions. It is commonly used in buildings and constructions as panel, insulating and covering materials. When wood-based panels are exposed to moisture, some changes in dimensions and in their structure occur (Suzuki and Miyamoto, 1998). This situation could be important for end use of the materials
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