Application of Temperature and Process Duration as a Method for Predicting the Mechanical Properties of Thermally Modified Timber
Demiao Chu,
Redžo Hasanagić,
Atif Hodžić,
Davor Kržišnik,
Damir Hodžić,
Mohsen Bahmani,
Marko Petrič,
Miha Humar
Affiliations
Demiao Chu
Key Lab of State Forest and Grassland Administration on “Wood Quality Improvement & High Efficient Utilization”, School of Forestry & Landscape Architecture, Anhui Agricultural University, Hefei 230036, China
Redžo Hasanagić
Department of Wood Science and Technology, Faculty of Technical Engineering, University of Bihać, 77000 Bihać, Bosnia and Herzegovina
Atif Hodžić
Department of Wood Science and Technology, Faculty of Technical Engineering, University of Bihać, 77000 Bihać, Bosnia and Herzegovina
Davor Kržišnik
Department of Wood Science, Biotechnical Faculty, University of Ljubljana, 1000 Ljubljana, Slovenia
Damir Hodžić
Department of Wood Science and Technology, Faculty of Technical Engineering, University of Bihać, 77000 Bihać, Bosnia and Herzegovina
Mohsen Bahmani
Department of Natural Resources and Earth Science, Shahrekord University, Shahrekord 64165478, Iran
Marko Petrič
Department of Wood Science, Biotechnical Faculty, University of Ljubljana, 1000 Ljubljana, Slovenia
Miha Humar
Department of Wood Science, Biotechnical Faculty, University of Ljubljana, 1000 Ljubljana, Slovenia
This study aims to investigate the influence of thermal modification (TM) on the physical and mechanical properties of wood. For this purpose, the experimental part focused on selected influential parameters, namely temperature, residence time, and density, while the four-point bending strength is obtained as the output parameter. The obtained experimental data are stochastically modeled and compared with the model created by genetic programming (GP). The classical mathematical analysis obtained treatment parameters in relation to the maximum bending strength (T = 187 °C, t = 125 min ρ = 0.780 g/cm3) and compared with the results obtained by genetic algorithm (GA) (T = 208 °C, t = 122 min, and ρ = 0.728 g/cm3). It is possible to obtain models that describe experimental results well with stochastic modeling and evolutionary algorithms.