Application of Temperature and Process Duration as a Method for Predicting the Mechanical Properties of Thermally Modified Timber
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 o...
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MDPI AG
2022-01-01
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| Online Access: | https://www.mdpi.com/1999-4907/13/2/217 |
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| author | Demiao Chu Redžo Hasanagić Atif Hodžić Davor Kržišnik Damir Hodžić Mohsen Bahmani Marko Petrič Miha Humar |
| author_facet | Demiao Chu Redžo Hasanagić Atif Hodžić Davor Kržišnik Damir Hodžić Mohsen Bahmani Marko Petrič Miha Humar |
| author_sort | Demiao Chu |
| collection | DOAJ |
| description | 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 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>ρ</mi></semantics></math></inline-formula> = 0.780 g/cm<sup>3</sup>) and compared with the results obtained by genetic algorithm (GA) (T = 208 °C, t = 122 min, and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>ρ</mi></semantics></math></inline-formula> = 0.728 g/cm<sup>3</sup>). It is possible to obtain models that describe experimental results well with stochastic modeling and evolutionary algorithms. |
| first_indexed | 2024-03-09T21:56:50Z |
| format | Article |
| id | doaj.art-7e6d96d50d2a486c9b491ffda46b9421 |
| institution | Directory Open Access Journal |
| issn | 1999-4907 |
| language | English |
| last_indexed | 2024-03-09T21:56:50Z |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Forests |
| spelling | doaj.art-7e6d96d50d2a486c9b491ffda46b94212023-11-23T19:56:04ZengMDPI AGForests1999-49072022-01-0113221710.3390/f13020217Application of Temperature and Process Duration as a Method for Predicting the Mechanical Properties of Thermally Modified TimberDemiao Chu0Redžo Hasanagić1Atif Hodžić2Davor Kržišnik3Damir Hodžić4Mohsen Bahmani5Marko Petrič6Miha Humar7Key Lab of State Forest and Grassland Administration on “Wood Quality Improvement & High Efficient Utilization”, School of Forestry & Landscape Architecture, Anhui Agricultural University, Hefei 230036, ChinaDepartment of Wood Science and Technology, Faculty of Technical Engineering, University of Bihać, 77000 Bihać, Bosnia and HerzegovinaDepartment of Wood Science and Technology, Faculty of Technical Engineering, University of Bihać, 77000 Bihać, Bosnia and HerzegovinaDepartment of Wood Science, Biotechnical Faculty, University of Ljubljana, 1000 Ljubljana, SloveniaDepartment of Wood Science and Technology, Faculty of Technical Engineering, University of Bihać, 77000 Bihać, Bosnia and HerzegovinaDepartment of Natural Resources and Earth Science, Shahrekord University, Shahrekord 64165478, IranDepartment of Wood Science, Biotechnical Faculty, University of Ljubljana, 1000 Ljubljana, SloveniaDepartment of Wood Science, Biotechnical Faculty, University of Ljubljana, 1000 Ljubljana, SloveniaThis 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 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>ρ</mi></semantics></math></inline-formula> = 0.780 g/cm<sup>3</sup>) and compared with the results obtained by genetic algorithm (GA) (T = 208 °C, t = 122 min, and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>ρ</mi></semantics></math></inline-formula> = 0.728 g/cm<sup>3</sup>). It is possible to obtain models that describe experimental results well with stochastic modeling and evolutionary algorithms.https://www.mdpi.com/1999-4907/13/2/217thermal modificationmathematical modelinggenetic programmingoptimizationgenetic algorithm |
| spellingShingle | Demiao Chu Redžo Hasanagić Atif Hodžić Davor Kržišnik Damir Hodžić Mohsen Bahmani Marko Petrič Miha Humar Application of Temperature and Process Duration as a Method for Predicting the Mechanical Properties of Thermally Modified Timber Forests thermal modification mathematical modeling genetic programming optimization genetic algorithm |
| title | Application of Temperature and Process Duration as a Method for Predicting the Mechanical Properties of Thermally Modified Timber |
| title_full | Application of Temperature and Process Duration as a Method for Predicting the Mechanical Properties of Thermally Modified Timber |
| title_fullStr | Application of Temperature and Process Duration as a Method for Predicting the Mechanical Properties of Thermally Modified Timber |
| title_full_unstemmed | Application of Temperature and Process Duration as a Method for Predicting the Mechanical Properties of Thermally Modified Timber |
| title_short | Application of Temperature and Process Duration as a Method for Predicting the Mechanical Properties of Thermally Modified Timber |
| title_sort | application of temperature and process duration as a method for predicting the mechanical properties of thermally modified timber |
| topic | thermal modification mathematical modeling genetic programming optimization genetic algorithm |
| url | https://www.mdpi.com/1999-4907/13/2/217 |
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