Application of temperature and process duration as a method for predicting the mechanical properties of thermally modified timber
ID Chu, Demiao (Author), ID Hasanagić, Redžo (Author), ID Hodžić, Atif (Author), ID Kržišnik, Davor (Author), ID Hodžić, Damir (Author), ID Bahmani, Mohsen (Author), ID Petrič, Marko (Author), ID Humar, Miha (Author)

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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/cm$^3$) and compared with the results obtained by genetic algorithm (GA) (T = 208 °C, t = 122 min, and ρ = 0.728 g/cm$^3$). It is possible to obtain models that describe experimental results well with stochastic modeling and evolutionary algorithms.

Keywords:thermal modification, mathematical modeling, genetic programming, optimization, genetic algorithm
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:BF - Biotechnical Faculty
Publication status:Published
Publication version:Version of Record
Article acceptance date:26.01.2022
Number of pages:13 str.
Numbering:Vol. 13, iss. 2, art. 217
PID:20.500.12556/RUL-136985 This link opens in a new window
ISSN on article:1999-4907
DOI:10.3390/f13020217 This link opens in a new window
COBISS.SI-ID:95697411 This link opens in a new window
Publication date in RUL:27.05.2022
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Record is a part of a journal

Shortened title:Forests
COBISS.SI-ID:3872166 This link opens in a new window


License:CC BY 4.0, Creative Commons Attribution 4.0 International
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:01.02.2022

Secondary language

Keywords:termična modifikacija, matematično modeliranje, genetsko programiranje, optimizacija, genetski algoritem


Funder:Other - Other funder or multiple funders
Funding programme:Anhui Province, Natural Science Foundation
Project number:2008085QC130

Funder:ARRS - Slovenian Research Agency
Funding programme:Bilateral project between the Republic of Slovenia and Bosnia and Herzegovina

Funder:ARRS - Slovenian Research Agency
Project number:P4-0015
Name:Les in lignocelulozni kompoziti

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