Application of temperature and process duration as a method for predicting the mechanical properties of thermally modified timber

Chu, Demiao (author), Hasanagić, Redžo (author), Hodžić, Atif (author), Kržišnik, Davor (author), Hodžić, Damir (author), Bahmani, Mohsen (author), Petrič, Marko (author), Humar, Miha (author)

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.

• Language: English
• 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
• Year: 2022
• Number of pages: 13 str.
• Numbering: Vol. 13, iss. 2, art. 217
• PID: 20.500.12556/RUL-136985
• UDC: 630*8
• ISSN on article: 1999-4907
• DOI: 10.3390/f13020217
• COBISS.SI-ID: 95697411
• Publication date in RUL: 27.05.2022

Record is a part of a journal

• Title: Forests
• Shortened title: Forests
• Publisher: MDPI
• ISSN: 1999-4907
• COBISS.SI-ID: 3872166

Licences

• License: CC BY 4.0, Creative Commons Attribution 4.0 International
• Link: http://creativecommons.org/licenses/by/4.0/
• 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

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