Application of Temperature and Process Duration as a Method for Predicting the Mechanical Properties of Thermally Modified Timber

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@Article{chu:2022:Forests,

• author = "Demiao Chu and Redzo Hasanagic and Atif Hodzic and Davor Krzisnik and Damir Hodzic and Mohsen Bahmani and Marko Petric and Miha Humar",
• title = "Application of Temperature and Process Duration as a Method for Predicting the Mechanical Properties of Thermally Modified Timber",
• journal = "Forests",
• year = "2022",
• volume = "13",
• number = "2",
• keywords = "genetic algorithms, genetic programming, thermal modification, mathematical modeling, optimization",
• ISSN = "1999-4907",
• URL = "https://www.mdpi.com/1999-4907/13/2/217",
• DOI = "doi:10.3390/f13020217",
• abstract = "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 modelled 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 modelling and evolutionary algorithms.",
• notes = "also known as \cite{f13020217}",

}

Genetic Programming entries for Demiao Chu Redzo Hasanagic Atif Hodzic Davor Krzisnik Damir Hodzic Mohsen Bahmani Marko Petric Miha Humar

Citations