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