An air-drying model for piled logs of Eucalyptus globulus and Eucalyptus nitens in Chile
Author
dc.contributor.author
Bown Intveen, Horacio
Author
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Lasserre, Jean-Pierre
Admission date
dc.date.accessioned
2016-08-05T19:31:51Z
Available date
dc.date.available
2016-08-05T19:31:51Z
Publication date
dc.date.issued
2015
Cita de ítem
dc.identifier.citation
New Zealand Journal of Forestry Science (2015) 45:17
en_US
Identifier
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DOI: 10.1186/s40490-015-0047-6
Identifier
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https://repositorio.uchile.cl/handle/2250/139932
General note
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Artículo de publicación ISI
en_US
Abstract
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Background: Water accounts for around half of the total mass in living trees, and therefore large savings can be
achieved if logs are dried before transporting or burning.
Methods: An air-drying model for piled logs of Eucalyptus globulus Labill. and Eucalyptus nitens H.Deane & Maiden
was developed. Daily moisture content (MC) loss was modelled based on meteorological variables and pile
characteristics. The trial had a factorial design with two species, two debarking treatments (with or without bark)
and two log lengths (244 and 350 cm). Independent trials started in July 2007 (winter), October 2007 (spring) and
January 2008 (summer). There were five replicate piles per season and treatment. Wood pile masses were weighted
weekly or twice weekly using a crane, a 10,000 kg balance and chains to hold the piles.
Results: The main and interactive effects of seasons and treatments on daily MC loss were highly significant.
However, the effect of season (climate) was far greater than the main effects of treatments or the season ×
treatment interaction. Overall, E. globulus dried 20 % faster than E. nitens, debarked logs dried 8 % faster than
barked logs and 244 cm logs dried 3 % faster than 350 cm logs. Daily MC loss for the current day was better
explained by a power function of MC at the start of the day, daily air relative humidity, daily air temperature and
the number of logs per square metre of pile cross-section (or an equivalent average log diameter).
Conclusions: The air-drying model for piled logs can be used to predict drying times (days) to achieve a given
target moisture content, providing a new tool for decision-making in forest transport and industrial planning.