Predicting moisture content from basic density and diameter during air drying of Eucalyptus and corymbia logs
MADERAS : Ciencia y Tecnología
In air drying of Eucalyptus urophylla and Corymbia citriodora logs for the production of charcoal it is necessary to be able to predict when logs have reached the required moisture content of ≤ 35%. This study is aimed to produce models using basic density and diameter to predict the moisture content of Eucalyptus urophylla and Corymbia citriodora logs after 30, 60 and 90 days drying. 1,2 m long logs were taken at three different heights from three C. citriodora trees and three trees each from
... ee trees each from two E. urophylla clones (VM4 and Mn463). The 27 debarked, end sealed logs were air dried under cover for 90 days during which the change in moisture content was monitored. The relationship between density and drying was analyzed by Pearson's correlation coefficient and the models for predicting the moisture content based on the basic density and diameter were produced. The density and the drying showed a high correlation coefficient. The coefficient of determination of the models was above 0,89 with a standard error lower than 6%. The use of the density and diameter to estimate the wood moisture content simplifies the production of the models, which can be used for Eucalyptus and Corymbia genetic materials. Associação Brasileira de Normas Técnicas. ABNT. 2003. Madeira-determinação da densidade básica, NBR 11942. Rio de Janeiro. Brazil Associação Brasileira de Produtores de Florestas Plantadas. 2012. Anuário estatístico da ABRAF: ano base 2011. Brasília, 145 p. Arruda, T.P.M.; Pimenta, A.S.; Vital, B.R.; Della Lucia, R.M.; Acosta, F.A. 2011. Avaliação de duas rotinas de carbonização em fornos retangulares. Revista Árvore 35(4): 949-955. Bedane, A.H.; Muhammad, T.A.; Sokhansanj. S. 2011. Simulation of temperature and moisture changes during storage of woody biomass owing to weather variability. Biomass and Bioenergy 35(7): 3147-3151. Berberovic, A.; Milota, M.R. 2011. Impact of wood variability on the drying rate at different moisture content levels. Forest Products Journal 61(6): 435-442. Brand, M.A.; Muñiz, G.I.B.; Quirino, W.F.; Brito, J.O. 2011. Storage as a tool to improve wood fuel quality. Biomass and Bioenergy 35(7): 2581-2588. Engelund, E.T.; Thygesen, L.G.; Svensson, S.; Hill, C.A.S. 2013. A critical discussion of the physics of wood-water interactions. Wood Science and Technology 47(1): 141-161. Couto, A.M.; Trugilho, P.F.; Neves, T.A.; Protásio, T.P.; de Sá, V.A. 2013. Modeling of basic density of wood from Eucalyptus grandis and Eucalyptus urophylla using nondestructive methods. Revista Cerne 19(1): 27-34. Gebreegziabher, T.; Oyedun, A.O.; Hui, C.W. 2013. Optimum biomass drying for combustion -A modeling approach. Energy 53(1): 67-73. Hermawan, A.; Fujimoto, N.; Sakagami, H. 2012. Effects of high-temperature and low-humidity pretreatment on the drying properties of sugi boxed-heart timber with black-colored heartwood. Drying Technology 30(7): 780-786.