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Chemical and energetic characterization for utilization of thinning and slab wood from Australian red cedar PFB - Pesquisa Florestal Brasileira
Bufalino, Lina; Protásio, Thiago de Paula; Couto, Allan Motta; Nassur, Otávio Augusto Carvalho; de Sá, Vânia Aparecida; Trugilho, Paulo Fernando; Mendes, Lourival Marin.
This work aimed to quantify and compare chemical and energetic properties of Australian red cedar Toona ciliata MJ Roem var. australis (FV Muell.) C. DC wood from thinning and primary sawing for reconstituted panel and energy production; and also to verify the efficiency of extractive removal by water treatments, in order to improve wood quality for particleboard production. Lignin, holocellulose, extractives, ash, carbon, hydrogen, oxygen, nitrogen and sulfur contents and higher heating value were determined. Two water treatments for extractive removal were performed: immersion in cold water for 24 hours and immersion in boiling water for 2 hours. Lower values of ash, holocellulose, hydrogen and nitrogen contents and higher contents of lignin, total...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Total extractives Solid wastes Reconstituted panels Higher heating value Toona ciliata Recursos Florestais; Engenharia Florestal; Tecnologia da Madeira Extrativos totais Resíduos sólidos Painéis reconstituídos Poder calorífico Toona ciliata.
Ano: 2012 URL: http://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/356
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Relation between higher heating value and elemental and mineral biomass plant components PFB - Pesquisa Florestal Brasileira
Protásio, Thiago de Paula; Bufalino, Lina; Tonoli, Gustavo Henrique Denzin; Couto, Allan Motta; Trugilho, Paulo Fernando; Guimarães Júnior, Mário.
The aims of this work were to evaluate the correlation, to adjust and select simple and multiple linear statistical models between elemental components (carbon, hydrogen and oxygen) and ash content with higher heating value for plant biomass; to use the principle components analysis for the creation of an energetic development index and to adjust a linear model between energetic development index and higher heating value. Eight types of biomass were used. Three linear and nine multiple statistical models were adjusted. The best models were selected based on the significance of coefficients, adjusted determination coefficient, estimative standard error, coefficient of variation, linearity of parameters, normality, presence of heterocedasticity and lack of...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Modeling; Regression; Correlation; Selection Modelagem; Regressão; Correlação; Seleção.
Ano: 2011 URL: http://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/200
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