2018
DOI: 10.1590/0001-3765201820170845
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Physical-mechanical characterization of two amazon woods coming from the second cutting cycle

Abstract: Due to changes in the Amazon forest dynamics after the first cutting cycle, non exploited species become dominant in the forest. The lack of technological knowledge makes it hard to commercialize these woods, making the understanding of their physical-mechanical properties a fundamental step to properly define their applications. This study aimed to characterize physically and mechanically the wood of Pseudopiptadenia psilostachya and Eschweilera ovata from the second cutting cycle of the Tapajós National Fore… Show more

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Cited by 6 publications
(7 citation statements)
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“…The correlation coe cient between the variables that make up the evaluated properties was highly signi cant (p < 0.001), and from a total of 78 correlations performed, 29.49% were classi ed as weak, while the others were moderate to strong (70.51%), with the majority being positive correlations, and an inverse (negative) relationship was observed for HCV (extracts, polyphenols, solubility in water, moisture and ash), moisture (HCV, BD, and MOR) and BD (cellulose). The most correlated properties were BD and MOR (12), followed by DAP and MOE (11), HCV and lignin (9), extractives and polyphenols (8), H and cellulose (7), and moisture and water solubility (6), and the ash content was the variable with the least correlation (4). The averages of chemical and physicomechanical properties (Table 4) were used to form groups (Fig.…”
Section: Clustering Of Technological Characteristics Of Managed Fores...mentioning
confidence: 99%
“…The correlation coe cient between the variables that make up the evaluated properties was highly signi cant (p < 0.001), and from a total of 78 correlations performed, 29.49% were classi ed as weak, while the others were moderate to strong (70.51%), with the majority being positive correlations, and an inverse (negative) relationship was observed for HCV (extracts, polyphenols, solubility in water, moisture and ash), moisture (HCV, BD, and MOR) and BD (cellulose). The most correlated properties were BD and MOR (12), followed by DAP and MOE (11), HCV and lignin (9), extractives and polyphenols (8), H and cellulose (7), and moisture and water solubility (6), and the ash content was the variable with the least correlation (4). The averages of chemical and physicomechanical properties (Table 4) were used to form groups (Fig.…”
Section: Clustering Of Technological Characteristics Of Managed Fores...mentioning
confidence: 99%
“…5). It is worth mentioning that the values predicted for the properties are in the range for high density Amazonian woods (INPA/CPPF 1991, Balboni et al 2018. Kollmann & Cotê Junior (1968) and Silveira et al (2013) state that the physical and mechanical properties depend on the moisture content of the wood, with this variable being inversely proportional to BD, HCV, MOE and MOR, i.e., the greater the water content, the greater the interrelation of hydroxyls with cellulose and hemicellulose molecules, increasing dimensional instability and defects in pieces of wood and reducing the energy potential, as well as the biological and mechanical resistance of the wood.…”
Section: Physical and Mechanical Characterizationmentioning
confidence: 99%
“…Knowledge of the mechanical properties of wood is essential for structural pur-poses. Balboni et al (2018) Yu et al (2020) compared the mechanical properties of Quercus mongolica (mongolian oak) wood using NIR modeling and observed values for breaking strength in the range of 120.00 to 200.00 MPa and resistance to elasticity from 12,000 to 18,000 MPa.…”
Section: Physical and Mechanical Characterizationmentioning
confidence: 99%
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