2020
DOI: 10.1007/s11676-020-01141-7
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Variation of basic density, calorific value and volumetric shrinkage within tree height and tree age of Ugandan grown Eucalyptus grandis wood

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Cited by 5 publications
(2 citation statements)
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“…These values were found to be comparable to those reported for Eucalyptus grandis × Eucalyptus urophylla, which were 87.95%, 11.59%, and 0.46%, respectively [27]. Regarding the higher and lower calorific values, they fell within the ranges of 19.43 to 20.28 and 18.13 to 18.84 kJ/kg, respectively, resembling those typically observed for hardwood [28], although lower than those found in softwoods [29]. The relatively lower calorific value of hardwoods can be attributed to the structure of lignin, where the presence of syringyl units increases the number of ether bonds, leading to a less condensed structure [29,30].…”
Section: Chemical Characterization Of Woodsupporting
confidence: 85%
“…These values were found to be comparable to those reported for Eucalyptus grandis × Eucalyptus urophylla, which were 87.95%, 11.59%, and 0.46%, respectively [27]. Regarding the higher and lower calorific values, they fell within the ranges of 19.43 to 20.28 and 18.13 to 18.84 kJ/kg, respectively, resembling those typically observed for hardwood [28], although lower than those found in softwoods [29]. The relatively lower calorific value of hardwoods can be attributed to the structure of lignin, where the presence of syringyl units increases the number of ether bonds, leading to a less condensed structure [29,30].…”
Section: Chemical Characterization Of Woodsupporting
confidence: 85%
“…In addition to these traditional methods, near-infrared spectroscopy (NIRS) has the potential of predicting wood basic density rapidly and nondestructively (Liang et al 2019). In several tests, British Standards and ASTM (American Society for Testing and Materials) standard wood testing procedures are referred by researchers to analyze wood basic density (Sseremba et al 2020).…”
Section: Introductionmentioning
confidence: 99%