Application of Nondestructive Methods to Evaluate Mechanical Properties of 32-Year-Old Taiwan Incense Cedar (Calocedrus formosana) Wood

Chiu, Chih-Ming; Lin, Chih-Hsien; Yang, Tsung Han

doi:10.15376/biores.8.1.688-700

Cited by 7 publications

(10 citation statements)

References 10 publications

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“…These data are better than those reported by Chiu et al (2013) (R = 0.86 between MOE dyn and MOE static , 0.69 between MOE dyn and MOR dyn ). No significant correlation was observed between MOE dyn and maximum shearing stress (R = 0.45).…”

Section: Relation Among Dynamic Moe and Mechanical Propertiescontrasting

confidence: 86%

Destructive and non-destructive evaluation of seven hardwoods and analysis of data correlation

Ponneth

Vasu

Easwaran³

et al. 2014

Holzforschung

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Wood physical and mechanical properties in seven tropical hardwood species viz., Acacia auriculiformis A. Cunn. ex Benth., Artocarpus hirsutus Lamk., Artocarpus heterophyllus Lamk., Swietenia macrophylla King, Xylia dolabriformis Benth., Hevea braziliensis (H.B.K.) M. A.), and Tectona grandis L.f. have been studied by means of destructive and non-destructive techniques (NDT). Mechanical strength properties and specific gravity were evaluated by conventional methods. NDT was carried out by a Pilodyn and Treesonic Microsecond Timer (TMT) to measure a steel pin penetration depth into wood and dynamic MOE, respectively. In focus was the question, whether NDT data are suitable predictors for physical and mechanical properties of the indicated hardwood species. Dynamic MOE obtained by TMT correlated strongly positive with all the strength properties studied, except shearing stress. TMT data also correlated very well to static bending MOE and MOR. A linear relationship was found between Pilodyn steel pin penetration depth and oven dry specific gravity in all the species. Both Pilodyn and TMT proved to be useful predictors of timber properties, and these instruments have a high potential for timber grading.

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Section: Relation Among Dynamic Moe and Mechanical Propertiescontrasting

confidence: 86%

Destructive and non-destructive evaluation of seven hardwoods and analysis of data correlation

Ponneth

Vasu

Easwaran³

et al. 2014

Holzforschung

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“…and Chiu et al 127 reported that dynamic MOE values obtained using both TOF and resonance were higher than static MOE calculated using bending tests, though the resonance value was closer to the static values.…”

mentioning

confidence: 81%

“…[171][172][173] 2. Acoustic resonance tool errors Studies have shown that there is a strong correlation between the MOE values calculated using the acoustic resonance technique and those obtained using mechanical bending of boards 34,44,127,159,160 (see Fig. 6).…”

Section: Fakoppmentioning

confidence: 95%

“…107 The acoustic velocity is also reported to decrease with height up the tree stem. 57,[126][127][128][129] However, some studies have reported that the longitudinal acoustic velocity in radiata pine initially increased to a maximum a few meters up the tree and then decreased with height. 107,126,130 Reaction wood within the tree stem can also cause variations in acoustic velocity measurements.…”

Section: Additional Factors Affecting Acoustic Velocity In Tree Stemsmentioning

confidence: 99%

“…Studies have found that the TOF method provides measured values of MOE which are higher than those obtained using resonance for standing trees and logs 58,101,124,126,127,176,228,[231][232][233] (see Fig. 8).…”

Section: Systematic Difference Between Tof and Resonancementioning

confidence: 99%

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Measurement of stiffness of standing trees and felled logs using acoustics: A review

Legg

Bradley

2016

The Journal of the Acoustical Society of America

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This paper provides a review on the use of acoustics to measure stiffness of standing trees, stems, and logs. An outline is given of the properties of wood and how these are related to stiffness and acoustic velocity throughout the tree. Factors are described that influence the speed of sound in wood, including the different types of acoustic waves which propagate in tree stems and lumber. Acoustic tools and techniques that have been used to measure the stiffness of wood are reviewed. The reasons for a systematic difference between direct and acoustic measurements of stiffness for standing trees, and methods for correction, are discussed. Other techniques, which have been used in addition to acoustics to try to improve stiffness measurements, are also briefly described. Also reviewed are studies which have used acoustic tools to investigate factors that influence the stiffness of trees. These factors include different silvicultural practices, geographic and environmental conditions, and genetics.

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Modulus of elasticity prediction model on sugi (Cryptomeria japonica) lumber using online near-infrared (NIR) spectroscopic system

Sofianto

Inagaki

Kato

et al. 2017

International Wood Products Journal

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In this study, static bending measurements and online NIR spectra acquisitions were combined to construct modulus of elasticity (MOE) prediction model for sugi lumber. NIR spectra were acquired from tangential surface of sugi lumbers at a speed of 120 m min −1 to assess its effectiveness in the wood industry. Cross-validation partial least squares regression (CV-PLSR) and test-set-validation partial least squares regression (TSV-PLSR) analyses were employed for analysing the data. The second derivative (2d) spectra with 19 smoothing points (Savitzky-Golay algorithm, second polynomial) gave the best result as spectral pre-processing treatment with the lowest root mean square error of cross-validation and the highest coefficient of determination for cross-validation based on the optimum number of latent variables as assessed from the minimum validation residual variance value in the CV-PLSR analysis. These 2d spectra were then used in the TSV-PLSR analysis for 100 repetitions to check the robustness of the calibration.

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Application of Nondestructive Methods to Evaluate Mechanical Properties of 32-Year-Old Taiwan Incense Cedar (Calocedrus formosana) Wood

Cited by 7 publications

References 10 publications

Destructive and non-destructive evaluation of seven hardwoods and analysis of data correlation

Destructive and non-destructive evaluation of seven hardwoods and analysis of data correlation

Measurement of stiffness of standing trees and felled logs using acoustics: A review

Modulus of elasticity prediction model on sugi (Cryptomeria japonica) lumber using online near-infrared (NIR) spectroscopic system

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