Stiffness and moisture content prediction model of wooden veneer using fast online near-infrared (NIR) spectroscopic system

Sofianto, Imran Arra’d; Inagaki, Toru; Itoh, Mariya; Tsuchikawa, Satoru

doi:10.15406/freij.2017.01.00006

Cited by 3 publications

(1 citation statement)

References 10 publications

(13 reference statements)

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“…Santos et al (2020) has investigated the influence of integrating sphere or fiber optic probe and the exterior specimen condition on the NIR spectra for moisture assessment in timber. Tsuchikawa et al (2017) examined online NIR spectroscopic system for speedy moisture evaluation of veneer at 120 m/min and sufficient prediction accuracy. Tham et al (2019) predicted moisture percentages of timber from green to air-dried condition, considering both capacitance and NIR spectra taken at two different wavelengths.…”

Section: Ir Optical Methodsmentioning

confidence: 99%

Techniques to Measure Moisture Content in Timber: A Review and Proposal for Inter-digital Sensing

Oommen¹,

Philip²

2022

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Timber is a commonly used building material which is porous in nature, continuously maintaining equality with relative humidity (RH) and temperature of the atmosphere in the immediate vicinity. Moisture content influences several performance parameters like timber durability, immunity to deterioration etc. Several procedures have been attempted which enables to measure the moisture contents in timber consistently and rather accurately. This review provides the technical details of the methodologies attempted so far to estimate moisture contents in timber specimens. The proposed inter-digital sensing was carried out at Department of Instrumentation, CUSAT during 2019-2020. Implementation of a method employing a spiral inter-digital capacitive sensor, which is low in cost and non-invasive in nature, is presented and discussed.

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Section: Ir Optical Methodsmentioning

confidence: 99%

Techniques to Measure Moisture Content in Timber: A Review and Proposal for Inter-digital Sensing

Oommen¹,

Philip²

2022

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Effect of knots and holes on the modulus of elasticity prediction and mapping of sugi (Cryptomeria japonica) veneer using near-infrared hyperspectral imaging (NIR-HSI)

Sofianto

Inagaki

et al. 2018

Holzforschung

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Naturally occurring knots reduce the mechanical strength of wood. Veneers from sugi (Cryptomeria japonica) served as research material to study the effect of knots and holes. Veneer samples were first subjected to a three-point bending test to obtain measured modulus of elasticity (MOE) values. Then, near-infrared (NIR) hyperspectral imaging (HSI) was used to construct a prediction model and map the predicted MOE values. This is the first attempt for MOE prediction from the entire veneer surface based on NIR-HSI technology, while the mathematical part relies on chemometrics and cross-validation partial least squares regression (CV-PLSR). Maps of MOE prediction values could distinguish between latewood (LW) and earlywood (EW), as well as between a sound knot and a dead knot.

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Hydromechanical behavior of wood during drying studied by NIR spectroscopy and image analysis

Amaral,

Baliza,

dos Santos

et al. 2023

Holzforschung

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The physical properties of wood are important parameters to qualify the material. However, as it is a heterogeneous material, moisture content and wood contractions may vary within the sample. Thus, the objective was to monitor the hydromechanical behavior of wood during drying using near infrared (NIR) spectroscopy and image analysis. Equidistant points were marked on the radial surface of a wooden board and NIR spectra were recorded at each marking during drying of the piece. After spectral acquisition in each drying step, images were obtained and the markings were referenced to monitor contractions during drying. Moisture content (MC) estimates via NIR spectra showed strong correlation with reference values (R2cv = 0.92, RMSEcv = 9.82 %). From the estimates it was possible to generate graphic images to visualize and quantify the spatial variation of MC and shrinkage during wood drying. In the initial stages of drying, the ends of the material showed high moisture in relation to the center of the sample. However, MC loss was 11 % greater at the ends of the wood board when compared to its interior while the shrinkage in external zones was 3 times greater than the internal part. The use of NIR technique associated with image analysis can be a promising tool for estimating moisture contents and contractions in wood.

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Stiffness and moisture content prediction model of wooden veneer using fast online near-infrared (NIR) spectroscopic system

Cited by 3 publications

References 10 publications

Techniques to Measure Moisture Content in Timber: A Review and Proposal for Inter-digital Sensing

Techniques to Measure Moisture Content in Timber: A Review and Proposal for Inter-digital Sensing

Effect of knots and holes on the modulus of elasticity prediction and mapping of sugi (Cryptomeria japonica) veneer using near-infrared hyperspectral imaging (NIR-HSI)

Hydromechanical behavior of wood during drying studied by NIR spectroscopy and image analysis

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