Effects of light thermal treatments on the color, hygroscopity and dimensional stability of wood

Liu, Xin You; Tu, Xin Wei; Liu, Mihaela

doi:10.37763/wr.1336-4561/66.1.95104

Cited by 16 publications

(11 citation statements)

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“…Studying the effects of thermal treatment on the Pinus nigra wood, GULLER [40] verified that when the temperature increased from 190 to 225 °C and the exposure time from 60 to 180 min, the volumetric shrinkage decreased by 72% compared to the control samples. Also, LIU et al [41] determined that thermal treatments with temperatures of 140, 160, and 180 °C, with exposure times of 2 and 4 h, resulted in a decrease in the hygroscopicity and 66% of the volumetric shrinkage of Ailanthus desf wood.…”

Section: Discussionmentioning

confidence: 99%

Effect of thermal treatment on the physical properties of GG100 clone Eucalyptus wood

et al. 2022

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Thermal treatment can modify undesirable characteristics of some woods, dimensional instability, and excessive water adsorption. The present research work aimed to assess the effect of thermal treatment on the physical properties of clone GG100 Eucalyptus wood. Wood samples were obtained from 9 year-old trees. Samples were subjected to three types of thermal treatment (T1, T2, and T3). In T1, the wood was kept in a laboratory kiln at 100 °C for 180 min. In T2, hydrothermal treatment was performed in an autoclave at 120 °C for 120 min. In T3, the combined autoclave and laboratory kiln treatments were employed. The properties evaluated were apparent density (ρa); mass loss (ML); longitudinal (βl), radial (βr), tangential (βt), and volumetric shrinkage (βv); anisotropic factor; and equilibrium moisture content. The treatments caused a decrease of ρa and increase of ML. The Equilibrium Moisture Content (EMC) was lowest for T3, and had a negative correlation with ML, βt, and ∆v. The Pearson correlation analysis indicated the results of the thermal treatments were similar, but T1 presented the lowest variation of the physical properties compared to the other treatments, giving it the best predictability for practical uses.

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Section: Discussionmentioning

confidence: 99%

Effect of thermal treatment on the physical properties of GG100 clone Eucalyptus wood

et al. 2022

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“…Furthermore, they observed that the radial swelling was less than the tangential swelling. Similarly, Liu et al [11] concluded that the swelling of heat-treated Ailanthus wood was lower in all directions than that of untreated wood, with the tangential swelling greater than the radial swelling.…”

Section: Introductionmentioning

confidence: 92%

Prediction of Physical and Mechanical Properties of Heat-Treated Wood Based on the Improved Beluga Whale Optimisation Back Propagation (IBWO-BP) Neural Network

Wang,

et al. 2024

Forests

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The physical and mechanical properties of heat-treated wood are essential factors in assessing its appropriateness for different applications. While back-propagation (BP) neural networks are widely used for predicting wood properties, their accuracy often falls short of expectations. This paper introduces an improved Beluga Whale Optimisation (IBWO)-BP model as a solution to this challenge. We improved the standard Beluga Whale Optimisation (BWO) algorithm in three ways: (1) use Bernoulli chaos mapping to explore the entire search space during population initialization; (2) incorporate the position update formula of the Firefly Algorithm (FA) to improve the position update strategy and convergence speed; (3) apply the opposition-based learning based on the lens imaging (lensOBL) mechanism to the optimal individual, which prevents the algorithm from getting stuck in local optima during each iteration. Subsequently, we adjusted the weights and thresholds of the BP model, deploying the IBWO approach. Ultimately, we employ the IBWO-BP model to predict the swelling and shrinkage ratio of air-dry volume, as well as the modulus of elasticity (MOE) and bending strength (MOR) of heat-treated wood. The benefit of IBWO is demonstrated through comparison with other meta-heuristic algorithms (MHAs). When compared to earlier prediction models, the results revealed that the mean square error (MSE) decreased by 39.7%, the root mean square error (RMSE) by 22.4%, the mean absolute percentage error (MAPE) by 9.8%, the mean absolute error (MAE) by 31.5%, and the standard deviation (STD) by 18.9%. Therefore, this model has excellent generalisation ability and relatively good prediction accuracy.

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“…As the concept of green environmental protection gains popularity, wood has become a favored material due to its environmentally friendly, renewable, and sustainable properties. It is widely used in various industries, such as construction, interior design, and furniture manufacturing. − However, the natural visual characteristics of wood are often insufficient to meet economic and practical requirements. To enhance the aesthetic appeal of wood by improving its color defects, increasing its value, and simulating rare and precious wood species, , various dyes are commonly used for coloring wood to meet people’s aesthetic needs for the color of wood while maintaining its eco-friendliness …”

Section: Introductionmentioning

confidence: 99%

Effect of NaOH Pretreatment on Permeability and Surface Properties of Three Wood Species

Qi,

Zhou,

et al. 2023

ACS Omega

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To improve the permeability of wood, three chemical reagents were used to pretreat Chinese fir, white oak, and poplar. Through a factorial experiment with the mass change rate of the wood as the indicator, NaOH was preliminarily selected as the pretreatment agent. Further orthogonal experiments were conducted to explore the effects of NaOH concentration, temperature, and treatment time on the mass change rate, dye uptake rate, transverse dye penetration rate, and color difference of the wood. A fuzzy, comprehensive analysis was used to optimize the pretreatment process. The results showed that after NaOH pretreatment, the highest mass change rates of Chinese fir, white oak, and poplar were 11.30, 10.66, and 8.53%, respectively. Compared with untreated wood, the dye uptake rate of three wood species increased by 1.05, 1.43, and 1.13 times, respectively; the radial dye penetration rate increased by 5.05, 4.14, and 3.38 times, respectively; and the tangential dye penetration rate increased by 3.91, 3.45, and 3.84 times, respectively. These findings indicate an enhancement in permeability for all three wood species following NaOH pretreatment. The brightness of the three wood species decreased after NaOH pretreatment, while the yellow and red colors increased in Chinese fir and poplar and decreased in white oak. Scanning electron microscopy showed that pits in the wood opened after pretreatment, while extractives decreased. Infrared spectroscopy analysis indicated varying degrees of extraction effects from NaOH pretreatment across the three wood species, along with increased active hydroxyl groups within the wood structure. X-ray diffraction analysis revealed that NaOH dissolved noncrystalline substances in wood, leading to improved crystallinity. These experimental findings provide essential data for future endeavors in wood pretreatment and subsequent staining processes.

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Effects of light thermal treatments on the color, hygroscopity and dimensional stability of wood

Cited by 16 publications

References 0 publications

Effect of thermal treatment on the physical properties of GG100 clone Eucalyptus wood

Effect of thermal treatment on the physical properties of GG100 clone Eucalyptus wood

Prediction of Physical and Mechanical Properties of Heat-Treated Wood Based on the Improved Beluga Whale Optimisation Back Propagation (IBWO-BP) Neural Network

Effect of NaOH Pretreatment on Permeability and Surface Properties of Three Wood Species

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