Investigation of suberinic acids-bonded particleboard

Tupčiauskas, Ramūnas; Rizhikovs, Janis; Grīniņš, Juris; Pāže, Aigars; Andžs, Mārtiņš; Brazdausks, Prans; Puķe, Māris; Pļavniece, Ance

doi:10.1016/j.eurpolymj.2019.01.061

Cited by 21 publications

(13 citation statements)

References 21 publications

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“…e mixture was put in a 30 × 30 cm 2 steel mold with stops that allowed reaching a thickness of 0.6 cm. e amount of mixture was weighed and calculated to obtain a target density of 0.75 g/cm 3 . e mold with the mixture was then placed in the preheated hot press machine (SDR100 × 90, Qingdao Guosen Machinery, Co., Ltd.) under 4.5 MPa at 138°C for 30 min.…”

Section: Preparation Of Soy-based Adhesives and Particleboradmentioning

confidence: 99%

“…Particleboard is considered as one of the world's favorite wood-based panels owing to low expense and excellent processing performance [1]. e consumption of particleboard is more than the half of the whole woodbased panel consumption, and the market demand for particleboard is continuously increasing from 2 to 5% annually [2,3]. e applications of particleboard are mainly housing construction, interior decoration, and furniture manufacturing.…”

Section: Introductionmentioning

confidence: 99%

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Preparation of Reed Straw-Based Panels Bonded by Soy-Based Adhesives: Optimization via Response Surface Methodology

Zhang

Wang²,

Lou³

et al. 2020

Advances in Materials Science and Engineering

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The optimization of manufacturing conditions for reed straw-based particleboard by soy-based adhesive was performed through response surface methodology. The interactions of various conditions, including adhesive amount, hot-pressing temperature, and hot-pressing time on wet internal bonding strength were investigated. A 3-level-3-factor Box–Behnken design was used to test the optimal preparation conditions of reed straw particleboard. The polynomial regression model for manufacturing conditions had a very significant level ( p < 0.01 ). In addition, the determination coefficient (R2) and the adjust determination coefficient ( R 2 ) of this model were found to be 0.969 and 0.9292, respectively. The conditions optimized by the model were 25% of adhesive amount, 138°C of hot-pressing temperature, and 27 min of hot-pressing time. Under the optimal conditions, validation tests were performed, and the average value of parallel experiments was 0.17 ± 0.02 MPa. Moreover, the thickness swelling of water absorption after soaking and mechanical properties (MOE and MOR) of samples prepared under optimized conditions were further measured, which all met the requirement of Type P6 particleboard. It could provide an efficient method for massive production of reed straw particleboard.

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Section: Preparation Of Soy-based Adhesives and Particleboradmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Preparation of Reed Straw-Based Panels Bonded by Soy-Based Adhesives: Optimization via Response Surface Methodology

Zhang

Wang²,

Lou³

et al. 2020

Advances in Materials Science and Engineering

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“…These regions are cross-linked and various depolymerization methods are proposed to obtain SA monomers and oligomers. The most common method is alkaline hydrolysis in water [ 8 , 9 ] and other solvents, such as isopropanol [ 2 , 6 ]. Our previous research showed that SA obtained by hydrolytical depolymerization can be further used as a bio-based adhesive in the preparation of environmentally friendly wood composites, such as plywood and particle boards.…”

Section: Introductionmentioning

confidence: 99%

“…The particle boards made from SA-based adhesive in hot-pressing process exhibited satisfactory water-resistant properties as determined by low thickness swelling values. In addition, the high internal bonding values showed that the SA-based adhesive has as good compatibility with wood particles as a filler [ 9 , 10 ]. The satisfactory water resistance is explained by the lipophilic properties of suberin [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

Utilization of Suberinic Acids Containing Residue as an Adhesive for Particle Boards

et al. 2022

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The birch (Betula spp.) outer bark is a valuable product rich in betulin. After removal of betulin extractives, suberin containing tissues are left. Suberin is a biopolyester built from α,ω-bifunctional fatty acids (suberinic acids), which after depolymerization together with lignocarbohydrate complex is a potential adhesive as a side-stream product (residue) from obtaining suberinic acids for polyol synthesis. In this work, we studied the utilization possibilities in particleboards of the said residue obtained by depolymerization in four different solvents (methanol, ethanol, isopropanol and 1-butanol). The adhesives were characterised by chemical (acid number, solubility in tetrahydrofuran, epoxy and ash content) and instrumental analytical methods (SEC-RID, DSC, TGA and FTIR). Based on the results of mechanical characteristics, ethanol was chosen as the most suitable depolymerization medium. The optimal hot-pressing parameters for particleboards were determined using the design of experiments approach: adhesive content 20 wt%; hot-pressing temperature 248 °C, and hot-pressing time 6.55 min.

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“…It was shown that the use of bagasse and eucalyptus slag in the production of high-density particleboard was feasible. Tupciauskas et al (2019) proposed the use of nonformaldehyde biological-based adhesives in the particleboard production. Souza et al (2018) tested the impact of each process parameter and their interactions on the physical and mechanical properties.…”

Section: Introductionmentioning

confidence: 99%

A new model based on principal component regression-random forest for analyzing and predicting the physical and mechanical properties of particleboard

Yang

et al. 2021

BioRes

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The physical and mechanical properties are key indexes for determining the quality of particleboards. For this reason, a study on evaluating the physical and mechanical properties of particleboard via a new method has considerable value. Thus, a method based on principal component regression (PCR) analysis and random forest (RF) is proposed in this paper. First, the problems requiring resolution are described after analyzing the production process parameters as well as the physical and mechanical properties of particleboard. Then, an analysis and prediction models based on the PCR and RF method is established. On the basis of the PCR method, the key process parameters that affect various physical and mechanical properties are determined. Based on the RF method, the analysis and prediction model are built from the previously determined process parameters of the physical and mechanical properties. Finally, through experimental analysis, the effectiveness of the analysis and prediction models based on the PCR and RF method are verified. This work was able to determine the relationship between the process parameters and the physical and mechanical properties, which can help improve practical industrial manufacturing effectivity.

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Investigation of suberinic acids-bonded particleboard

Cited by 21 publications

References 21 publications

Preparation of Reed Straw-Based Panels Bonded by Soy-Based Adhesives: Optimization via Response Surface Methodology

Preparation of Reed Straw-Based Panels Bonded by Soy-Based Adhesives: Optimization via Response Surface Methodology

Utilization of Suberinic Acids Containing Residue as an Adhesive for Particle Boards

A new model based on principal component regression-random forest for analyzing and predicting the physical and mechanical properties of particleboard

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