Influence of Fiber Deviation on Strength of Thin Birch (Betula pendula Roth.) Veneers

Pramreiter, Maximilian; Bodner, Sabine C.; Kečkéš, Jozef; Stadlmann, Alexander; Kumpenza, Cedou; Müller, Ulrich

doi:10.3390/ma13071484

Cited by 10 publications

(3 citation statements)

References 33 publications

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“…The general fit between the observed data and the failure criteria curves indicates suitable approaches for describing the relationship between strength and laser angle measurements. The material properties applied in the failure criteria are obtained from [41,42]; where tensions strength parallel to the grain, perpendicular to grain, and shear strength are f t;0 ¼ 119 MPa, f t;90 ¼ 7:16 MPa, and f v ¼ 9:8 MPa, respectively. Transverse isotropy of the material is assumed.…”

Section: The Influence Of Laser Angle On Tensile Strengthmentioning

confidence: 99%

Grain angle determination of silver birch by laser light scattering and tensile fracturing

Collins

Fink

2022

Mater Struct

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Reliable non-destructive methods for grain angle determination are essential for the evaluation of mechanical properties of timber. In the present study, the detection of grain angle by means of laser light scattering patterns is investigated on small-scale specimens and timber boards of silver birch, along with the relationship to fracture angle and tensile strength. Results on small-scale specimens indicate applicability of laser scattering method, as the detected grain angles and the fracture angles show a strong correlation, $$r = 0.94$$ r = 0.94 . Three-dimensional grain angles, derived from surface grain angles, show a well defined relationship to strength, which can be described with wood-based failure criteria from literature. Furthermore, the paper presents new findings regarding the detection of flame wood through laser scattering. It was shown that small-scale specimens with flame wood tend to have higher grain angles, higher density, and lower strength, relative to specimens without. Nevertheless, for timber boards, the influence of flame wood on the strength was insignificant.

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Section: The Influence Of Laser Angle On Tensile Strengthmentioning

confidence: 99%

Grain angle determination of silver birch by laser light scattering and tensile fracturing

Collins

Fink

2022

Mater Struct

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“…With the improvement of people's standards of living, Betula(Betula costata) wood provides a large amount in savings, has a greater economic value and is a high-quality wood. Betula is light brown with a bright surface, high mechanical strength and elasticity [2].…”

Section: Introductionmentioning

confidence: 99%

Intelligent Automation Manufacturing for Betula Solid Timber Based on Machine Vision Detection and Optimization Grading System Applied to Building Materials

Zhang

Diao

et al. 2023

Forests

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Wood material is the foundation of wood structure architecture, and its production technology and equipment technology decide the development and upgrading of modern wood structure architecture. Aiming at the problems of low automation degree, low material utilization rate, low production efficiency and high labor costs in the process of traditional wood processing, we explore the integration and innovation of the traditional wood processing industry and modern industrial Internet information technology on the basis of studying the properties of Betula (Betula costata) solid wood materials, wood comprehensive utilization rate, wood structure component development and processing technology requirements, and form an intelligent, automatic and industrial production mode for building materials. Through technology and methods such as mechanical design, automation technology, machine vision, deep learning, optimization algorithm, electronic design automation, computer aided manufacturing, etc., the key technologies of intelligent automatic optimization of wood materials were studied, and intelligent automatic production lines of Betula species identification, log optimization sawing, solid timber longitudinal multiblade sawing, sawn timber quality detection and solid timber optimizing cross-cuts are built. Based on the machine vision method, features are extracted; a tree species, defect classification and recognition model database is established; an image processing algorithm with high recognition accuracy, as well as fast processing speed and high robustness are studied; non-destructive testing and classification methods of machine vision are optimized; key problems of online rapid classification, detection and optimization of sawing are solved and production quality and processing efficiency are improved. Finally, the timber defect detection accuracy and Betula timber yield are analyzed, and the comprehensive utilization value of optimized sawing timber is compared with the comprehensive utilization value of manually marking sawing timber. The processing cost and efficiency of Betula sawing timber with an intelligent automatic production line are calculated. The test results show that the average detection accuracy of timber defect type, size and location is 89.69%, 89.69%, 92.25% and 82.29%, respectively, and the detection stability is high. By adopting intelligent automatic detection, classification and optimization sawing production line of wood, the comprehensive utilization value of optimized sawing timber is 14.13% higher than that of manual marking sawing timber, and 16,089.29 m3 more building materials can be processed annually. In the process of intelligent automatic wood processing, the intelligent detection system is used to detect defects, improve production performance and production efficiency and reduce labor costs. Compared with the traditional wood processing process, the method studied in this paper is improved to optimize the production line processing performance and processing technology. The research and development of an intelligent automatic production system for solid wood can promote the application and development of an automatic industrial production mode for sawn timber for the wood structure construction industry, deepen the integration of artificial intelligence technology, Internet technology and the whole wood processing industry and lead the upgrading of building materials for wood structures to an intelligent manufacturing production mode.

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“…The strong material properties of wood are of increasing interest for new applications and processes, in part due to the sustainability of wood. In particular, veneerbased materials have been studied due to their flexible structure and exploitation of the inherent material properties (Eckardt and Eichhorn 2010;Kohl et al 2014;Berthold 2016;Jost et al 2018;Müller et al 2020;Pramreiter et al 2020;Heyner et al 2021;Weißenborn et al 2021). The use of veneer-based materials in new applications and processes has increased in recent years (Denes et al 2017;Lignotube 2022;Lignoa Leichtbau 2021).…”

Section: Introductionmentioning

confidence: 99%

Transfer of the interlaminar shear test to veneer layer-based composites for qualitative evaluation of layer adhesion

Siegel

Buchelt

Wagenführ

2022

BioRes

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This study aimed to investigate the suitability of the interlaminar shear (ILS) testing method for veneer-based composites. The ILS testing method is an established method for composite materials as a qualitative evaluation of the adhesion within the composite. The applicability of this method to veneer based composites enables a simple qualitative statement on the adhesion of the individual layers. The ILS method complements existing wood-based material tests that focus on bonding, using significantly smaller material dimensions.

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Influence of Fiber Deviation on Strength of Thin Birch (Betula pendula Roth.) Veneers

Cited by 10 publications

References 33 publications

Grain angle determination of silver birch by laser light scattering and tensile fracturing

Grain angle determination of silver birch by laser light scattering and tensile fracturing

Intelligent Automation Manufacturing for Betula Solid Timber Based on Machine Vision Detection and Optimization Grading System Applied to Building Materials

Transfer of the interlaminar shear test to veneer layer-based composites for qualitative evaluation of layer adhesion

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