最新刊期
期 3 ， 2023
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摘要：Digital transformation has become an inevitable choice for enterprises to adapt to the digital economy and seek survival and development. Enterprise digital transformation is based on digital technology to reshape or innovate the business model, manufacturing model, and management model of the enterprise, in order to improve the organizational management and business operation efficiency, the quality of products (or services), and user experience. The digital transformation of home furnishing manufacturing is mainly reflected in the digital design and digital manufacturing of home furnishing products. Among them, the digital design is to support the whole process of home product design, development, and manufacturing through digital methods, and then efficiently meets the personalized needs of end-users. This paper mainly analyzes the status and trends of digital transformation, digital design, and digital manufacturing in custom home furnishing industry. It provides guidance for traditional furniture and custom home furnishing manufacturing, in the digital design and digital manufacturing.关键词：home furnishings enterprise;digital transformation;digital design;digital manufacturing- 140
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发布时间：2023-07-27
EMPOWER INTELLIGENT HOME MANUFACTURING WITH TECHNOLOGIES
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摘要：The ancient timber architecture is an important carrier of natural ecology and human civilization. It is an important basis for the maintenance and protection of ancient timber architecture to identify wood species. Meanwhile, it also deepens the understanding of how ancient ancestors used wood resources and further improves our understanding and knowledge of ancient human civilization. In this study, the "Nanmu" components from the Ming Dynasty Tombs and the Imperial Ancestral Temple were taken as the research objects. The DNA identification method for ancient wood, including DNA extraction, hybridization capture, and DNA data analysis was established to retrieve the high-quality plasmid DNA genomes from ancient wood components, with coverage of 99.04%~99.94% and an average sequencing depth of 17~110×. The average length of the obtained DNA fragments was 90~138 bp. The base substitutions, which occurred at the end of the fragments were consistent with the typical characteristics of ancient DNA. The woodspecies of architecture components in this study were identified as Phoebe zhennan and P. hui. The ancient-DNA identification method system was constructed to provide scientific and technic support for the accurate identification of timber species used in the ancient timber architecture.关键词：ancient architecture;wood structure;ancient DNA;hybridization capture;Wood anatomy- 234
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发布时间：2023-07-27 -
摘要：Yeast protein has the advantages of high production efficiency, which is used to prepare protein adhesives. In this study, the plywood adhesive with excellent performance was successfully developed using yeast protein/crosslinker/fiber co-crosslinking fiber reinforcement protein adhesive system, which apllied yeast protein as the matrix and ammoniated waste paper fiber as the reinforced skeleton. With the cross-linking of epoxy cross-linker, dense chemical connections were formed between the multiple side groups of the fiber skeleton and protein matrix, which improved the interfacial bonding between protein and fiber. The fiber reinforcement substantially improved the adhesive bonding performance. Adding 1.5% of ammoniated waste paper fiber to the adhesive, the wet shear strengths of plywood reached 0.79 MPa for type I and 1.76 MPa for type II respectively, which met the strength requirements of plywood class Ⅰ and II in GB/T 9846—2015 "Plywood for general use".关键词：yeast protein;ammoniated waste paper fiber;adhesive;plywood- 56
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发布时间：2023-07-27 -
摘要：The combination of surface compression and pressurized heat treatment is an environment friendly physical method for wood modification at a low cost, which significantly improve the hardness and dimensional stability of low-density wood. Populus tomentosa sapwood was subjected to surface compression. The deformation produced was temporarily fixed after drying. Then, the pressurized heat treatment at 180 °C and 0.1~0.7 MPa was used to permanently fix the compressive deformation. The effects of surface compression and steam pressure on the set-recovery, hardness, and micromechanical behavior of poplar wood were investigated. Compared with uncompressed wood, when the compression ratio was 20%, the average density of the compressed layer, surface hardness, and hardness of surface-compressed wood (SC wood) were increased by about 98%, 70%, and 55%, respectively. The effect of steam pressure on the fixed compressive deformation was extremely significant. The pressurized heat treatment at 0.5 MPa blocks the compressive deformation to rebound under moisture absorption, while a reduction in set-recovery was 2.64% by immersion in water. When the pressurized heat treatment was at 0.7 MPa, it permanently fix the compressive deformation to 98%. With the increase of the steam pressure, the surface hardness and hardness decreased first and then increased, but the difference was not statistically significant. The pressurized heat treatment with a pressure of 0.5 MPa significantly improve the elasticity modulus and hardness of cell walls measured by nanoindentation.关键词：wood;surface compression;pressurized heat treatment;set-recovery;hardness- 118
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发布时间：2023-07-27 -
摘要：In order to improve the utilization of Litchi chinensis pruning wood, Litchi chinensis wood/plastic composites (LWPC) were prepared by extrusion molding of Litchi chinensis pruning wood fibers and high-density polyethylene. The thermal stability of Litchi chinensis wood was measured using the thermogravimetric method. The fiber morphology of Litchi chinensis wood was evaluated using stereomicroscope. The effect of Litchi chinensis wood particle size on the performance of LWPC was analyzed. The results showed that the temperature was 255 ℃ when Litchi chinensis wood fibers initially degraded. As the size of Litchi chinensis wood fiber decreases, its length-diameter ratio first increases and then gradually decreases. In dynamic rheological testing, as the particle size decreases, the equilibrium torque and equilibrium shear heat of LWPC-melt first decrease and then increase, while the storage modulus, loss modulus, and complex viscosity increase. In dynamic thermal-mechanical testing, the storage modulus and loss modulus of LWPC gradually increase with the decrease in the particle size. The density, water absorption, and mechanical properties of LWPC show an increasing trend, while the water absorption thickness expansion rate shows a decreasing trend. Considering the processing rheological properties, physical, and mechanical properties of LWPC, the particle size of < 300 μm is suggested to prepare LWPC. The maximum bending strength and flexural modulus of the LWPC are 31.11 MPa and 2.91 GPa respectively, which meet the performance requirements of GB/T 24137—2009 Wood Plastic Decorative Panels.关键词：Litchi chinensis wood;particle size of wood fiber;wood-plastic composite;mechanical property;rheological properties- 59
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发布时间：2023-07-27 -
摘要：This paper investigated effects of different densities and moisture contents on the modulus of rupture (MOR) and modulus of elasticity (MOE) of bamboo-based fiber composite panels. A predictive model was developed to predict the effects of density and moisture content on MOR and MOE. The results showed that the density was positively correlated with the flexural properties of panels in the test range. With the increase in the moisture content, the flexural properties of the composite panels increased first and then decreased. Based on predictive model, the panels with the pressed density of 1.17 g/cm3 and the moisture content of 11% obtain a higher MOR, which was 151.32 MPa. When pressed density was of 1.20 g/cm3 and the moisture content was of 10.65%, the panel obtains a higher MOE of 19.68 GPa. The study provided reference for improving bamboo-based fiber composites flexural properties and a theoretical guidance for practical production.关键词：bamboo-based fiber composites;density;moisture content;flexural properties;predictive models- 68
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发布时间：2023-07-27 -
摘要：Wood inspection of large batch considers the inspectors' workload in addition to ensuring reasonable accuracy. Therefore, it is crucial to research the wood sampling plan for large batches. The historical sample data were combined, in order to create a random sampling scheme allotted by the batch percentage using the wood categorization method. Then MATLAB was used to fit and establish a regression equation. Based on the random sampling method, the design effect (design effect, deff) of complicated sampling was explored. The relaxed and strict constraints were implemented. Three different sampling schemes were developed using the stratified sampling mode, including single tree species or multiple tree species grouped random sampling, ungrouped random sampling of multiple tree species, and random sampling of sample information which cannot be judged on site. Inspection batches were set according to various classification methods. The effectiveness of each research plan was tested in practice and compared to the current sampling plan. Three exploratory sampling schemes all speed up the calculation of sample size in batch wood sampling and are viable in terms of parameter interval and execution. This study is applicable to wood on-site inspection, which increase wood inspection's efficacy.关键词：wood inspection;lot;sampling scheme;sample size- 42
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发布时间：2023-07-27 -
摘要：In order to improve the current two-stage method for particleboard surface defects detection, including a large amount of computation and a low robustness of the machine learning recognition, this paper proposes a lightweight detection method based on modified YOLOv5s, namely Lite-YOLOv5s. First, the Ghost Bottleneck module is introduced into the backbone and neck networks to lower the model parameters and reduce the model calculation cost. Secondly, the Coordinate Attention (CA) mechanism is added to the backbone network, while the Spatial Pyramid Pooling-Fast (SPPF) module is replaced by the Simplify Spatial Pyramid Pooling-Fast (SimSPPF) module to ensure that the model can still have a good detection effect after reducing the amount of computation. Finally, in replacing the neck network, a Deep Wise Convolution module (DWConv) is used to further optimize the model operation cost. The Lite-YOLOv5s model was applied to model training and validation on four surface defect data sets of particleboards in a factory. Then the trained model was applied to defect detection of particleboard images. The results showed that the Lite-YOLOv5s model had more than 90% mAP for the four defects of shavings, glue spots, oil stains, and dust spots, and more than 75% mean average precious (mAP) for the core leakage defect with a small number of samples. Compared with the original YOLOv5s model, the model training time is reduced by about 3.58%, the model parameter amount is reduced by about 63.5%, the model weight file size is reduced by about 60.54%, and the model floating point calculation amount is reduced by about 65.2%. While the detection accuracy is maintained, the model running cost is effectively reduced as well as facilitating deployment in edge devices with limited resources.关键词：particleboard;surface defect detection;image;Lite-YOLOv5s;lightweight;Deep learning- 64
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发布时间：2023-07-27
RESEARCH PAPERS
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摘要：High energy consumption is a common problem in wood sawing; while the cutting power significantly affects the energy consumption. In this study, oak wood (Quercus spp.) was cut with carbide circular saws to investigate the effect of sawing parameters (rake angle, rotation speed, and feed speed) on the cutting power. The power was measured in 27 sets of tests through a 3-factor, 3-level design. The sawing parameters were analyzed by variance analysis. A regression equation for cutting power was established. The results show that the cutting power during sawing oak wood decreases as the rake angle of the saw teeth increases; the cutting power decreases as the rotation speeds increases; and the cutting power increases as the feed speed increases. The effect of each sawing parameter on the cutting power is in descending order: feed speed > rotation speed > rake angle. The coefficient of determination of the linear model based on the analysis of variance is 0.9065. The regression equation predicts that when the cutting power is calculated at 25° of the rake angle under different sawing parameters, the error rate is less than 8.22% compared to the measured value, indicating that the model is suitable for predicting the cutting power of oak wood.关键词：oak;cutting power;rake angle;rotation speed;feed speed- 48
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发布时间：2023-07-27
RESEARCH BRIEFING
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摘要：According to the characteristics of the laminated wooden door manufacturing process and product management requirements, a radio frequency identification (RFID) technology model for wooden door manufacturing lines is studied. RFID tags are used as the main information carriers in the production, warehousing, logistics, installation, and after-sales of wooden doors. It constructs vertically distributed system framework of information collection and processing based on RFID technologies. It also gives the system process of each function module. The application results show that the model can replace the traditional quick response (QR) code system and solve the problems in the traditional production, such as polluted QR code surface, repeated paste codes, readable but non-written data, and easily missing/omitting data information. The production efficiency of the wooden door is improved from the original 1.5 minutes per set to 1.0 minute per set, and the comprehensive management time is shortened from the original 10~15 minutes per set to 5 minutes per set. Finally, the management requirements of the laminated wooden door processing, warehousing, logistics, installation, and maintenance are realized.关键词：laminated wooden door manufacturing;RFID technology;integrated management- 47
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发布时间：2023-07-27
APPLIED TECHNOLOGY
- Address：Box 29，Research Institute of Wood Industry, No. 1, Dongxiaofu, Haidian District, Beijing Postal code：100091
- Tel：010-62889419 Email：mckx@caf.ac.cn
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