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Recycling Particleboard by Acid Hydrolysis: Effects on the Physical, Thermal, and Chemical Characteristics of Recycled Wood Particles
Gustavo E. Rodríguez,
Rosilei Garcia,
Alain Cloutier
Posted: 18 April 2025
Modelling and Analysis of the Cooling Process in Post-Hot Flat-Pressed Wood-Plastic Composites
Pavlo Lyutyy,
Pavlo Bekhta,
Ján Sedliačik
Posted: 17 April 2025
Valorisation of Forest Waste into Natural Textile Dyes – Case Study of Pine Cones
Anna Barreto,
Jorge M Martins,
Nuno Ferreira,
Isabel Brás,
Luisa M. H. Carvalho
Posted: 03 April 2025
The Creation and Testing of a New Biodegradable Diapermade of Kapok Fiber and Bamboo Cloth
Jose Jessie Manaloto Maravilla,
Miguel Antonio Alvarez Aganon,
Apollo T Duque,
Michael Julian I De Los Reyes,
Jinhyung Park
Posted: 28 March 2025
Veneer Composites for Structural Applications – Mechanical Parameters as Basis for Design
Robert Krüger,
Beate Buchelt,
Mario Zauer,
André Wagenführ
Posted: 03 March 2025
Research on the Preparation of Supercapacitor Separators with High Wettability and Excellent Temperature Adaptability through In Situ Deposition of Nano-Barium Sulfate on Regenerated Cellulose
Hui Li,
Jiehua Li,
Chuanshan Zhao,
Fenfen Zhao
With portable electronics and new-energy vehicles booming, the demand for high-performance energy storage devices has skyrocketed. Supercapacitor separators are thus vital. Traditional ones such as polyolefins and non-woven fabrics have limitations, while cellulose and its derivatives, with low cost, good hydrophilicity, and strong chemical stability, are potential alternatives. This study used regenerated cellulose Lyocell fibers. Through fiber treatment, refining, and in situ deposition, a composite regenerated cellulose separator (NFRC-Ba) with nano-barium sulfate was made. Its physical, ionic, and charge–discharge properties were tested. The results show that NFRC-Ba excels in terms of mechanical strength, porosity, hydrophilicity, and thermal stability. Compared with the commercial NKK30AC-100 separator, it has better ionic conductivity, better ion-transport ability, a higher specific capacitance, better capacitance retention, and good cycle durability. It also performs stably from -40°C to 100°C. With a simple and low-cost preparation process, NFRC-Ba could be a commercial separator for advanced supercapacitors.
With portable electronics and new-energy vehicles booming, the demand for high-performance energy storage devices has skyrocketed. Supercapacitor separators are thus vital. Traditional ones such as polyolefins and non-woven fabrics have limitations, while cellulose and its derivatives, with low cost, good hydrophilicity, and strong chemical stability, are potential alternatives. This study used regenerated cellulose Lyocell fibers. Through fiber treatment, refining, and in situ deposition, a composite regenerated cellulose separator (NFRC-Ba) with nano-barium sulfate was made. Its physical, ionic, and charge–discharge properties were tested. The results show that NFRC-Ba excels in terms of mechanical strength, porosity, hydrophilicity, and thermal stability. Compared with the commercial NKK30AC-100 separator, it has better ionic conductivity, better ion-transport ability, a higher specific capacitance, better capacitance retention, and good cycle durability. It also performs stably from -40°C to 100°C. With a simple and low-cost preparation process, NFRC-Ba could be a commercial separator for advanced supercapacitors.
Posted: 21 February 2025
Machine Learning Algorithms and Nondestructive Methods for Estimating Wood Density in Planted Forest Trees
Rafael Gustavo Mansini Lorensani,
Raquel Gonçalves
Inferring forest properties is crucial for the timber industry, enabling efficient monitoring, predictive analysis, and optimized management. Nondestructive testing (NDT) methods have proven to be valuable tools for achieving these goals. Recent advancements in data analysis, driven by machine learning (ML) algorithms, have revolutionized this field. This study analyzed 492 eucalyptus trees, aged 3 to 7 years, planted in São Paulo, Brazil. Data from forest inventories were combined with results from ultrasound, drilling resistance, sclerometric impact, and penetration resistance tests. Seven machine learning algorithms were evaluated to compare their generalization capabilities with conventional statistical methods for predicting basic wood density. Among the models, Extreme Gradient Boosting (XGBoost) achieved the highest accuracy, with a coefficient of determination (R²) of 89% and a root mean square error (RMSE) of 10.6 kg·m⁻³. In contrast, the conventional statistical model, using the same parameters, yielded an R² of 33% and an RMSE of 26.4 kg·m⁻³. These findings highlight the superior performance of machine learning in nondestructive inference of wood properties, paving the way for its broader application in forest management and the timber industry.
Inferring forest properties is crucial for the timber industry, enabling efficient monitoring, predictive analysis, and optimized management. Nondestructive testing (NDT) methods have proven to be valuable tools for achieving these goals. Recent advancements in data analysis, driven by machine learning (ML) algorithms, have revolutionized this field. This study analyzed 492 eucalyptus trees, aged 3 to 7 years, planted in São Paulo, Brazil. Data from forest inventories were combined with results from ultrasound, drilling resistance, sclerometric impact, and penetration resistance tests. Seven machine learning algorithms were evaluated to compare their generalization capabilities with conventional statistical methods for predicting basic wood density. Among the models, Extreme Gradient Boosting (XGBoost) achieved the highest accuracy, with a coefficient of determination (R²) of 89% and a root mean square error (RMSE) of 10.6 kg·m⁻³. In contrast, the conventional statistical model, using the same parameters, yielded an R² of 33% and an RMSE of 26.4 kg·m⁻³. These findings highlight the superior performance of machine learning in nondestructive inference of wood properties, paving the way for its broader application in forest management and the timber industry.
Posted: 22 January 2025
A Comparative Study and Thermophysical Characterization of Wool Fiber from Different Regions of Morocco
Nabil Aazou,
Faical Zaim,
Said Gmouh
Wool fibers have long been used in home textiles and clothing, but their future looks even more promising with the growing consumer demand for natural, renewable, and sustainable materials. Beyond traditional clothing, wool is gaining increasing attention in the field of technical textiles due to its unique properties that make it suitable for a wide range of applications. As a natural and renewable fiber, wool offers benefits including tremendous moisture absorption, temperature law, and flame resistance, which make it a perfect material for technical textiles. In this study, two styles of Moroccan wool (Sardi and Timahdite), sourced from one-of-a-kind areas become accrued to explore their bodily and chemical homes and to investigate their capacity use within the manufacturing of nonwoven textiles for technical applications. Various analyses were carried out, inclusive of Fourier-remodel infrared spectroscopy and the Optical Fiber Diameter Analyzer, together with numerous check techniques based totally on global standards. These tests evaluated parameters which include grease content material, alkali content, acid content, solubility in alkali, and tensile strength. The results showed that Timahdite wool is the most suitable for nonwovens, way to its fineness and excessive absorbency compared with the Sardi wool.
Wool fibers have long been used in home textiles and clothing, but their future looks even more promising with the growing consumer demand for natural, renewable, and sustainable materials. Beyond traditional clothing, wool is gaining increasing attention in the field of technical textiles due to its unique properties that make it suitable for a wide range of applications. As a natural and renewable fiber, wool offers benefits including tremendous moisture absorption, temperature law, and flame resistance, which make it a perfect material for technical textiles. In this study, two styles of Moroccan wool (Sardi and Timahdite), sourced from one-of-a-kind areas become accrued to explore their bodily and chemical homes and to investigate their capacity use within the manufacturing of nonwoven textiles for technical applications. Various analyses were carried out, inclusive of Fourier-remodel infrared spectroscopy and the Optical Fiber Diameter Analyzer, together with numerous check techniques based totally on global standards. These tests evaluated parameters which include grease content material, alkali content, acid content, solubility in alkali, and tensile strength. The results showed that Timahdite wool is the most suitable for nonwovens, way to its fineness and excessive absorbency compared with the Sardi wool.
Posted: 08 January 2025
Advanced Phosphorus-Protein Hybrid Coatings for Fire Safety of Cotton Fabrics, Developed Through the Layer-by-Layer As-sembly Technique
Xuqi Yang,
Xiaolu Li,
Wenwen Guo,
Abbas Mohammadi,
Marjan Entezar Shabestari,
Ehsan Naderi Kalali,
Rui Li,
Shuyi Zhang
Posted: 06 January 2025
Enhanced Properties of Cryptomeria japonica from the Azores Through Heat-Treatment
Bruno Esteves,
Lina Nunes,
Rogério Lopes,
Luísa Cruz-Lopes
Posted: 20 December 2024
Exploring the Molecular Structure and Treatment Dynamics of Cellulose Fibres with Photoacoustic and Reversed Double-Beam Spectroscopy
Levente Csóka,
Worakan Csoka,
Ella Tirronen,
Ekaterina Nikolskaya,
Yrjö Hiltunen,
Bunsho Ohtani
Posted: 25 October 2024
A Brief Review of 3D Printing Technologies and Materials Used in Smart Textiles
Mahbub Alam Sayam,
Md. Al-Amin,
Rui Zhou,
Abdullah Al Mamun
Posted: 22 October 2024
Research on the structure and properties of traditional handmade bamboo paper during the ageing process
Zirui Zhu,
Kai Zhang,
Yu Xue,
Zhongming Liu,
Yujie Wang,
Yanli Zhang,
Peng Liu,
Xingxiang Ji
Posted: 11 October 2024
Strength, Durability and Aesthetics of Corner Joints and Edge Banding in Furniture Design: A Review
Zoran Vlaović,
Tomislav Gržan,
Ivica Župčić,
Danijela Domljan,
Goran Mihulja
Posted: 08 October 2024
Study for the Improvement of Disintegration Efficiency and Antibacterial Properties of Disposable Toilet Seat Cover Sheet Made of Cellulose Fibers
Ju-Hyun Park,
Chul-Hwan Kim,
Hyeong-Hun Park,
Tae-Gyeong Lee,
Min-Sik Park,
Jae-Sang Lee
Posted: 31 July 2024
Some Properties of Thermo-Treated Ash Wood
Aurel Lunguleasa,
Cosmin Spirchez,
Alin Olarescu
Posted: 17 July 2024
The Effect of Hardwood Veneer Densification on Plywood Density, Surface Hardness, and Screw Withdrawal Capacity
Heikko Kallakas,
Tolgay Akkurt,
Alexander Scharf,
Fred Mühls,
Anti Rohumaa,
Jaan Kers
Posted: 07 June 2024
Physical and Mechanical Analysis of Fiberboard Made Of MDF Residues and Phase Change Materials
Gustavo E. Rodríguez,
Cecilia Bustos Ávila,
Alain Cloutier
Posted: 18 April 2024
Fabrication of Anti-fatigue Double-Wrapped Yarns With Excellent Mechanical Properties for Generating Compression Fabrics
Qian Zhang,
Jiaqi Chen,
Ziqin He,
Wenfu Liu,
Andreii S. Kritchenkov,
Lu Wang,
Wanjun Liu,
Jing Gao
Posted: 11 April 2024
Fire-Resistant Fabrics for Special Applications – Analysis of Results
Anna Rabajczyk,
Justyna Gniazdowska,
Piotr Stojek,
Łukasz Bąk
Posted: 28 March 2024
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