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"Weaving Patterns."
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Effect of reinforced weave patterns on the mechanical performance and wear resistance of wool-epoxy composites
This work investigates the effects of fabric weave architecture on the mechanical and tribological properties of sheep wool/epoxy composites manufactured using the hand lay-up technique. Four different weave patterns, namely plain, twill, satin, and basket, were fabricated using a manual handloom and reinforced in an epoxy matrix. The mechanical, interfacial, and wear properties were characterized using tensile, flexural, impact, pull-out, and dry sliding wear tests according to ASTM specifications. Among all the architectures, the satin weave architecture showed the maximum tensile strength of 132.6 MPa, flexural strength, and yield strength due to its lower crimp and higher yarn alignment, which favoured better load transfer. On the other hand, twill architecture offered the best tribological characteristics, and the Taguchi L27 analysis evidenced that the sliding distance is the most dominating parameter that controlling the wear rate. The SEM images showed evidence of good fiber-matrix bonding in satin and twill composites, and the plain and basket architectures revealed higher fiber pull-out and brittle fractures. These observations establish that modifications in weaving architecture could help attain significantly improved stiffness, strength, and wear resistance, and thus wool-reinforced epoxy emerges as a bio-sustainable material for light-weight structural and tribological applications.
Journal Article
The weaving explorer : ingenious techniques, accessible tools & creative projects with yarn, paper, wire & more
\"The Weaving Explorer takes inspiration from the world of folk weaving traditions, adding a contemporary spin by introducing an unexpected range of materials and home dec projects\"-- Provided by publisher.
Book
A Study on the Aesthetic Preference of Bamboo Weaving Patterns Based on Eye Movement Experiments
Bamboo weaving is an intangible cultural heritage in China. Exploring people’s aesthetic preferences for bamboo weaving patterns to better serve the design of bamboo architectural decoration can help promote the upgrading of traditional crafts. This study explored the differences between genders in the oculomotor indicators in different bamboo weaving patterns through an eye-movement experimental study combined with a subjective questionnaire to explore whether different genders have aesthetic preferences for people’s pictures of bamboo weaving patterns. The results showed that both males and females preferred less visually striking and softer corrugated patterns, with males paying more attention to the more ‘angular’ hexagonal and triangular patterns, while females were more interested in the more regular and uniform brickwork and diagonal patterns.
Journal Article
Innovative Design Algorithm of Huizhou Bamboo Weaving Patterns Based on Deep Learning
In the field of innovative design of Huizhou bamboo weaving patterns, traditional deep learning algorithms cannot fully capture the fine structure and subtle changes of patterns, resulting in distorted or blurred results, and require a lot of computing resources and time during the training process. This paper constructs an improved ViT (Vision Transformer) model to collect diverse Huizhou bamboo weaving pattern data covering different styles and forms. In the data enhancement stage, common enhancement techniques such as rotation, scaling, flipping, and color perturbation are used to increase the diversity of training data. Based on the traditional ViT model, a local self-attention mechanism is applied to replace the traditional global self-attention mechanism. Mixed precision training and distributed training strategies are used to effectively accelerate the training process while maintaining high accuracy. The model automatically generates innovative designs by learning the style and structural characteristics of Huizhou bamboo weaving patterns, and adds a detail repair module in the generation process to enhance the detail expression of the pattern. The experimental results show that the improved ViT model tends to 0.95 after 50 training rounds, indicating that it performs well in detail preservation and structural similarity; with a sample data volume of 5000, the training time of the improved ViT model is 47.4 seconds, and the GPU memory usage is 37.1GB, providing higher computing efficiency. The experimental results prove the effectiveness of this paper’s research on the innovative design algorithm of Huizhou bamboo weaving patterns.
Journal Article
Contemporary weaving : bold colour, texture & design on the frame loom
\"Dive into eye-catching contemporary weaving, perfect for anyone that loves color, textiles, and learning something new. Both beginners and advanced weavers will learn to craft their own designs and make a variety of fine art projects, like wall hangings, pillows, and coasters, that bring home decor to the next level\"-- Provided by publisher.
BOOK
Exploring Gnetum Gnemon L. Fibers In Noken Bag: A Path to Sustainable Material Development Through Mechanical Testing
This research investigates the mechanical properties of Gnetum gnemon L. fibers, a traditional material used in Papua’s UNESCO-recognized Noken bags. The study examined three different weaving patterns (1×1, 2×1, and 2×2) to determine their tensile strength and elongation characteristics. Testing revealed that the 2×2 weave pattern demonstrated the highest tensile strength with a mean breaking force of 678.09 N, while the 1×1 pattern showed the greatest elongation at break at 195.37%. Compared to other natural fibers like pineapple, yucca, coir, cotton, and bamboo, Gnetum gnemon fibers exhibited superior mechanical properties with a tensile strength of 739 N and density of 1.72 g/cm³. These findings suggest significant potential applications in technical textiles, protective clothing, and composite materials. The study highlights the untapped potential of Gnetum gnemon fibers, particularly in Papua where the species is abundant yet underutilized. Further research on durability, environmental resistance, and industrial-scale performance would be valuable for developing practical applications of this promising natural fiber.
Journal Article
The weaver's inkle pattern directory
\"Over 400 patterns for inkle weaving\"-- Provided by publisher.
Book
Modelling the Constitutive Behaviour of Recycled PET for the Manufacture of Woven Fabrics
Recycling polyethylene terephthalate (rPET) from packaging materials consumes a vast amount of energy and incurs significant economic and environmental costs. This study proposes directly recycling rPET into woven fabrics to eliminate reprocessing while still preserving the mechanical performance of the material. The mechanical properties of rPET were tested along two orthogonal directions, and the resulting test data were used to calibrate an elasto-plastic model in order to capture the constitutive behaviour of the material. Additionally, the virtual weaving of rPET fibres into fabrics was modelled using finite element analysis (FEA) to replicate the actual manufacturing process. The results show that rPET that is directly recycled into woven fabrics exhibits superior performance to the same material derived from reprocessing. A strong anisotropy of rPET materials was observed, with distinct elastic and ductile behaviours. The FEA simulation also revealed the critical role of the ductility of rPET fibres when used as warp yarns. The process parameters to achieve a successful weaving operation for different yarn configurations, taking into account the motion and tension of the fibres during manufacture, were also identified. A further sensitivity study highlights the influence of friction between the fibres on the tension force of warp yarns. The virtual manufacture-by-weaving model suggests that utilising rPET with a simplified recycling approach can lead to the sustainable manufacture of fabrics with broad industrial applications.
Journal Article