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"Looms"
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Loom magic xtreme! : 25 spectacular, never-before-seen designs for rainbows of fun
Includes twenty-five new rubber band loom projects, including bloodshot eyeballs, glow-in-the-dark stars, octopus and much more!
Book
Computer modelling of dynamics of the thread in technological process
The article covers the technology of computer modeling of technological processes on example of the research of transverse oscillations of the thread in weaving process. During the formation of the fabric, various dynamic processes took place, including fluctuations in the threads. As an example, the longitudinal oscillations and tension of the threads in the process of surf on a loom are considered. The program and the results of the calculation are given using the software package “Mathcad”.
Journal Article
Loom magic charms! : 25 cool designs that will rock your rainbow /
As loomers get more skilled, they are looking to go beyond bracelets--and charms are where it's at! These little decorations can adorn bracelets, necklaces, or even shoelaces and zippers. And each project only needs one loom! This book offers twenty-five original designs for all kinds of ch arms to make with Rainbow Looms.
Book
Scalable production of high-performing woven lithium-ion fibre batteries
Fibre lithium-ion batteries are attractive as flexible power solutions because they can be woven into textiles, offering a convenient way to power future wearable electronics
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–
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. However, they are difficult to produce in lengths of more than a few centimetres, and longer fibres were thought to have higher internal resistances
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,
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that compromised electrochemical performance
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,
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. Here we show that the internal resistance of such fibres has a hyperbolic cotangent function relationship with fibre length, where it first decreases before levelling off as length increases. Systematic studies confirm that this unexpected result is true for different fibre batteries. We are able to produce metres of high-performing fibre lithium-ion batteries through an optimized scalable industrial process. Our mass-produced fibre batteries have an energy density of 85.69 watt hour per kilogram (typical values
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are less than 1 watt hour per kilogram), based on the total weight of a lithium cobalt oxide
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graphite full battery, including packaging. Its capacity retention reaches 90.5% after 500 charge–discharge cycles and 93% at 1C rate (compared with 0.1C rate capacity), which is comparable to commercial batteries such as pouch cells. Over 80 per cent capacity can be maintained after bending the fibre for 100,000 cycles. We show that fibre lithium-ion batteries woven into safe and washable textiles by industrial rapier loom can wirelessly charge a cell phone or power a health management jacket integrated with fibre sensors and a textile display.
Rechargeable lithium-ion batteries produced in the form of metre-long fibres can be woven into sturdy, washable textiles on an industrial loom and used to power other fabric-based electronic components.
Journal Article
The ultimate unofficial rainbow loom guide : everything you need to know to weave, stitch, and loop dozens of rainbow loom projects
Presents step-by-step instructions for creating handicraft projects using a rainbow loom rubber band system, including jewelry, garden charms, toys, and household objects.
Book
A Study on Short-Term Air Consumption Prediction Model for Air-Jet Looms Combining Sliding Time Window and Incremental Learning
The energy consumption of air-jet looms mainly comes from air compressors. Predicting the air consumption of air-jet looms for the upcoming period is significant for the variable frequency adjustment of air compressors, thereby aiding in energy saving and reducing fabric costs. This paper proposes an innovative method that combines Sliding Time Windows (STW), feature analysis, and incremental learning to improve the accuracy of short-term air consumption prediction. First, the STW method is employed during the data collection phase to enhance data reliability. Through feature analysis, significant factors affecting the air consumption of air-jet looms, beyond traditional research, are explored and incorporated into the prediction model. The experimental results indicate that the introduction of new features improved the model’s R2 from 0.905 to 0.950 and reduced the MSE from 32.369 to 16.239. The STW method applied to the same random forest model increased the R2 from 0.906 to 0.950 and decreased the MSE from 32.244 to 16.239. The decision tree method, compared to the linear regression model, improved the R2 from 0.928 to 0.950 and reduced the MSE from 23.541 to 16.239, demonstrating significant predictive performance enhancement. After establishing the optimal model, incremental learning is used to continuously improve the reliability and accuracy of short-term predictions. Experiments show that the incremental learning method, compared to static models, offers better resilience and reliability when new data are collected. The proposed method significantly improves the accuracy of air consumption prediction for air-jet looms, providing strong support for the variable frequency adjustment of air compressors, and contributes to the goals of energy saving and cost reduction. The research results indicate that this method not only enhances prediction accuracy but also provides new insights and methods for future energy-saving research.
Journal Article
Relaxation function experimental study of the warp strain at slow and regular weaving motion
The combination of the nonlinear rheological models to the simple pendulum in the conditions of the forced oscillations simulates the action of the let-off motion with weights. The experimental study considers the dynamic balance during the unfolding of the warp in function of the adjustments of the let-off motion. The stress of the warp threads carries out the mechanical transition from the loom’s adjustments towards the fabric quality. A rotatable plan of factorial experimentation indirectly explores the process of interaction of threads during the intersection.
Journal Article
Development of a mechatronic weft selector to enhance patterning capacity in Rapier looms
Rapier weaving machines are widely used in the weaving industry; however, the design of the current weft selectors limits their capability to produce fabrics incorporating a large variety of weft yarns. Nevertheless, increasing the number of wefts with the existing selectors can impose challenges for the rapier in the efficient gripping of the weft. This study presents the design and development of a novel mechatronic weft selection system aimed at significantly enhancing the patterning capabilities of rapier looms. The proposed system features a circular arrangement of up to 20 weft yarn feeders and a single programmable selector module capable of handling the weft yarns. The selector integrates stepper motors, servo motors, solenoid valves, and an Arduino Mega-based control unit to execute user-defined weft patterns with high precision. The device was successfully operated at 9 picks per minute (PPM) across various yarn types, including polyester, viscose, and elastomeric yarns. A total of 11 different yarns were tested, each subjected to 5 trials using 20 feeders, resulting in the insertion of 1100 wefts. The system achieved a 100% selection and insertion success rate after the trials. The system also maintains a constant yarn-to-rapier angle, mitigating pick errors. The developed system offers a solution for expanding weft selection in rapier looms, enabling more intricate fabric designs and increased product versatility. To the best of our knowledge, this type of design has not been tried before in weft selection.
Journal Article
Development of an individual warp beam tension control system for warp assembling machines in direct warp preparation
Warp preparation is a process prior to weaving that brings all the ends side by side and then winding them on a warp beam with the same tension and length at a predetermined width, density and length. Modern warp preparation machines employ feedback control systems controlling total or individual warp tension. Older warping machines in industry mostly do not have a precise feedback tension control systems and do not match with the quality requirements of today’s market expectations. This paper presents a research in which an individual section beam warp tension control system is explained for converting older beam-assembling machines to a new technology in a direct warping process. The total warp tension of each section warp beam was measured and breaking torque of the magnetic powder brake was adjusted when a deviation occured from the set tension value. It was shown that average loom efficiency increased by 5.65% despite an increase in average loom speed from 663 to 733 rpm in an air jet loom factory. The fabric fault ratio decreased from 3.45% to 1.04% per 100 m of fabric and warp waste decreased from 0.5% to below 0.2% with the new individual section warp beam tension control system adapted to an older version of the assembling machine having total tension control and section warp beam pneumatic brake system.
Journal Article
Immigration and the Diffusion of Technology: The Huguenot Diaspora in Prussia
This paper analyzes long-term effects of skilled-worker immigration on productivity for the Huguenot migration to Prussia. In 1685, religiously persecuted French Huguenots settled in Brandenburg-Prussia and compensated for population losses due to plagues during the Thirty Years' War. We combine Huguenot immigration lists from 1700 with Prussian firm-level data on the value of inputs and outputs in 1802 in a unique database to analyze the effects of skilled immigration to places with underused economic potential. Exploiting this settlement pattern in an instrumental-variable approach, we find substantial long-term effects of Huguenot settlement on the productivity of textile manufactories.
Journal Article