At The Five And Ten Cent Store

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A Model for Predicting a Yarn's Knittability

In this study, we attempt to determine the knittability of a yarn before knitting. Thirty different yarns are knitted into 1 × 1 rib structures with three different loop length values. The knitting process is observed and the number of machine stops, yarn breaks, and holes are recorded. The results of experiments are evaluated by charts and statistical analyses. With a multiple regression analysis, two equations that depend on yarns characteristics can be used to predict yarn-needle and yarn-yarn friction values. In the last stage, we use a binary logistic regression analysis to indicate knittability, depending on the yarn-needle and yarn-yarn friction values, the machine tightness factor, and machine speed values. © 2004, Sage Publications. All rights reserved

Dimensional and physical properties of 3-D fabrics produced on the flat knitting machines

WOS: 000234721500003The dimensional and physical properties of 3-D fabrics produced using different loop lengths and yarn combinations of cotton and polyester on electronic flat knitting machines have been studied. It is observed that the yarn combination, tightness and washing treatment affect the fabric properties. In addition, while the tightness of fabric increases or when the samples are washed, the course spacing, wale spacing, weight and thickness of the fabric increase and the air permeability decreases

Dimensional and physical properties of 3-D fabrics produced on the flat knitting machines

371-376<span style="font-size: 16.0pt;font-family:Fd579630-Identity-H;mso-bidi-font-family:Fd579630-Identity-H">The dimensional and physical properties of 3-D fabrics producted using different loop lengths and yarn combinations of cotton and polyester on electronic flat knitting machines has<span style="font-size:16.0pt;font-family:Fd1739066-Identity-H; mso-bidi-font-family:Fd1739066-Identity-H"> been <span style="font-size: 16.0pt;font-family:Fd579630-Identity-H;mso-bidi-font-family:Fd579630-Identity-H">&nbsp;studied. It is observed that the yarn combination, tightness and washing treatment affect the fabric properties. In addition, while the tightness of fabric increases or when the samples are washed, the course spacing, wale spacing, weight and thickness of the fabric increase and the air permeability decreases. </span

Online fault detection system for circular knitting machines [Yuvarlak örme makineleri için on-line hata kontrol sistemi]

Due to the design of the circular knitting machines, it is not possible to see the faults on the fabric as soon as they occur. Faults become only as seen after some piece of, around 50 to 60 cm long, fabric is knitted. This situation causes loss of time and material for the manufacturers. In this article, a system that detects the faults that may occur during the production on circular knitting machines and automatically power off the machine upon detection of any fault is introduced. The developed on-line fault detection system combines and implements several state of the art methods available in the literature and in the industry. The system is a product of a multi-disciplinary study, including textile engineering, signal and image processing, electrical engineering