Modeling and drafting process simulation of cotton slivers based on an octahedron structure

In order to study the variation of the drafting force of cotton slivers, a three-dimensional model of cotton slivers was proposed. The model is based on the three-dimensional network structure of the fibers in the cotton sliver. The three-dimensional network structure is simulated by an octahedron. Based on the similarity between dynamic drawing and static drawing, the static drawing simulation of the model is carried out by using ANSYS software, and the static drawing force of different quantitative cotton slivers is simulated. The results show that the average relative error of the static stretch force and dynamic drafting force is 8.09%, and the maximum relative error is less than 15%. Then, the equations of the dynamic drafting force and static stretch force are obtained by linear regression, and the drawing force under other quantitative conditions is successfully predicted. Finally, static stretching is used to simulate the influence curve of different roller spacings on the dynamic drafting force, and the results show that the simulation results are consistent with the actual situation. Therefore, the octahedral cotton sliver model is effective, and the simulation results also provide a reference for the approximate prediction of dynamic drafting force.

Research on properties of modified nylon blend yarn and fabric

Purpose Due to the excellent functionality of graphene, the research on fiber modification by graphene has been receiving more and more attentions recently, and many research findings have been conducted. However, the purpose of this paper is to focus on the fiber modification method and corresponding modified fiber properties, but the research on processing of the modified fiber, especially the textile process, is little. Therefore, in the paper, the properties of one kind of textile GN fiber and the spinning method of the GN fiber blend yarn and the functionalities of corresponding fabric are studied. Design/methodology/approach In the paper, the properties of nylon fiber modified by graphene (GN) were studied first. Then, according to the tested results, one new blending process of the GN fiber and cotton fiber was given, and corresponding properties of the blend yarns were tested and analyzed. Finally, the knitted fabrics were produced using the spun blend yarns, and the antibacterial property, electromagnetic shielding property, anti-ultraviolet performance, anti-static performance and conventional mechanical, and appearance thermal-wet comfort properties were tested and comparatively analyzed. Findings The tested results showed that the functionality of all fabrics was effective due to the addition of the graphene in the fiber, especially the antibacterial property. With the increasing of the GN fiber in the blend yarns, the functionality of all fabrics was also increased first and then achieved stability. Originality/value One new blending process of the GN fiber and cotton fiber was given. In the spinning, the combed cotton sliver was produced first, and then was torn into small parts of combed cotton sliver fiber by hand. Then, the treated GN fibers and cotton fibers were mixed for the first time, and corresponding GN/C carding sliver was produced. In this blend processing, the mixed cotton fiber was used to improve the sliver processing of the GN fiber. Then, in the drawing process, the required number of GN/C carding sliver and combed cotton sliver were fed simultaneously, and GN fibers and cotton fibers were mixed for the second time, and corresponding four kinds of GN/JC blend yarns were produced. In this blend processing, the mixed cotton fiber was used to regulate the blending ratio.

Measurement of short fiber contents in raw cotton using dual-beard images

The short fiber content (SFC) in raw cotton is an extremely important attribute in the modern cotton classification system, because of its impact on the quality of yarn manufacturing. However, the current SFC measuring methods are costly, time-consuming and tedious for accurate and quick testing. This study aimed to develop a new way to calculate a weight-based short fiber content ( SFCw) from a dual-beard specimen via image-processing and bell-shaped fibrogram modeling techniques. A sample from a cotton sliver was clamped and combed in the opposite directions to form two tapered fringes, and then scanned on a desktop scanner to generate a dual-beard image (DBI). The grayscale values in each column of the DBI were accumulated to derive a bell-shaped fibrogram representing the fiber quantity distributions over the distance from the fibrogram center. Based on the fibrogram, a special hierarchical model was proposed to calculate SFCw in two different length limits—12.7 and 16 mm—defined respectively in the USA and China’s specifications. Fifteen samples were tested to compare the SFCw results from the DBIs to those from the Advanced Fiber Information System (AFIS PRO2). Significant correlations were found between the SFCw values from DBIs and AFIS. The regressive equations for SFCw prediction were validated with six additional samples. As shown in the Bland–Altman plots, a good agreement existed between the two sets of SFCw values, demonstrating the DBI’s potential to be an accurate, rapid and portable approach for measuring SFCw, and to transform the SFCw testing from a dedicated machine to an off-the-shelf scanner.

The Design of Cotton Sliver Detection Sensor Based on AD698 and LVDT

A cotton sliver detection sensor is designed, which is different from the traditional roller detection system. Firstly the lever enlarges the change of thickness of cotton sliver into a large amount of displacement, and then the LVDT detects this displacement, and finally the signal transmission module based on AD698 converts the detected signal of the LVDT into a voltage ranging from 0V to 10V. The experiments show that the sensor has good linearity and resolution. The design is not only with lower mechanical inertia and simpler signal processing circuit, but also solving the problem that in the face of processing technologies change, sliver sensor with embossing roller and ladder roller, need to replace the different detection roller.