Jun Wang

Donghua University · College of Textile

In accordance with the tenets of displacement deviation theory, the distribution of accelerating positions was the main reason for the uneven output sliver. To elucidate this phenomenon, a dynamic drafting model with controllable fiber proportion was developed in this paper to simulate the accelerating process of the floating fiber. The model was e...

The scope of this study was to investigate the effect of the blend ratio on the structure and properties of dual-feed-opening rotor-spun yarn. A variety of yarns with different blended ratios were spun from two viscose fibers with the same properties but different colors. Through digital image processing technology, the ratios of the area occupied...

Roller drafting is one of the most critical processes in spinning. This study established a dynamic drafting model and simulated the drafting process affected by the frictional force between fibers. In the simulation, the dynamic drafting process of fibers was simulated by calculating the movement time of fibers in the drafting zone. Moreover, the...

In order to study the tension variation of cotton yarn in the winding process, a finite element model of yarn based on three-dimensional beam elements is proposed. As the size of yarn in the length direction is much larger than the cross-sectional size, this paper assumes that the yarn cross-section is circular and ignores the change of the cross-s...

The airflow field in the condensing zone is crucial as it affects the fiber condensing, additional twists, and consequently yarn properties. Parameters of spinning and suction slot geometric were found to be key factors influencing the airflow characteristics. To develop a better understanding of the complex airflow field within the pneumatic compa...

In order to analyze the compression and recovery behavior of cotton fiber assembly, and to improve the quality of cotton bales. a cotton fiber assembly model is established based on the modeling idea of three-dimensional braided composite material. At the same time, the compression modulus and recovery modulus of the cotton fiber assembly are measu...

To achieve enhanced accuracy of fabric representation and defect detection, an innovative approach using a sparse dictionary with small patches was used for fabric texture characterisation. The effectiveness of the algorithm proposed was tested through comprehensive characterisation by studying eight weave patterns: plain, twill, weft satin, warp s...

In order to analyze the change of yarn winding tension in the winding process and the yarn tension after being wound on the surface of the tube, a yarn winding model was established based on the principle of yarn winding forming. The finite element simulation of the yarn winding process is carried out by using Ls-Dyan software. Then the internal st...

In order to analyze the mesoscopic contact characteristics of cotton fiber creep, this paper uses the meso-particle discrete element method to establish a cotton fiber assembly creep microscopic model based on the existing cotton fiber creep experiment. The microscopic parameters of the Particle Flow Code contact constitutive model are calibrated a...

The industrial production of solar‐steaming materials is an essential part of the wide promotion of solar‐driven desalination technology. However, balancing the cost and freshwater yield constitutes a constant challenge. To solve these problems, discrete waste carbon fibers are assembled into an extensible and compressible yarn and further prepared...

The structure of nonwovens gives special functions, and the establishment of the structure model has important reference significance for the realization of functions. In this work, the two-dimensional configuration of polyester fibers in a spunlaced nonwoven fabric was extracted, and the configurational feature points of 2500 fibers were obtained....

To improve the detection for different fabric types and defect kinds, an approach based on K-Singular Value Decomposition (K-SVD) dictionary learning method is designed to detect fabric defects, which remains important and challenging in the field of textile engineering. The proposed method has two main parts, namely the training and detection. The...

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 an...

In order to facilitate the design of a hybrid filament before spinning, a k-m (Kubelka-Munk) iteration model was proposed, which was based on the calculation method for reflectance of a translucent object and needed to be used in conjunction with a fabric model that can reflect the arrangement order of monofilaments. Therefore, the model can not on...

Compact spinning with a lattice apron has recently become a very attractive approach for pneumatic compact yarn production spinning systems. One of the main challenges with use of this method is the high negative pressure that leads to high energy consumption. In response to this challenge, we present a numerical and experimental investigation of t...

In order to explore the differences between conventional and dual-feed-opening rotor spinning units (RSUs), this work compares the airflow characteristics of two RSU models utilizing a computational fluid dynamics simulation model with the accuracy verified by airflow behavior observation and air pressure measurement. The effect of two different op...

Compact spinning with a lattice apron is commonly used in commercial yarn spinning despite the high energy consumption due to high negative pressure generated during operation. In the current study, a numerical and experimental approach is used to study the impact of airflow behavior on yarn properties. Three-dimensional (3-D) printed guiding devic...

Industrialization and anthropogenic activities are expected and unavoidable to consummate the current resources of humankind, which also lead to accidents in the laboratory, chemical plants, or other high risk areas that cause severe burns, or even casualties. Increased casualties in such accidents are due to inappropriate safety measures and preve...

To facilitate the product design of hybrid multifilament fabric prior to spinning, a color prediction model was proposed. The monofilaments in the multifilament were assumed to have a square cross-section and stacked vertically. The prediction model considered the reflectance, transmittance and arrangement of the monofilaments in the fabric. To tes...

The airflow field pattern in the condensing zone plays a vital role in the pneumatic compact spinning, which significantly affects the yarn's qualities. This study aimed to analyze the effects of the different negative air pressures on fiber condensing in compact spinning with lattice apron using ANSYS. The results of airflow simulations reveal tha...

Wool and silk fiber are the most extensive resources of protein fibers and have been used in the textile field for many years. The extracted biocompatible proteins are more and more widely used in flexible devices, sensors, tissue engineering, etc. Here, a fully biomaterial based flexible humidity sensor has been successfully fabricated for the fir...

Ethiopia is one of cotton-producing countries and export part of its products to the international market. Cotton continued to be cultivated in Ethiopia for many centuries both in irrigation and rain-fed systems. The country has a huge potential to produce cotton in different agroecology that absorbs the large and young work force. Considering the...

The compact spinning system with a lattice apron utilizes air-flow dynamics to condense fibers in a bunch and enhance the yarn properties. One of the main challenges with this method is the lack of a comprehensive understanding of the air-flow field's effect in the condensing zone. This work presents a numerical and experimental investigation of th...

Reflected light is one of the important components that determines the color of an object. In order to predict the reflectance of the filament yarn, a model was proposed considering the reflectance, trans-mittance and arrangement of the monofilaments mixed in the filament. Since the fineness of a single monofilament was too small to cover the test...

In order to improve the commonality of dictionary and nice reconstruction effect on different fabric density specimen, a general dictionary construction method was put forward. Firstly, the sample size of fabrics with different density was confirmed and the dictionary atomic number was optimized to reconstruct the samples with different fabric dens...

Fabric texture intelligent analysis comprises the following characteristics: objective detection results, high detection efficiency, and accuracy. It is significantly vital to replace manual inspection for smart green manufacturing in the textile industry, such as quality control and rating, and online testing. For detecting the global image, an un...

A method for the objective estimation of fabric pilling grade based on convolutional neural network was discussed. The pilling standard sample image of the combed wool fabric was firstly collected and scanned, and the round pilling area was extracted.Fourier converter technique and frequency domain filtering were used to remove fabric texture weigh...

The twisting process of the sliver is an important part of the yarn spinning process, but this process has not been fully characterized on the fiber scale. Herein, based on the assumption that fibers are randomly distributed in the sliver, we analyzed the simulation twisting process of the sliver model on the fiber scale. The mathematical model of...

As an important indicator for the appearance and intrinsic quality of textiles, fabric flatness is the immediate cause affecting the aesthetic appearance and performance of textiles. In this paper, the objective evaluation system of fabric flatness based on 3D scanner and convolutional neural network (CNN) is constructed by using the height data of...

In this paper, the objective evaluation system of fabric flatness based on 3D scanner and CN (Convolutional Neural Network) is constructed by using the height data of AATCC flatness template. The effect of different sub-sample cutting size, cutting offset, and network model depth on the objective evaluation coincidence rate of the flatness level wa...

It is very challenging to experimentally characterize and verify the airflow in the rotor spinning machine because the process takes place in an enclosure. In an attempt to portray the process, we present a methodology that combines a novel experimental approach and numerical techniques. We developed a model unit and used colored smoke to mimic the...

Fire disaster is one of the most common hazards that threaten public safety and social development: how to improve the fire escape and rescue capacity remains a huge challenge. Here, a 3D honeycomb‐structured woven fabric triboelectric nanogenerator (F‐TENG) based on a flame‐retardant wrapping yarn is developed. The wrapping yarn is fabricated thro...

Accurate and quick monitoring of an individual's respiration signals plays an important role in health monitoring and disease diagnosis. Electronic fabrics are the best candidates for detecting human signals through a non-invasive pathway. Inspired by the potential and attractive applications of fiber-shape electronics in smart and wearable e-texti...

In article number 2000203, Xiang Yang Liu and co‐workers meso‐reconstruct silkworm silk fibrous materials based on carbon nanotubes which give rise to conductive silk fibers, for the fabrication of silk flexible electronics. They have humidity dependent conductivity and can be developed into biocompatible electronic humidity sensors. The combinatio...

In Ethiopia, cotton is trademarked by the name of the farm and the location or the farm owner. Variety name and fiber quality characteristics are not part of the labeling. The aim of this research is to identify the cotton varieties in Ethiopia. Dp 90 covers 90% of the total acreage while the rest of the area under production is planted with local...

The process of cotton ginning was simulated by the finite element method in order to improve and optimize the efficiency of the process. Based on the fractal theory, a new cotton model was established by observing the morphological structure of cotton: the fractal cotton model with cotton seed. Considering the existence of seeds in actual cotton, t...

Turning insulating silk fibroin materials into conductive ones turns out to be the essential step toward achieving active silk flexible electronics. This work aims to acquire electrically conductive biocompatible fibers of regenerated Bombyx mori silk fibroin (SF) materials based on carbon nanotubes (CNTs) templated nucleation reconstruction of sil...

In this paper we introduced a novel discriminative-shared dictionary learning (DSDL) model to explicitly extract a set of class-specific features as well as shared features for simultaneous fabric texture characterization. For the discriminative component, we imposed the constraints of minimizing inter-class correlation as well as maximizing intra-...

Textile-based triboelectric nanogenerators (TENG) that can effectively harvest biomechanical energy and sense multifunctional posture and movement have a wide range of applications in next-generation wearable and portable electronic devices. Hence, bulk production of fine yarns with high triboelectric output through continuous manufacturing process...

In order to analyze the compressive stress state of a cotton fiber assembly in the compression process, a new cotton fiber assembly model, the tetrakaidecahedral porous cotton fiber assembly model, is presented based on the idea of three-dimensional open-cell foam material modeling. Based on the model, the compression process of cotton fiber assemb...

In order to improve the effect of fixed dictionary on fabric texture, a method for characterizing fabric texture based on general dictionary was proposed. Firstly, the dictionary learning method was preferred. Secondly, eight kinds of arbitrary normal fabric samples and 20 samples with different weave patterns were selected respectively, and then a...

The modeling and simulation of the staple fiber spinning process is still a challenging concept in yarn technology due to the complexity of the process and uncontrollable parameters. This work presents a staple fiber yarn formation model based on the ideal assumptions about the configuration of the fibers and the cross-section of the sliver. The mo...

In order to analyze the stress state of the seed cotton in the process of ginning cotton, a theoretical model for cotton, namely three-dimensional braided cotton was developed. The model consists of cotton fiber bundles arranged according to the unit cell structure of a three-dimensional four-directional braided composite material. The fiber bundle...

This article uses weaving plain weave, one upper three lower right twill, satin, reinforced twill, compound twill, entwining twill, reinforced satin, barley corn weave, square check weave, crepe weave, mesh weave, honeycomb weave, huckaback weave, horizontal cord weave and vertical cord weave woven fabric as samples. Maintaining the given similarit...

Textile‐based electronic techniques that can in real‐time and noncontact detect the respiration rate and respiratory arrest are highly desired for human health monitoring. Yarn‐shaped humidity sensor is fabricated based on a sensitive fiber with relatively high specific surface area and abnormal cross‐section. The response and recovery time of the...

本发明涉及一种织物图像纹理周期的自动测量方法，将一个二维的灰度织物图像按行和列 方式分别展开为一维行向量和一维列向量，分别对一维行向量和一维列向量进行一维快速傅立叶变换得到对应的连续频谱，提取连续频谱最大峰值点和次大峰值点对应的主周期d1 和次周期d2，分别计算d1和d2的距离匹配函数值DMF_1和DMF_2，令峰值比K=d2/d1，当K小于阈值时最终周期为d1，当K不小于阈值时，最终周期为 min(DMF_1, DMF_2)。本发明在一维傅立叶变换基础上结合距离匹配函数自动测量织物纹理周期，具有更好的稳定性和更高的计算效率，对多数测量方法难以识别的小周期纹理具有较好的测量效果，可应用于织物经纬向纹理周期自动测量领域。

为了提高机织物纹理表征算法的稳定性,提出了以子窗口字典学习表征机织物纹理的算法。将整幅图像划分为多个子窗口样本,并将子窗口样本展成列向量,所有的列向量联合组成灰度数据矩阵。选定离散余弦变换(discrete cosine transform,DCT)作为初始字典,对子窗口样本矩阵进行字典学习,最终得到了稳定的学习字典。选用均方根误差作为评价指标,对字典个数和子窗口大小进行优化。结果表明,应用学习得到的字典,不仅能近似重构机织物纹理样本图像,而且能在无监督的条件下自动识别织物的瑕疵。

The airflow field in a fibre transport channel is crucial as it affects the fibre configuration significantly and, consequently, the yarn properties. Geometric parameters are found to be critical in influencing airflow characteristics. 3D finite volume computations were adopted to evaluate the effects of geometric parameters of the transport channe...

In view of conventional rotor spinning's limitation which can only spin the fiber raw materials with similar properties of pure spinning or blending because of single carding technique it is difficult to produce the blending yarn with large difference in fiber properties． Based on the recent research of dual-feed and dual-comb rotor spinning techno...

In view of automatic evaluation of the image grades of woven fabric defect an automatic method for evaluating grades was processed based on the application of dictionary learning method to sparse expression of defective images． In this method the sample size and the number of dictionary atoms were optimized respectively． Firstly defect texture imag...

The vortices are generated at the conventional transfer channel, having adverse effects on fiber configuration. In a former research, a conventional transfer channel was modified via rounding the transfer channel inlet corner and adding a bypass channel. The simulation results obtained with the modified transfer channel showed that the vortices wer...

To examine the effectiveness of the new dual-feed rotor spinning system, we performed a set of experiments to assess the influence of the opening roller type, sliver feed method, and direction of fiber feeding into the rotor on the quality of a polyester/cotton blend yarn. Six yarn samples of 58tex consisting of 55/45 polyester/cotton were prepared...

To analyze the stress state of seed cotton in the process of cotton ginning and to improve the quality of lint, a new model for cotton, the laminated cotton model, is presented based on the idea of a composite laminate. The model assumes the cotton mass is made up of a certain number of cotton fibers, each of which has a different arrangement angle...

This paper presents a new approach to control the autollevelling process to decrease the output unevenness. A discrete autolevelling model is set up based on the balance of the fiber distributions in the drafting zone. The relationship between the velocity of rollers and fiber distributions is pointed out in the light of the discrete autolevelling...

The unevenness plays a dominant role in discussing the autolevelling results of drafting process. Part 2 of the paper presents the experimental verification of the discrete autolevelling model, which was elaborated on the basis of a discrete-event simulation that was set up in Part 1 of the paper. A new device was designed and constructed with prog...

Automated detect detection in woven fabrics for quality control is still a challenging novelty detection problem. This work presents five novel fractal features based on the box-counting dimension to address the novelty detection of fabric defect. Making use of the formation of woven fabric, the fractal features are extracted in a one-dimension ser...

As a basis for yarn evenness measurement, a novel method based on two orthogonal charge-coupled device (CCD) sensors has been devised. We present a system for analyzing yarn evenness from the coefficient of variation of yarn perimeter, treating the yarn cross-sectional shape like an ellipse with uneven edges. The system architecture, algorithm flow...

Copper slag is a byproduct of the pyrometallurgical smelting of copper concentrate. It was used in this study to catalyze elemental mercury (Hg0) oxidation in simulated coal combustion flue gas. The copper slag exhibited excellent catalytic performance in Hg0 oxidation at temperatures between 200 °C and 300 °C. At the most optimal temperature of 25...

To obtain a stable fabric texture representation result and improve the computation speed, a novel method based on dictionary learning is presented. The dictionary is learned by the alternating least-squares method using discrete cosine transform (DCT) as the initiation dictionary. To test the effectiveness of the dictionary, we comprehensively inv...

针对机织物疵点图像等级自动评定问题，在应用字典学习方法对疵点图像稀疏表达的基础上提出一种等级自动评定方法。该方法对样本大小和字典原子个数进行了优化，首先对正常织物纹理图像进行K-SVD字典学习，然后用学习得到的字典对疵点纹理图像进行重构，最后根据重构效果进行等级评定。实验结果表明，该方法的自动评定结果相对于人工评定结果准确率达到了83.61%。

To predict the fabric appearance quality from the yarn structure, a yarn surface-area measurement system is proposed. We characterize the fabric appearance quality based on its surface area (Coefficient of the variance of the fabric surface area (FSCV)) to evaluate the irregularity of the simulated fabrics. The simulated fabrics are processed by YS...

The paper compares the unsteady airflow field in the conventional and the new dual-feed rotor spinning unit. A 3D finite volume computation (with optional turbulence model) is adopted to simulate the airflow dynamics with a focus on the rotor interior. The equations are solved using Fluent 14.5 package. The airflow results reveal that the second tr...

A novel approach based on sparse representation is presented to investigate the impact of weave repeat on the characterization of woven fabric texture. Firstly, the test samples were represented by over-complete dictionary in the least squares sense. Secondly, the two indexes--PSNR value and RMSE were introduced to evaluate the representation perfo...

Simultaneous nitrogen monoxide (NO) reduction and elemental mercury (Hg⁰) oxidation in the presence of ammonia (NH3) was for the first time studied on a copper oxide/titanium dioxide (CuO/TiO2) catalyst at low flue gas temperatures. More than 80% NO reduction and 90% Hg⁰ oxidation were concurrently achieved on the CuO/TiO2 catalyst at 250 °C under...

Because of its large surface area, nanosized zinc sulfide (Nano-ZnS) has been demonstrated in a previous study to be efficient for removal of elemental mercury (Hg0) from coal combustion flue gas. The excellent mercury adsorption performance of Nano-ZnS was found to be insusceptible to water vapor, sulfur dioxide, and hydrogen chloride. However, ni...

In the present study, we evaluate the drag and lift magnitude in the new dual-feed rotor spinning unit using computational fluid dynamics technique. We adopt theoretical and numerical approach based on FLUENT to investigate the influence of new design on the drag and lift in the rotor interior. Results reveal that the drag and lift inside the rotor...

In this study, a numerical model for simulation of fiber motion in the transport channel of a rotor spinning unit has been developed. A chain represents the fiber consisting of a series of cylindrical rods connected with beads. The fiber model is applied on the turbulent airflow field of the transport channel to present fiber configuration at diffe...

In fiber processing on a rotor spinning machine, the fiber orientation gained in pre-processing stages like carding and drawing is mainly lost as the fibers enter the rotor interior for further processing. To improve fiber orientation and facilitate fiber blending, a new dual-feed rotor spinning unit is proposed. We present a comprehensive numerica...

The conventional rotor spinning unit generates flow vortices in the transfer channel upstream region which affect the fiber configuration and consequently yarn properties. Geometry and spinning parameters such as transfer channel length, inlet width, rotor outlet pressure, opening roller speed, and diameter were found to be key parameters influenci...

Chitosan(CS) nanofibers containing silver nanoparticles (AgNPs) were prepared by in-situ reducing method. A water soluble carboxymethyl chitosan (CMCT) was applied for the preparation of AgNPs. The impact factor such as the concentration of CMCT, silver nitrate (AgNO3) content, temperature and the heating time during the preparation of AgNPs were s...

Nowadays, multichannel nerve guidance conduit (NGC) was designed by mimicking the architecture of nerve fascicles, and it was used to reduce dispersion of regenerating axons within the NGC lumen. In this paper, gelatin was used to prepare multichannel inner layer of NGC by freeze-drying, and poly(L-lactic acid-co-ε-caprolactone) (P(LLA-CL)) was use...

In order to regulate turbulence strength and determine airflow characteristics in a new dual-feed rotor spinning unit, the internal flow field is investigated. A computational fluid dynamics technique is employed to numerically study the three-dimensional model of the internal airflow in the new design. The effects of air velocity variation on turb...

The goal of this paper is to provide an approach to investigate the variation of fiber quantity in a certain cross-section of the drafting zone. This model with discrete-event simulation (DES) method was presented to simulate the dynamic drafting process. This model described the behavior of individual fibers, which was divided into four phases and...

This paper presents a model in a time domain to simulate the dynamic drafting process based on calculated movement time of individual fibers, and provide an approach to investigate the quantitative variation in fiber numbers in a drafting zone. The model was validated by the newly obtained experimental data of sliver irregularities and attenuation...

It is considered that the strength of the ply yarn consisting of continuous filaments mainly depends on the properties of the single yarn and the cohesion forces among the single yarns, thus a mathematical model with relatively few parameters under given assumptions is established to predict the tensile strength of a two-ply yarn from single filame...

In this work, a new method based on local patch approximation is presented to address automated defect segmentation on textile fabrics. The proposed method adopts unsupervised scheme without the need of reference images or any other prior information. Image patch is approximated by dictionary learned from a testing sample in the least squares sense...

Woven fabric texture was periodic and complex, the woven fabric texture analysis method was based on Fourier transform and Gabor transform. Firstly the frequency range of woven fabric texture was obtained by using the Fourier Transform method, and the influence on fabric frequency of image resolution and fabric density was analyzed. Then the main p...

CuO-CeO2/TiO2 (CuCeTi) catalyst prepared by a sol-gel method was employed for the first time to simultaneously reduce nitrogen monoxide (NO) and oxidize elemental mercury (Hg0) in the presence of ammonia (NH3) at low flue gas temperatures. The combination of copper oxides and cerium oxides yielded apparent synergy for NO reduction and Hg0 oxidation...

This article presents the use of quadratic general rotary unitized design method in optimization of spinning parameters of T-400/cotton core spun yarn on a ring frame. T-400 is a bicomponent filament based on sorona 3GT polymer form DuPont. An experimental design was generated using MINITAB© 15 which included three factors and five levels. Three fa...

A three-dimensional computational model is established to simulate the air flow patterns in the rotor spinning unit of a rotor spinning machine. The effects of rotor speed, rotor diameter and rotor slide wall angle on air flow characteristics and hence yarn properties are investigated. The airstream accelerates from the transfer channel inlet to th...

CuO-CeO2/TiO2 (CuCeTi) catalyst synthesized by a sol-gel method was employed to investigate mercury conversion under selective catalytic reduction (SCR) atmosphere (NO, NH3 plus O2). Neither NO nor NH3 individually exhibited an inhibitive effect on elemental mercury (Hg0) conversion in the presence of O2. However, Hg0 conversion over the CuCeTi cat...

In practice, off-line fabric defect detection is a real-time inspection process, requiring both inspection system and detection algorithms capable of high real-time performance. This paper presents a computer vision-based platform for the fabric’s visual quality assurance. The proposed platform is composed of four subsystems including: fabric drive...

The production of Portland cement (PC) can result in the release of trace amounts of mercury (Hg) in stack emissions. As a means of controlling Hg stack emissions at Portland cement kiln operations, some facilities have instituted a process known as dust shuttling, where baghouse filter dust (BFD), a partially calcined byproduct, is collected and b...

Developing an efficient real-time detection algorithm is quite important for an automated inspection system. This paper presents a practical method based on local singular value decomposition (SVD) and normalised cross-correlation (NCC) for real-time defect detection in woven fabrics. As fabric-textured images exhibit high periodicity among the rep...

Using solar energy to recycle carbon dioxide (CO2) offers a brand new opportunity for simultaneous mitigation of the global climate change effect and production of energy-bearing compounds. Silver (Ag) and magnesium oxide (MgO) co-modified titania (TiO2) (AgMgTi) synthesized through a combined impregnation and photo-deposition process. The catalyst...

The fate of mercury (Hg) in cement processing and products has drawn intense attention due to its contribution to the ambient emission inventory. Feeding Hg-loaded coal fly ash to the cement kiln introduces additional Hg into the kiln’s baghouse filter dust (BFD), and the practice of replacing 5% of cement with the Hg-loaded BFD by cement plants ha...

Properly disposal and reutilization of direct leaching residue (DLR) from metal production industries can reduce environmental pollution as well as better conserve resources. In this study, recovery of elemental sulfur from zinc concentrate DLR using vacuum distillation was thoroughly investigated. The results show that elemental sulfur recovery us...

This research studies the properties of a plain knitted fabric made from cotton/T‐400 ring core spun yarn and 100% cotton ring spun yarn. Properties of plain knitted fabric made from 100% cotton ring spun yarn were compared with one made from cotton/T‐400 (70.4C/29.6T). We focused on knitted fabric properties such as the bursting strength, elongati...

Many practices of the rotor spinning show that the false twist effect of the navel is much more complicated than that of the one point based friction model. Both ends of the yarn's twist and torque changes were analyzed under the static effect of the navel, and then established yarn twist ratio on both ends. It verified its correctness through simu...

Abstract: In order to do R＆D on cotton core-spun yarn T-400，the spinning process is optimized with quadratic rotation design with mass，hairiness and yarn strength as the testing index，consequently optimization of the twisting factor，pre-draft multiply of the filament and the spindle speed． It proves that the optimized specifications are helpful in...

We present a new approach using dictionary learning framework to address textile fabric defect detection. Textile fabrics are textured materials whose images exhibit high periodicity among the repeated sub-patterns determined by weaving structure. Inspired by the image de-noising using the learned dictionary, we learn a dictionary from patches of t...