Autex Research Journal最新文献_第9页

Smart Textile for Building and Living 用于建筑和生活的智能纺织品

IF 1.1 4区工程技术

Autex Research Journal Pub Date : 2021-09-02 DOI: 10.2478/aut-2021-0041

G. Priniotakis, L. Marrot, U. Stachewicz, A. Krstić-Furundžić, Enrico Venturini, V. Jonaitienė

引用次数: 2

Influence of Multilayer Interlocked Fabrics Structure on Their Thermal Performance 多层互锁织物结构对其热性能的影响

IF 1.1 4区工程技术

Autex Research Journal Pub Date : 2021-09-02 DOI: 10.2478/aut-2021-0038

F. Parés, H. Ventura, F. Xavier Capdevila, M. Ardanuy

引用次数: 0

Investigation of Twist Waves Distribution along Structurally Nonuniform Yarn 结构不均匀纱线捻度波分布的研究

IF 1.1 4区工程技术

Autex Research Journal Pub Date : 2021-08-23 DOI: 10.2478/aut-2021-0040

Sh. Shukhratov, R. Milašius, K. Gafurov, J. Gafurov

引用次数: 1

Texture Representation and Application of Colored Spun Fabric Using Uniform Three-Structure Descriptor 基于均匀三结构描述符的彩色Spun织物纹理表示及应用

IF 1.1 4区工程技术

Autex Research Journal Pub Date : 2021-08-18 DOI: 10.2478/aut-2021-0039

Yuan Li, Muli Liu, Junping Liu, Yali Yang, Xue Gong

{"title":"Texture Representation and Application of Colored Spun Fabric Using Uniform Three-Structure Descriptor","authors":"Yuan Li, Muli Liu, Junping Liu, Yali Yang, Xue Gong","doi":"10.2478/aut-2021-0039","DOIUrl":"https://doi.org/10.2478/aut-2021-0039","url":null,"abstract":"Abstract The local binary pattern (LBP) and its variants have shown their effectiveness in texture images representation. However, most of these LBP methods only focus on the histogram of LBP patterns, ignoring the spatial contextual information among them. In this paper, a uniform three-structure descriptor method was proposed by using three different encoding methods so as to obtain the local spatial contextual information for characterizing the nonuniform texture on the surface of colored spun fabrics. The testing results of 180 samples with 18 different color schemes indicate that the established texture representation model can accurately express the nonuniform texture structure of colored spun fabrics. In addition, the overall correlation index between texture features and sample parameters is 0.027 and 0.024, respectively. When compared with the LBP and its variants, the proposed method obtains a higher representational ability, and simultaneously owns a shorter time complexity. At the same time, the algorithm proposed in this paper enjoys ideal effectiveness and universality for fabric image retrieval. The mean Average Precision (mAP) of the first group of samples is 86.2%; in the second group of samples, the mAP of the sample with low twist coefficient is 89.6%, while the mAP of the sample with high twist coefficient is 88.5%.","PeriodicalId":49104,"journal":{"name":"Autex Research Journal","volume":null,"pages":null},"PeriodicalIF":1.1,"publicationDate":"2021-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42064462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Natural Polymers on the Global and European Market - Presentation of Research Results in the Łukasiewicz Research Network – Institute of Biopolymers and Chemical Fibers-Case Studies on the Cellulose and Chitosan Fibers 全球和欧洲市场上的天然聚合物- Łukasiewicz研究网络的研究成果介绍-生物聚合物和化学纤维研究所-纤维素和壳聚糖纤维的案例研究

IF 1.1 4区工程技术

Autex Research Journal Pub Date : 2021-08-18 DOI: 10.2478/aut-2021-0033

Radosław Dziuba, Katarzyna J. Grabowska, D. Wawro, J. Wietecha, Z. Wysokińska

引用次数: 2

Effect of Lycra Weight Percent and Loop Length on Thermo-physiological Properties of Elastic Single Jersey Knitted Fabric 莱卡重量百分比和毛圈长度对弹性单面针织物热生理性能的影响

IF 1.1 4区工程技术

Autex Research Journal Pub Date : 2021-07-17 DOI: 10.2478/aut-2021-0030

A. Khalil, P. Těšinova, A. R. Aboalasaad

引用次数: 1

An Integrated Lean Six Sigma Approach to Modeling and Simulation: A Case Study from Clothing SME 一种集成的精益六西格玛建模与仿真方法——以服装中小企业为例

IF 1.1 4区工程技术

Autex Research Journal Pub Date : 2021-07-17 DOI: 10.2478/aut-2021-0028

Abbes Nedra, Sejri Néjib, J. Boubaker, Cheikhrouhou Morched

引用次数: 4

Approach to Performance Rating of Retroreflective Textile Material Considering Production Technology and Reflector Size 考虑生产工艺和反射镜尺寸的反光纺织材料性能评定方法

IF 1.1 4区工程技术

Autex Research Journal Pub Date : 2021-07-17 DOI: 10.2478/aut-2021-0035

V. Glombikova, P. Komárková, Michal Vik, Jaroslava Adamcova, R. Nemcokova, M. Viková, A. Havelka

{"title":"Approach to Performance Rating of Retroreflective Textile Material Considering Production Technology and Reflector Size","authors":"V. Glombikova, P. Komárková, Michal Vik, Jaroslava Adamcova, R. Nemcokova, M. Viková, A. Havelka","doi":"10.2478/aut-2021-0035","DOIUrl":"https://doi.org/10.2478/aut-2021-0035","url":null,"abstract":"Abstract The study investigates retroreflective fabrics’ efficiency from the point of view of the interaction of their visibility, thermo-physiological comfort properties, and durability (represented by physical-mechanical performance). The effect of the combination of two production technologies (reflective transfer films and screen printing method) and two reflector covering sizes (25% and 85%) was examined. Technique for order of preference by similarity to ideal solution (TOPSIS) method was used to determine the best solution considering the abovementioned tested categories of properties. Retroreflective performance was in congruence with the used design coverage factor of the tested pattern. It was found that retroreflection of the tested pattern produced using screen printing technology was significantly lower than retroreflection of an identical pattern made by a transfer film. On the contrary, in terms of thermo-physiological comfort and physical-mechanical performance of the tested samples, screen printing technology shows significantly better results in almost all tested properties, especially in water vapor permeability, moisture management, and physical-mechanical performance. The solution for the abovementioned contradictory results can be achieved by using a combination of the advantages associated with each of these technology methods. Screen printing can be applied to specific regions of clothing that are exposed to extreme loading or sweating, and the transfer of film elements ensures high visibility with respect to the standards and biomotion principles that are deployed as prevalent benchmarks in the industry.","PeriodicalId":49104,"journal":{"name":"Autex Research Journal","volume":null,"pages":null},"PeriodicalIF":1.1,"publicationDate":"2021-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42634960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Numerical Simulation of Fiber Motion in the Condensing Zone of Lateral Compact Spinning with Pneumatic Groove 气动槽侧向紧密纺纱收缩区纤维运动的数值模拟

IF 1.1 4区工程技术

Autex Research Journal Pub Date : 2021-07-17 DOI: 10.2478/aut-2021-0003

Jindan Lyu, Longdi Cheng, Bugao Xu, Z. Hua

{"title":"Numerical Simulation of Fiber Motion in the Condensing Zone of Lateral Compact Spinning with Pneumatic Groove","authors":"Jindan Lyu, Longdi Cheng, Bugao Xu, Z. Hua","doi":"10.2478/aut-2021-0003","DOIUrl":"https://doi.org/10.2478/aut-2021-0003","url":null,"abstract":"Abstract Lateral compact spinning with pneumatic groove is a spinning process to gather fibers by common actions of airflow and mechanical forces. Compared with ring spinning, it can more effectively reduce yarn hairiness and enhance yarn strength. However, fiber motion in the agglomeration area is complex. And, it is important to establish a new fiber model to accurately describing the fiber motion. The objectives of this research were to create a new fiber model to simulate the agglomeration process, to analyze yarn properties of the lateral compact spinning with pneumatic groove, and to compare with other spinning yarns through a series of tests. The new fiber model was based on the finite element method implemented in MATLAB and was to show the fiber motion during the agglomeration area. The simulation generated results were close to the real motion of fibers in spinning. In the lateral compact spinning with pneumatic groove, fiber bundle through the agglomeration area can be gathered, and the output of the fiber bundle was nearly to cylinder before yarn twisted. The experiments demonstrated that the lateral compact spinning with pneumatic groove can improve the yarn properties: increase the yarn twist, enhance the yarn strength, and reduce the yarn hairiness.","PeriodicalId":49104,"journal":{"name":"Autex Research Journal","volume":null,"pages":null},"PeriodicalIF":1.1,"publicationDate":"2021-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41669146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Prediction of Standard Time of the Sewing Process using a Support Vector Machine with Particle Swarm Optimization 基于粒子群优化的支持向量机缝纫过程标准时间预测

IF 1.1 4区工程技术

Autex Research Journal Pub Date : 2021-07-17 DOI: 10.2478/aut-2021-0037

Yibing Shao, Xiaofeng Ji, Menglin Zheng, Caiya Chen

{"title":"Prediction of Standard Time of the Sewing Process using a Support Vector Machine with Particle Swarm Optimization","authors":"Yibing Shao, Xiaofeng Ji, Menglin Zheng, Caiya Chen","doi":"10.2478/aut-2021-0037","DOIUrl":"https://doi.org/10.2478/aut-2021-0037","url":null,"abstract":"Abstract Standard time is a key indicator to measure the production efficiency of the sewing department, and it plays a vital role in the production forecast for the apparel industry. In this article, the grey correlation analysis was adopted to identify seven sources as the main influencing factors for determination of the standard time in the sewing process, which are sewing length, stitch density, bending stiffness, fabric weight, production quantity, drape coefficient, and length of service. A novel forecasting model based on support-vector machine (SVM) with particle swarm optimization (PSO) is then proposed to predict the standard time of the sewing process. On the ground of real data from a clothing company, the proposed forecasting model is verified by evaluating the performance with the squared correlation coefficient (R2) and mean square error (MSE). Using the PSO-SVM method, the R2 and MSE are found to be 0.917 and 0.0211, respectively. In conclusion, the high accuracy of the PSO-SVM method presented in this experiment states that the proposed model is a reliable forecasting tool for determination of standard time and can achieve good predicted results in the sewing process.","PeriodicalId":49104,"journal":{"name":"Autex Research Journal","volume":null,"pages":null},"PeriodicalIF":1.1,"publicationDate":"2021-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47467245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3