INDUSTRIA TEXTILA 期刊面向大学和研究专家、活跃于纺织和服装行业的公司以及具有技术目的的纺织产品相关行业用户。

The journal "Industria Textila" is aimed at university and research experts, companies active in the textile and apparel industry, and users in the textile product-related industries with technical purposes.

《Industria Textila》期刊主要面向大学和研究专家、活跃于纺织和服装行业的公司，以及与技术相关的纺织产品行业用户。

Industria Textila

Education and health are considered a cornerstone for obtaining targeted development in any society. Moreover, both sectors promote prosperity greatly. In this changeable epoch, people are thought out as the real wealth of any nation and this wealth with good human capital serves the economy very efficiently and productively. This research study aims to analyse how Development Assistance Committee (DAC) aid commitment for education along with institutional quality is effective for the human development of selected Asian economies. A panel data set over 2011–2018 is used for this analysis in Asian countries. GMM results show a significant and positive relationship between aid commitment for education and the human development of these economies. A more interesting result is that financial development seems to boost up human deployment in the selected Asian economies. The development of the textile industry is significantly influenced by education, especially considering the effects of OECD's Development Assistance Committee (DAC) Aid Commitments for education on human development in Asian countries. There is a dire need to reconsider more allocation of resources and aid to education and health to utilize these inflows at the maximum level for targeted development.

DURDANA QAISER GILLANI

MUHAMMAD ZAHID NAEEM

CRISTI SPULBAR

ABDULLAH EJAZ

RAMONA BIRAU

LUCIAN CLAUDIU ANGHEL

ION FLORESCU

The impact of OECD's Development Assistance Committee (DAC) Aid Commitments for Education on Human Development in Asian Countries and its implications for textile industry

经合组织发展援助委员会(DAC)教育援助承诺对亚洲国家人类发展的影响及其对纺织业的启示

This paper presents mathematical modelling based on predictive and correlation analysis of independent and dependent variables of conductive materials to develop sensors or actuators. The resulting analysis and optimisation develop improved systems based on sensors or actuators, including selecting the appropriate conductive materials for development. Toward this purpose, 46 materials with electroconductive properties were selected and analysed. The independent variables considered were mass, air permeability and thickness, and the dependent variable was defined as the electrical surface resistance of the conductive fabric used.

RALUCA MARIA AILENI

CRISTINA STROE

Predictive analysis of electroconductive material parameters for system optimisation

电导材料参数的预测分析以实现系统优化

Finding the most efficient marker planning method is crucial to reduce cut-and-sew waste. Small adjustments to the design and pattern can help reduce the amount of fabric waste, since marking loss happens during the cutting process because of spaces and unusable sections between pattern pieces and the curved pattern edges. Existing research mainly concentrates on optimising the consumption of textile material without taking into account the design, aesthetics and functionality of the final product. On the other hand, they are mainly focused on optimizing the sleeves’ construction and in search of new design solutions, with gaps in quantitative and comparative analysis to reduce waste while producing women's jackets. This article aims to propose and explore constructive changes in women's jacket designs with 5 different types of sleeves, to assess the possibility of reducing cut-and-sew waste levels in the cutting process. There have been created 4 different marker plans for each type of sleeve to achieve the high-efficiency markers. It was found that the semi-raglan sleeve showed the marker efficiency with the best results (76.04%), followed by the raglan sleeve with 72.03% and 72.34% for the drop shoulder sleeve. Interestingly, for the raglan and semi-raglan sleeve variants, the marker efficiency is not affected by the specific geometric characteristics. The Principal Component Analysis (PCA) method was used to determine which pattern arrangement variant was most appropriate for the different sleeve types.

IRINA RUSEVA

KRASIMIRA GENOVA

ZLATINA KAZLACHEVA

LILIANA INDRIE

ZLATIN ZLATEV

Evaluating women's jacket sleeves designs for sustainable fashion and textile waste reduction

评估女性夹克袖子设计以实现可持续时尚和减少纺织品浪费

This study aims to examine the mechanical and burning properties of composites made from twill (0°/0° and 0°/90° orientations) and plain fabrics using hybrid yarns produced by combining glass and polypropylene yarns with interwoven and intermingled methods. The properties of interwoven and intermingled hybrid fabric composites were compared with thermoset composites. Each composite (56% glass fibre content) plate is produced by combining eight fabrics with the same parameters using the press moulding technique. The effects of yarn and fabric weaving types on the results were examined in detail. When the results are examined, the breakage of glass fibres in intermingled hybrid yarns negatively affects the strength results. Therefore, composites made with intermingled hybrid yarn types and plain weave types of fabric had the lowest tensile strength value (132 MPa). The composite of twill woven fabrics produced with interwoven yarns arranged in 0°/0° orientation had the highest tensile strength of 315 MPa, and these results were very close to those of thermoset composites. Although the 0°/90° oriented twill composite showed a 2.3 times lower tensile strength value than the 0°/0° oriented twill composite, it had a 7.7 times higher value when bending strength values were taken into account. The main reason for this is that glass fibres contribute to the warp and weft directions. It has been observed that the composite consisting of plain fabrics woven with commingled hybrid yarns had the highest impact resistance. Additionally, when the combustion results were examined, it was concluded that the type of yarn and fabric weaving affected the burning rate. The slower combustion of hybrid commingled yarn composites resulted from fibreglass breakage during yarn production. These findings provide valuable insights into optimizing composite materials for specific applications, considering factors such as weaving pattern, fibre orientation, and mechanical performance.

ALİ ARI

MEHMET KARAHAN

NEVIN KARAHAN

BUŞRA YEDEKÇİ

Comparison of mechanical and flammability properties of thermoplastic and thermoset matrix glass fibre woven fabric composites

热塑性和热固性基体玻璃纤维织物复合材料力学和可燃性性能的比较

To explore the differences in sensory imagery produced by different geometric patterns and dress silhouettes, this study selected and extracted 4 different types of geometric patterns and 4 typical dress silhouettes as research carriers, determined the research samples through cross-combination, and used 8 pairs of sensory word pairs as research semantic space. Consumer sensory evaluations of the dress samples were collected through a survey questionnaire. The results were analysed using SPSS26.0 software, which showed that three sensory factors affect the appearance of the dress style. According to their main characteristics, they can be named as personality factor, temperament factor, and style factor. In terms of the silhouette of the dress, the neat and regular geometric pattern is most affected by the silhouette of the dress, while the other three types of geometric patterns are relatively weak. In terms of geometric pattern rules, different geometric patterns have different effects on the overall appearance of the dress after being combined with the silhouette of the dress, and some dresses play a certain role in all three factors.

YING SONG

NING ZHANG

TONG WU

Image evaluation and analysis of fabric with a geometric motif in dress style design

服装款式设计中几何图案织物的图像评价与分析

This paper presents a multidimensional analysis of textiles coated with conductive polymers for actuators. The purpose of using multidimensional scaling analysis is to compare similarities and dissimilarities between conductive textiles obtained through conductive polymeric film deposition to observe the optimal value for electrical resistance and to select an adequate method to achieve conductive fabric using different polymers (polyethylene glycol, polyvinyl alcohol or polyvinylidene fluoride) and metal microparticles (copper or nickel). The multidimensional analysis is based on mapping a series of material properties from a proximity matrix (similarities or dissimilarities) between these properties. Multidimensional scaling allows rebuilding the exact map of the values (within approximately a symmetry or rotation). To fit dissimilarity or similarity matrices for multiple variables into one common space estimating the weight parameters for each variable, the INDSCAL model (individual differences multidimensional scaling) was used.

Raluca Maria Aileni

Cristina Stroe

Multidimensional analysis of textiles coated with electroactive polymers for actuators

电活性聚合物涂层纺织品的多维分析用于执行器

Abbreviation
Journal Impact	1.19
Quartiles(Global)	MATERIALS SCIENCE, TEXTILES(Q3)

ISSN	1222-5347
h-index	18

Publication Information	Publisher: Inst. Nat. Cercetare-Dezvoltare Text. Pielarie，Publishing cycle: Quarterly，Journal Type: journal，Open Access Journals: No
Basic data	Year of publication: 1994，Proportion of original research papers: 97.78%，Self Citation Rate:20.00%， Gold OA Rate: 98.52%
Average review cycle	网友分享经验：平均6.0个月
Average recruitment ratio	网友分享经验：容易

Industria Textila

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The impact of OECD's Development Assistance Committee (DAC) Aid Commitments for Education on Human Development in Asian Countries and its implications for textile industry

Predictive analysis of electroconductive material parameters for system optimisation

Evaluating women's jacket sleeves designs for sustainable fashion and textile waste reduction

Comparison of mechanical and flammability properties of thermoplastic and thermoset matrix glass fibre woven fabric composites

Image evaluation and analysis of fabric with a geometric motif in dress style design

Predictive analysis of electroconductive material parameters for system optimisation

Evaluating women's jacket sleeves designs for sustainable fashion and textile waste reduction

Comparison of mechanical and flammability properties of thermoplastic and thermoset matrix glass fibre woven fabric composites

Image evaluation and analysis of fabric with a geometric motif in dress style design

Multidimensional analysis of textiles coated with electroactive polymers for actuators