فصلنامه علوم و فناوری نساجی
سال هفتم شماره 4 (زمستان 1397)

In this research, it has been tried to design clothes that shows art and taste, civilization, culture and original identity of Iranian people. In this way, types of designs and variety of colors in traditional clothes of different regions in Gilan are examined and identified, so that they can be used in designing women's uniform cloth (gown) according to how they fit into visual primary principles and results of questionnaires. A method of this research is a descriptive way and its purpose is an "applied" one.  The library method and the research methodology have been used, respectively, to collect information on the subject literature and research background, and to collect data on confirmation or disproof of research hypotheses; for this purpose, a field-work questionnaire was used to collect from two statistical communities: clothes designers and gown sellers included 60 individuals. Descriptive- statistical analysis and inferential statistics were used to analyze the questionnaire data. In the inferential statistics, SPSS software was used to perform statistical analysis of the questionnaire. So, the Kolmogorov-Smirnov test was used for normalization of variables; consequently, independent one sample t-test and comparison of two communities, and Friedman's test were applied respectively to study and examine hypotheses and to rank designing variables. According to study of major statistical results obtained from the research questionnaire, consideration of significant components effects on design of gown, based on statistical community’s viewpoints, as well as considering the visual principles and elements presented in the research, twenty dress designs was done with Etude, among which six selected designs were presented graphically in CLO Enterprise software. Finally, six types of gowns are sewn in order to fulfill the research objectives, based on these six designs.

The purpose of this study was to investigate the effective factors on the selection of managers including experience, education, executive and managerial records, and age in textile factories in Mazandaran province. The present study is based on the nature and purpose of the research, which is an applied research method and is a descriptive study based on how data is collected. The statistical population of this study is the directors of textile and textile factories in Mazandaran province. In order to investigate the effective features of the selection system for managers in terms of experts and review documents. The inferential statistics of the data were used for the chi-square, t-test and t-test. The findings of this study indicate that the selection of managers in Textile Units of Mazandaran province was not suitable and the managers of this industry did not have relevant administrative and managerial backgrounds, related work experience, related education, as well as appropriate age conditions, and it can be claimed that one of the effective factors In the downturn of this industry in Mazandaran province, the ineffectiveness of the system is the choice of industry managers.

In the present research, after preparation of initial materials, nano-clay-polypropylene polymeric rice composite and rice bran were prepared by melt blending method with different percentages of nanoparticles. Its properties and structural was investigated by XRD, electronic microscopy imagines and tensile strength was investigated.  Mechanical properties including nanocomposite structure, tensile strength, impact resistance, water vapor absorption, oxidation resistance, melting point were investigated. The tensile strength increases with increasing nanoparticle content but decreases with increasing consumption by more than 5%. By increasing the concentration of nanoparticles in the matrix in the percent Higher weights, impact properties and water absorption and oxidation resistance decrease, but the melting point of the samples increases with increasing nanoparticles, indicating a uniform phase between the nanoparticles and the polymer surface and the shrinkage of the container will be reduced. According to the microscopic images of the specimens, it was found that there is a special bond between the two phases, in fact, there is actually a single phase in the composites

This study examined an innovative approach for imparting enhanced mechanical, antimicrobial and coloration properties on wood-plastic composite. In this regard, the wood fibers were primarily bleached with sodium chlorite and then dyeing of fibers were carried out with green walnut shells as a natural dye. In the next step, wood plastic composite was prepared by mixing treated wood fibers into polyvinyl chloride. After bleaching, 58.8 wt.% of lignin was removed. Delignin wood fibers had brighter color compared to original wood fibers. The structure and morphology of the composite has been examined by field emission scanning electron microscopy (FE-SEM). Influences of bleaching and natural dyeing on color, antibacterial and mechanical properties of the composite were investigated. The wood/polyvinyl chloride composite showed excellent antibacterial activity measured against two common pathogenic bacteria including Escherichia coli and Staphylococcus aureus. The composite sample exhibited 100% reduction for both bacteria. Furthermore, the color variation of the bleached sample after sunlightsun light irradiation was negligible, which demonstrated the proper color fastness of the composite.

In recent years, by developing science and technology and creating competitive markets in the apparel industry, the necessity of quality control, the quantitative and qualitative parameters measurement and the prediction of the final product properties have been found to be of great importance. Today, factories are looking for machine vision and image processing algorithms, because in these methods not only there is no need to expensive and complex apparatuses, but also using a computer and a camera lead to highly accurate results and minimum possible errors in the shortest possible time. In this study, the machine vision based researches in the apparel industry were reviewed such as measuring the human body and preparing proper body size, converting the paper pattern into a correctable and sizable digital pattern, designing and classifying the fashion and apparel, the virtual peru clothing, determining the clothing defects automatically, using thermal camera in the comfort clothing.

As creating and developing brands is very important in the promotion of any industry, supporting existing brands and facilitating the creation of new ones in the apparel industry, will pave the way to boost exports and flourish the industry. The aim of this descriptive study was to identify and investigate the branding challenges in the Iranian apparel industry and to find strategies to overcome the challenges based on the opinions and suggestions of consumers and textile experts.  For this purpose, questionnaires were designed for two target populations, i.e., consumers and industry experts. 385 consumers filled either the web-based (160) or the paper-based (225) questionnaires. 34 textile experts also responded and 29 of them filled the paper-based questionnaires. Statistical analysis with the confidence level of 0.05 was performed to investigate the responses. The results showed that “being influenced by people around” had the most significant effect on “the purchasing branded garments”, and “the consumer spending power” had a meaningful correlation with “the brand familiarity”. Based on the consumers’ and experts’ responses, the most common branding challenges and opportunities in the textile industry were listed and the solutions to the challenges facing the garment industry were proposed.