Fashion and Textiles最新文献

Fashion or apparel refers to a topic discussed publicly as an indispensable discipline on a day-to-day basis, which has aroused rising attention from academic sessions over the past two decades. However, since the topic of fashion design covers knowledge in extensive ranges and considerable information, scholars have not fully grasped the research field of fashion design, and the research lacks directional guidance. To gain more insights into the existing research status and fronts in the fashion design field, this study conducts a quantitative literature analysis. The research of this study is conducted by employing CiteSpace technology to visualize and analyze 1388 articles regarding “fashion design” in the Web of Science (WOS) Core Collection. To be specific, the visualization and the analysis concentrate on the annual number of articles, author collaboration, institutional collaboration, literature citations, keywords clustering, and research trend evolution of the mentioned articles. As highlighted by this study, the effect of the US and the UK on academic research in fashion design is relatively stronger and extensive. Sustainable fashion refers to the research topic having aroused more attention since 2010, while new research topics over the past few years consist of “wearable fashion”, “transgender fashion” and “medical fashion”. The overall research trend of fashion design is developing as interdisciplinary cross research. This study systematically reviews the relevant literature, classifies the existing research status, research hotspots and frontier trends in the academic field of “fashion design”, and presents the knowledge map and information of literature for researchers in relevant fields.

This paper presented a systematic approach to electro-textile pressure sensors dependent on interdigitated capacitors (IDCs) printed on fabric. In this study, we proposed a highly sensitive, broad-range pressure sensor based on the combination of porous Ecoflex, carbon nanotubes (CNTs), and interdigitated electrodes. Firstly, characterizations of the interdigitated capacitor using silver ink on Cotton and Polyester fabric were completed by precision LCR meter across the frequency range from 1 to 300 kHz. The effect of the fabric on the performance of sensor sensitivity was included. Secondly, estimating and optimizing the volume fraction of CNTs and air gaps on the properties of composites are included. The presence of volume fraction CNTs enhanced the bond strength of composites and improved sensor deformability. The robustness of the presented sensor was demonstrated by testing under high pressure at 400 kPa for more than 20,000 cycles. Thirdly, the combination of CNTs and porous dielectric achieved a broad detection range (400 kPa) with a sensitivity range from 0.035 (at 400 kPa) to 0.15 ({mathrm{KPa}}^{-1}) (at 50 kPa). Finally, the Cotton and Polyester substrate comparison demonstrates that selecting a suitable dielectric substrate affects sensor sensitivity and signal output.

In recent years, rapid economic growth and a rising personal income have increased the demand for personalized services. To address this demand, the fashion industry and academia are increasingly analyzing and developing methods to provide personalized fashion design products. This study investigated an emotional data and data visualization-based design method for personalized fashion products. By visualizing emotions and involving consumers, we generated experimental designs to encourage interpersonal and emotional communication. In addition, we proposed methods for visualizing 28 levels of emotion in design elements, as well as a generative design process based on emotional and personal text messages. In fashion products, we used color and print to match the emotion and intensity of the emotion. As a result, 40 design experiment participants rated personalized fashion design tools, outcomes, and purchase intention positively. The highest score was received by the average value for expression of personality (4.43), purchase intention (4.38), and preference and recommendation (4.42). Consequently, this study could be applied to the use of personal data in generative fashion design, as well as the systemization of the data-driven design method for personalized and participatory fashion design.

This study aimed to investigate consumers’ intentions to purchase sustainable masks to reduce the environmental pollution caused by disposable masks in the context of COVID-19. A research model was derived based on the Value-Belief-Norm theory and the Theory of Planned Behavior, and the moderating role of health concerns and environmental knowledge due to the COVID-19 pandemic were examined. Through a Korean online survey company, we collected data on sustainable masks from respondents aged from their 20 s to 50 s, living in the Korea, and a structural equation analysis was performed on the 337 valid samples. Environmental concerns and beliefs were found to have a positive impact on the purchase intention on sustainable masks. Although environmental knowledge played the role of a moderator, we found that the higher the health concern, the stronger the purchase intention. Based on these results, it is possible to derive a strategy to increase the purchase of sustainable masks and reduce the environmental pollution caused by disposable masks. A sales strategy should be implemented for groups with high health concern. In addition, since the subjective norm increases the purchase intention for sustainable masks, advertising that stimulates them will help reduce environmental pollution caused by disposal masks. In the future, it will be possible to help reduce environmental pollution not only during the COVID-19 pandemic, but also during other emerging pandemics.

While numerous sociopsychological factors affect one’s acceptance of cosmetic surgery, little is known about the sociopsychological influences that lead to cosmetic surgery acceptance based on one’s prior experience with cosmetic surgery. The present study identified the differences between two groups: women with cosmetic surgery experience and women without prior cosmetic surgery experience. A research model was developed with five hypotheses to identify the four sociopsychological influences on cosmetic surgery acceptance: upward appearance comparison, awareness of an emphasis on beauty ideals, internalization of beauty ideals, and body surveillance. Data were collected from 651 South Korean women in their 20 s to 40 s and were analyzed using second-order confirmatory factor analysis and multi-group structural equation modeling. In the cosmetic surgery group, upward appearance comparison, awareness of an emphasis on beauty ideals, and body surveillance had a positive effect on cosmetic surgery acceptance. Internalization of beauty ideals and body surveillance also had a positive effect on cosmetic surgery acceptance in the no cosmetic surgery group. Additionally, the effects of upward appearance comparison, awareness of an emphasis on beauty ideals, and internalization of beauty ideals on cosmetic surgery acceptance varied significantly between the two groups. The findings add insights on the design of therapeutic programs to prevent cosmetic surgery addiction and education programs to increase body appreciation.

The second component of this three-paper series studying cloth face masks for children ages 4 to 6 years old concentrates on optimizing aerosol capture and air permeability through fabric selection. Material choices were evaluated in two modes: Flat Filter (FF) and Head Form (HF). FF isolates material factors while HF simulates the performance of the constructed masks on a 3D printed child head form. In FF mode, higher filtration efficiency correlated to lower air permeability in both reusable commercial and experimental face masks regardless of fiber contents, fabric structures, and number of layers. Our prototype face mask developed in design exploration successfully captured 37 ± 12% of 0.3 μm, 87 ± 3% of 0.5 μm, and 87 ± 2% of 1.0 μm particles while maintaining good air permeability, moisture capture, and aerosolized salt capture in HF mode. Sealing masks to minimize outward leakage reduced particle capture up to 64%. Particle leakage data captured at the eye level of the head form illuminated the synergy between mask design, material choice, and fit.

Between 2010 and 2014, the National Fire Protection Association (NFPA) estimated that female firefighters experienced 1260 injuries on the fireground each year. Previous research attributed some of these injuries to ill-fitting fire personal protective equipment (PPE). Therefore, in this mixed-method paper, the authors explored the relationship between fire PPE and injuries, and how they related to sizing and fit. To achieve this aim, data were collected from manufacturer-provided web communications regarding sizing and fit, user surveys (n = 74), and 1:1 interviews (n = 31) with U.S. female firefighters. The data considered how the size and fit standards established by the NFPA and how leading fire PPE manufacturers’ interpretation of standards impacted fit for female firefighters. Interview and survey data pinpointed experiences with the PPE sizing processes that led to poor fit. The data also identified previously undocumented knowledge gaps between NFPA size standards, commercialized products, and processes used by manufacturers and firehouses to fit female practitioners. The study discovered several opportunities to improve the size and fitting process women experienced when acquiring new turnout gear. With effective fire industry partnerships and future research, women can experience fewer injuries, improved comfort, and work performance with their PPE while establishing equality with their male counterparts.

For the integration of conductive yarns in e-textiles, knitting offers structural versatility and malleability for wider product applications in the contexts of wearables and interiors. To enable mass adoption of conductive materials, it is imperative for users to be able to launder these materials as part of product maintenance. Interactive textiles knitted from polymeric optical fibres (POFs) and silver-coated conductive yarns are able to illuminate and change colours via integrated touch sensor systems. Current research only focuses on the washability and abrasion resistance of conductive yarns solely and not both POF and conductive yarn within the same fabric structure. This study is novel as it investigates the washability and abrasion resistance of POF and silver-coated conductive yarn integrated knitted textiles with different loop structures and the impact to their illuminative function. POFs were knitted within the same fabric structure by the inlay method using a 7-gauge industrial hand-operated flatbed knitting machine. This study examined how washing and abrasion affect POFs and silver-coated conductive yarn in five different knit structures, and the illuminative function of the knitted textiles. Washing and abrasion affected the resistance of conductive yarns. Scratches and bent POFs were observed after 20 gentle washing cycles. However, washing had minimal impact on the illuminative function of the knitted e-textiles examined in this study. The experiments provide evidence that e-textiles knitted with POFs and conductive yarns in the same fabric structure withstand washing and abrasion and thus have the potential for mass market adoption in fashion and interior applications.

The shape memory textile actuator uses a shape memory alloy that changes its crystal structure according to temperature and then returns to its initial shape, which is suitable for wearable applications that value wearing and portability. The shape memory effect of returning to the initial shape and the complex fabric structure influence each other, and accordingly, various drives have been measured in many studies. Therefore, in this study, the driving force, which is the most important physical property of the shape memory textile actuator, was analyzed through a scale-up finite element analysis. In the wire scale, a shape memory alloy wire was obtained for an analysis of the mechanical and thermal properties through tensile tests and DSC, and in the unit cell scale, a 3D knit structure was modeled using the Texgen and Weftknit programs. Finally, a supercell of size 5 × 5 was subjected to external deformation by displacement and heating conditions using disposition through the ANSYS program. The driving force was measured through microanalysis. Subsequently, the driving force of the manufactured shape memory textile actuator was compared and analyzed to determine the suitability of this method. Furthermore, the direction of subsequent studies was mapped based on the analysis presented on the differences in the maximum driving force and error rate.

Sustained competitive advantage in developing nations is driven by human development through intangible assets that come from education. Grounded from Barney’s (Journal of Management 17:99–120, 1991) resource-based theory, this study was designed (a) to assess El Salvador’s textile and apparel (T&A) industry by identifying key knowledge gaps, (b) to create human capacity building opportunities using Kolb’s experiential learning theory for T&A supply chain members, and (c) to measure effectiveness of such opportunities through principle-attributes matrix, ultimately helping the industry sector compete. A case study research study approach was used to develop a comprehensive approach to develop four educational workshops for Salvadorian T&A supply chain members from April 2019 to February 2020. Pre and post surveys measured workshops’ effectiveness in knowledge, skills, and attitudes. The results showed that there was a statistically significant difference in pre- and post means for knowledge, skills, and attitudes for all four workshops. Further analysis showed that each of the workshops statistically changed participants’ human capacity in supply chain management, product development, marketing, and CAFTA-DR provisions. The study shows that educational theory could be used successfully for human capacity building in developing nations and supply chain training.