With the growing frequency and quantity of clothing purchases, the elimination rate of waste clothing is increasing. Many researchers have contributed to the topic of the recycling and reuse of waste clothing, and therefore many related literature reviews are emerging. The current reviews only focus on waste textile recycling and waste-clothing life-cycle evaluation. The topic of waste-clothing recycling itself is ignored. In this article, we propose a systematic review of the recycling and reuse of wasted clothes. Firstly, we summarize the existing methods of waste-clothing collection and recycling and the related recycling technology, and discuss their advantages and disadvantages. The involved literatures are journal articles, book chapters, and conference papers selected from Google Scholar and Web of Science. Citespace software, as a literature visualization tool is used for the analysis. Based on this review, the low efficiency of waste-clothes recycling can be attributed to poor organization from a management aspect. From a consumer perspective, because of the differences in understanding among consumers about waste-clothing recycling, the existing clothing-recycling system cannot be fully utilized. The results of this review provide reference for further research on waste-clothing recycling, and make suggestions for the relevant governmental/industrial development strategies.

This paper explores the influence of textile, physiological, and sensorial parameters on sock comfort. Comfort parameters of sport socks were evaluated in two different sport exercises by a non-trained panel. The criteria of the sensory evaluation were perceived foot temperature, fabric dampness, and pain. No rating scale or common lexicon was needed for the sensory evaluation. Foot temperature and humidity were measured during the sport exercises by sensors integrated in the footwear, while coefficients of friction between sock fabric samples and a mechanical skin model were measured using a previously developed Textile Friction Analyzer. The influence of textile, physiological, and sensorial parameters on the sock comfort was statistically investigated. Significant correlations were found between physiological and sensorial parameters as well as between the fabric friction and perceived comfort. Perceived comfort depended on the fibre content of sock fabrics and on the perceived dampness and temperature of the feet. Surface roughness and water content of the textiles had no influence on sock comfort. The new approach of sensory evaluation using a non-trained panel is suitable for the assessment of sock comfort. Using test parameters simulating the contact conditions between foot and sock in sport activities, the Textile Friction Analyzer is an appropriate device to determine the fabric friction which is related to the sock comfort. The results of this research represent a first step towards a better understanding of the influence of different parameters on sock comfort.

In the context of fashion/textile innovations towards Industry 4.0, a variety of digital technologies, such as 3D garment CAD, have been proposed to automate, optimize design and manufacturing processes in the organizations of involved enterprises and supply chains as well as services such as marketing and sales. However, the current digital solutions rarely deal with key elements used in the fashion industry, including professional knowledge, as well as fashion and functional requirements of the customer and their relations with product technical parameters. Especially, product design plays an essential role in the whole fashion supply chain and should be paid more attention to in the process of digitalization and intelligentization of fashion companies. In this context, we originally developed an interactive fashion and garment design system by systematically integrating a number of data-driven services of garment design recommendation, 3D virtual garment fitting visualization, design knowledge base, and design parameters adjustment. This system enables close interactions between the designer, consumer, and manufacturer around the virtual product corresponding to each design solution. In this way, the complexity of the product design process can drastically be reduced by directly integrating the consumer’s perception and professional designer’s knowledge into the garment computer-aided design (CAD) environment. Furthermore, for a specific consumer profile, the related computations (design solution recommendation and design parameters adjustment) are performed by using a number of intelligent algorithms (BIRCH, adaptive Random Forest algorithms, and association mining) and matching with a formalized design knowledge base. The proposed interactive design system has been implemented and then exposed through the REST API, for designing garments meeting the consumer’s personalized fashion requirements by repeatedly running the cycle of design recommendation—virtual garment fitting—online evaluation of designer and consumer—design parameters adjustment—design knowledge base creation, and updating. The effectiveness of the proposed system has been validated through a business case of personalized men’s shirt design.