Feature Reviews for Advanced Textiles
A topical collection in Textiles (ISSN 2673-7248).
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Editor
Prof. Dr. Rajesh Kumar Mishra
Prof. Dr. Rajesh Kumar Mishra
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Collection Editor
Department of Material Science and Manufacturing Technology, Faculty of Engineering, Czech University of Life Sciences Prague, Kamycka 129, Prague, Czech Republic
Interests: bio-based composite materials; textile structural composites; fibrous material science; nanomaterials in composites; green composite
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Topical Collection Information
Dear Colleagues,
The Collection Editor invites review collections on the emerging fields of textiles used in the composites industry, as well as construction and architectural applications. The systematic review should present the state-of-the-art in a specific field of application, using fibers, yarns, fabrics, and textiles in general for engineering fields, e.g., automotives, aviation, housing, sports, telecommunication, electronics, and defense, to name a few. Use of bioresources (natural fibers) as well as high-performance synthetic fibers should be explored and updated in the selected application area. The topics of interest may include the following, among others:
- fibers in composites
- biocomposites
- green composites
- nanocomposites
- textile reinforced composites
- fibers in concrete
- technical textiles
- protective textiles
- electronic textiles
Prof. Dr. Rajesh Kumar Mishra
Collection Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the collection website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Textiles is an international peer-reviewed open access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript.
The Article Processing Charge (APC) for publication in this open access journal is 1200 CHF (Swiss Francs).
Submitted papers should be well formatted and use good English. Authors may use MDPI's
English editing service prior to publication or during author revisions.
Keywords
- fibers in composites
- biocomposites
- green composites
- nanocomposites
- textile reinforced composites
- fibers in concrete
- technical textiles
- protective textiles
- electronic textiles
Published Papers (2 papers)
2025
Open AccessReview
Advancing Circular Economy Practices Using AI-Powered Colour Classification of Textile Fabrics: Overview and Roadmap
by
Rocco Furferi
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Abstract
Classification is a crucial task for reintroducing end-of-life fabrics as raw materials in a circular process, thus reducing reliance on dyeing processes. In this context, this review explores the evolution of automated and semi-automated colour classification methods, emphasizing the transition from deterministic techniques
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Classification is a crucial task for reintroducing end-of-life fabrics as raw materials in a circular process, thus reducing reliance on dyeing processes. In this context, this review explores the evolution of automated and semi-automated colour classification methods, emphasizing the transition from deterministic techniques to advanced methods, with a focus on machine learning, deep learning, and particularly Convolutional Neural Networks (CNNs), and Recurrent Neural Networks (RNNs). These technologies show potential for improving accuracy and efficiency. The results highlight the need for enriched datasets, deeper AI integration into industrial processes, and alignment with circular economy objectives to enhance sustainability without compromising industrial performance. Tested against a case study, the different architectures confirmed the state-of-the-art statements demonstrating that they are effective in classification, with better performance reached by CNN-based methods, which outperforms other methods in most colour families, with an average accuracy of 86.1%, indicating its adaptability for this task. The adoption of the proposed AI-based colour-classification roadmap could be effective in reducing dyeing operations, lower costs, and improve sorting efficiency for textile SMEs.
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Open AccessReview
A Brief Review of Mechanical Recycling of Textile Waste
by
Md Mayedul Islam, Rong Yin and Andre West
Viewed by 2222
Abstract
The fast fashion industry has significantly increased global textile demand, driving a surge in fiber production. However, only a minimal portion of this fiber comes from recycled sources. In the United States alone, a vast amount of textile waste is generated annually, with
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The fast fashion industry has significantly increased global textile demand, driving a surge in fiber production. However, only a minimal portion of this fiber comes from recycled sources. In the United States alone, a vast amount of textile waste is generated annually, with over half ending up in landfills, contributing to environmental degradation and global warming. These developments underscore the urgent need for scalable and efficient textile recycling solutions to address both economic and ecological challenges in the fashion industry. Among recycling methods, mechanical recycling stands out for its low cost and simplicity, making it suitable for processing various types of textile waste. This article reviews current knowledge, identifies key research gaps, and provides direction for future studies in mechanical textile recycling. Despite progress, significant challenges remain in improving the quality and efficiency of recycled fiber. This study shows the importance of advancing pretreatment methods and sorting technologies, and highlights understanding regarding shredding, opening processes, and fabric structural properties.
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