Self-healing and repair of fabrics: A comprehensive review of the application toolkit

Srivatsan Ramesh, Saad Khan, Yaewon Park, Ericka Ford, Stefano Menegatti, Jan Genzer

Research output: Contribution to journalReview articlepeer-review

7 Citations (Scopus)

Abstract

Self-healing fabrics respond to chemical and physical damage by restoring functional, structural, and morphological features. We present a comprehensive review of textile hybrids or composites capable of self-healing and repairing fabrics against damages across the micro- (µm), meso- (µm – mm), and macro-scale (>mm). The reviewed literature is organized in three sections presenting (i) the chemistry and fabrication principles of designing self-healing fabrics against increasing size scales of repair, (ii) stimuli-driven and autonomous healing, and (iii) the methods to characterize the recovery of wettability, barrier, morphological, mechanical, and other properties. The discussion of mainstream methods for developing self-healing fabrics focuses on coatings, composites, and specialized fabrication techniques required as the damage size grows from µm to mm to >mm. The section on stimuli-driven repair and autonomous recovery discusses the time scales associated with different damage repair, showing how external stimuli provide a higher driving force towards healing and accelerate material restoration than autonomous recovery. Finally, an array of optical, mechanical, and functional characterization techniques is discussed to evaluate the recovery yield and understand the repair mechanisms of the various fabrics. This review demonstrates the virtually limitless uses of next-generation self-healing systems, from separations to protective clothing, anti-fouling, and self-cleaning.

Original languageEnglish
Pages (from-to)90-109
Number of pages20
JournalMaterials Today
Volume54
DOIs
Publication statusPublished - 2022 Apr

Bibliographical note

Funding Information:
The authors thank The Nonwovens Institute at North Carolina State University for funding the research (grant #18-218). The authors thank Srikanthan Ramesh (Rochester Institute of Technology, NY) and Dr. Shreya Erramilli (North Carolina State University, NC) for brainstorming both the structure and methodology of collecting the data for this review. The authors credit icons used in the graphical abstract and Fig. 2 to Magicon, Rifqi Azza, Mint Shirt, Guilhem M, Brennan Novak, Milinda Courey, Vectors Point, Marek Polakovic, Oleksandr Panasovskyi, icon 54, Sachin Modgekar, and Ivan Chemykh from the nounproject.com. Yaewon Park acknowledges the funding support from the Yonsei University Research Fund of 2021 (2021-22-0044).

Funding Information:
The authors thank The Nonwovens Institute at North Carolina State University for funding the research (grant # 18-218 ). The authors thank Srikanthan Ramesh (Rochester Institute of Technology, NY) and Dr. Shreya Erramilli (North Carolina State University, NC) for brainstorming both the structure and methodology of collecting the data for this review. The authors credit icons used in the graphical abstract and Fig. 2 to Magicon, Rifqi Azza, Mint Shirt, Guilhem M, Brennan Novak, Milinda Courey, Vectors Point, Marek Polakovic, Oleksandr Panasovskyi, icon 54, Sachin Modgekar, and Ivan Chemykh from the nounproject.com. Yaewon Park acknowledges the funding support from the Yonsei University Research Fund of 2021 ( 2021-22-0044 ).

Publisher Copyright:
© 2021 Elsevier Ltd

All Science Journal Classification (ASJC) codes

  • Materials Science(all)
  • Condensed Matter Physics
  • Mechanics of Materials
  • Mechanical Engineering

Fingerprint

Dive into the research topics of 'Self-healing and repair of fabrics: A comprehensive review of the application toolkit'. Together they form a unique fingerprint.

Cite this