Progress in Self-Healing Coatings
A special issue of Coatings (ISSN 2079-6412).
Deadline for manuscript submissions: closed (25 November 2018) | Viewed by 30825
Special Issue Editor
Interests: coatings; self-healing; polymers; electrochemistry; corrosion; responsive polymers; functional coatings; biobased and bioinspired coatings
Special Issue Information
Dear Colleagues,
High surface area applications, such as coatings, are highly prone to suffer all kind of damages, which can be time-dependent (i.e., fatigue damage, such as aging leading to cracking) and/or one-time adverse events (i.e., sudden event damage, such as impact or scratch). All in all, such damages can ultimately lead to the loss of the main coating function. As a solution to limit the impact of damages on the overall performance, strategies using self-healing or healable principles can be designed. Under this concept, materials (coatings) will be able to autonomously, or with as-little-human-intervention-as-possible, repair the existing damage to fully or partially recover the original function and extend their service life.
Since the appearance of the first self-healing concepts in the early 2000s the field of self-healing coatings has significantly evolved. Multiple healing strategies and chemistries following both extrinsic and intrinsic concepts have been proposed under the universal principle of local temporary mobility and have targeted diverse coating functions such as corrosion protection, self-cleaning, electrical and thermal conductivity, or barrier. Simultaneously, the field has moved from lab-scale tests into application-driven research including areas as diverse as automotive, biomedical, aerospace, construction or electronics.
In this Special Issue, we aim at offering a broad overview of the research field on self-healing coatings. Industrial and academic, experimental and modelling, original research and application/field specific review papers are welcome. The selection process of papers will be made based on quality, as well as targeting at a maximized field representation.
We are looking forward to receiving your contributions,
Prof. Dr. Santiago J. García
Guest Editor
Manuscript Submission Information
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