Intelligent Life-Cycle Management of Coatings: From Controllable Fabrication to Data-Driven Non-Destructive Evaluation
A special issue of Coatings (ISSN 2079-6412).
Deadline for manuscript submissions: 12 May 2027 | Viewed by 109
Editors
Interests: electromagnetic field modelling; fault diagnosis of nuclear power components
Special Issues, Collections and Topics in MDPI journals
Interests: industrial artificial intelligence; non-destructive testing and life cycle assessment of special equipment; intelligent monitoring and fault diagnosis
Interests: intelligent process control; reinforcement learning-based optimization; data-driven performance prediction; nondestructive health assessment for advanced coating systems
Special Issue Information
Dear Colleagues,
Recent advances in artificial intelligence, advanced control theory and non-destructive evaluation are providing new methodological support for coating research and engineering applications. Conventional coating development often treats formulation design, fabrication processes and service performance evaluation as relatively independent stages, which may lead to prolonged development cycles, over-reliance on experience for process parameters, limited process stability, and delayed failure analysis. With the development of intelligent manufacturing, industrial digitalization and materials informatics, coating research is increasingly shifting from single-property optimization toward the coordinated development of design, fabrication, inspection and service assessment.
This Special Issue focuses on intelligent fabrication, data-driven modelling, process control, quality inspection and service performance evaluation throughout the coating life cycle. Particular attention will be paid to the application of advanced control methods in coating fabrication processes, artificial intelligence in coating design, process modelling and performance prediction, and non-destructive evaluation in coating quality assessment, defect identification and in-service condition monitoring. By promoting data integration and methodological convergence across design, fabrication, inspection and evaluation, this Special Issue aims to support the transition of coating research and manufacturing from trial-and-error approaches to model-driven, data-driven and intelligent decision-making frameworks.
We welcome submissions from researchers working in coating materials, surface engineering, intelligent manufacturing, artificial intelligence, advanced control, non-destructive evaluation and reliability assessment. Topics of interest include, but are not limited to, the following:
- Adaptive control, model predictive control, robust control and optimal control methods for coating fabrication processes;
- Process modelling, parameter optimization and intelligent control for precision coating, plasma spraying, physical/chemical vapour deposition, electrodeposition, thermal spraying and related coating processes;
- Machine learning, deep learning and data-driven methods for coating formulation design, process window optimization and performance prediction;
- Computational simulation and data-driven modelling of coating/substrate interfacial behaviour, microstructural evolution and multiphysics coupling processes;
- Intelligent inspection and evaluation of coating quality indicators, including thickness, uniformity, porosity, adhesion, cracks and inclusions;
- Novel non-destructive evaluation methods and multi-source information fusion for detecting coating/substrate interfacial defects, internal defects and surface defects;
- Failure-mode identification and degradation modelling of coatings under corrosion, wear, ageing and delamination processes;
- Online health monitoring, remaining useful life prediction and reliability assessment of coatings during service.
Dr. Qi Xiao
Dr. Lei Wang
Guest Editors
Dr. Shuhang Yu
Guest Editor Assistant
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 special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Coatings is an international peer-reviewed open access monthly 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 2600 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
- intelligent fabrication and control of coatings
- data-driven modelling and design for surface
- non-destructive evaluation and intelligent inspection of coated systems
- failure analysis and life prediction of coatings
- non-destructive evaluation and intelligent inspection
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