Laser Welding and Cladding: Recent Developments
A special issue of Coatings (ISSN 2079-6412). This special issue belongs to the section "Laser Coatings".
Deadline for manuscript submissions: 20 September 2026 | Viewed by 33
Special Issue Editors
Interests: laser powder bed fusion; material jetting; laser cladding; electrical discharge machining; aircraft structures; fiber metal laminates; bird strike
Interests: additive manufacturing; WAAM; directed energy deposition; laser polishing
Interests: metallic additive manufacturing; laser/electron powder bed fusion; wire arc additive manufacturing; additive friction stir deposition; quality control; material characterization and testing; process monitoring and control; process modelling
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Laser welding and cladding of compatible and/or non-compatible materials is one of the most important and effectively used technologies in different industries (aerospace, automotive, defence, etc.) by providing functional coatings to mechanical parts. The end quality of laser-welded and cladded parts depends on several factors, such as process parameters, materials, and process environment. Since several developments have been observed in different aspects of the laser welding and cladding process (new defect detection and prediction methods, enhanced laser capabilities, new process parameter optimization methods, different machine learning algorithms, etc.) in recent years, it is very important for scientific and engineering societies to share their studies, findings, and learnings to help improve the knowledge about these processes.
Thus, we encourage you to submit your original research studies based on experimental data and/or numerical simulations and review articles to this Special Issue, titled “Laser Welding and Cladding: Recent Developments”. The topics of interest for this Special Issue, in particular, include (but are not restricted to) the following:
- Laser welding and cladding of non-compatible new groups of materials;
- New methods for enhancing wear resistance of laser cladding coatings;
- New defect detection and prediction methods for laser welding and cladding;
- Machine learning applications in laser welding and cladding;
- Multi-objective optimization methods for process parameters;
- New advancements in high-speed laser welding and cladding;
- Laser welding and cladding applications in aerospace, automotive, and defense industries;
- Laser welding and cladding in different environments;
- Any other aspects of laser welding and cladding.
Dr. Orhan Gülcan
Prof. Dr. Oğuzhan Yılmaz
Dr. Evren Yasa
Guest Editors
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-blind 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
- laser welding
- laser cladding
- defects detection and prediction
- multi-objective optimization
- wear resistance
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