Advances in Computer Numerical Control Machining and Precision Machining of Advanced Materials
A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Manufacturing Processes and Systems".
Deadline for manuscript submissions: 20 April 2026 | Viewed by 956
Special Issue Editors
Interests: CNC machining; processes optimization; surface quality
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Today, machining performed on numerically controlled (CNC) machines is adapting to technological advances and growing global challenges related to sustainable development and production automation. At the same time, optimizing production processes and systems to meet high quality and efficiency standards, process modern engineering materials, and achieve environmental responsibility is a key challenge for the industry. Therefore, the aim of this Special Issue is to present innovative machining methods and strategies that contribute to improving the efficiency and quality of manufacturing components from difficult-to-cut materials, composites, biodegradable and biocompatible materials, ceramics, and modern metal alloys. Emphasis is also placed on achievements in the fields of production automation and robotization, Industry 4.0 strategies, and the optimization of additive and hybrid manufacturing, data-driven digitization, and process optimization, improving the sustainability of manufacturing processes, minimizing waste and resource consumption, reducing pollutant emissions, and advancing the principles of the circular economy.
The thematic scope includes, but is not limited to, the following:
- Modern methods of CNC process programming and optimization;
- Applications of artificial intelligence and machine learning in control and monitoring;
- Adaptive machining strategies and tool condition monitoring;
- Experimental research on the machining of advanced materials;
- Development of cutting tools and protective coatings;
- Modeling in precision machining;
- Application of hybrid technologies;
- Sustainable and energy-efficient strategies for precision machining.
This Special Issue is aimed at scientists, engineers, and industrial practitioners interested in the development of technologies for machining modern materials. The published articles cover both experimental research results and theoretical analyses, as well as industrial case studies, demonstrating a wide range of CNC technology applications in modern precision manufacturing.
We look forward to receiving your articles.
Dr. Andrzej Matras
Guest Editor
Dr. Anna Gaweł
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-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Materials is an international peer-reviewed open access semimonthly 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
- process optimization
- additive and hybrid manufacturing
- CNC Machining
- precision machining
- difficult-to-cut materials
- biomaterials
- advanced materials
- machine learning
- modelling
- production automation
- robotization
- Industry 4.0
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