Machining Technology for Metallic Materials

Dear Colleagues,

Metal machining technologies form the foundation of any modern economy. The demand for machined products and components has been increasing in recent decades, even with advances in additive manufacturing techniques, which still cannot achieve the required surface finish for many applications.

In the modern machining industry, three key aspects should be highlighted: First, in terms of machining, advanced machine design, digital twins, Industry 4.0 concepts, and CNC controllers are crucial for ensuring precision and reducing manufacturing times. Secondly, from the modeling and planning perspective, advances in process modeling and the implementation of new computational tools have enhanced productivity and our understanding of manufacturing processes. Lastly, from a process perspective, the continuous development of new technologies for cutting tools such as geometry, materials, and coatings, as well as the development of new lubricoolant solutions and materials for engineering applications, has introduced new cutting phenomena and tribological challenges that need to be addressed.

This Special Issue provides a platform for researchers to share their latest findings on theoretical and engineering advancements in metal machining technology. Submissions presenting experimental research conducted under real-world conditions are particularly encouraged. Additionally, theoretical studies included in this Special Issue are expected to introduce original ideas and potential solutions that contribute to advancements in machining science.

Topics include, but are not limited to, the following themes:

• Cutting phenomena: tribological effects and fracture toughness in metal cutting;
• Cutting tools: materials, geometry, and coatings;
• Cutting fluids and green technologies in manufacturing;
• Cutting process modeling/simulation and implementation in computational tools;
• Case studies of ultraprecision machining, micromachining, large-sized components, and thin-walled components;
• Machine design: structural and kinematic design;
• Industry 4.0: CNC and data cloud communication interface, machine sensors, digital twin, and CNC remote control;
• Modal analysis, stiffness of the tool holder, machine, cutting tool, and part fixture optimization;
• Tool path optimization and CAD/CAM planning.

Prof. Dr. Adriano Fagali de Souza
Prof. Dr. Alessandro Roger Rodrigues
Prof. Dr. Pedro Rosa
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 100 words) can be sent to the Editorial Office for announcement on this website.

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. Metals 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.

• machining tools
• high-performance CNC
• ultraprecision machining process
• tool paths
• machine simulation
• machining process simulation
• Industry 4.0