State of the Art in Metal Cutting and Machining

A special issue of Metals (ISSN 2075-4701).

Deadline for manuscript submissions: 25 June 2025 | Viewed by 164

Special Issue Editors


E-Mail Website
Guest Editor
R&D Department, Palbit S.A., Palhal-Rua das Tílias S/n, 3850-582 Branca, Albergaria-a-Velha, Portugal
Interests: hardmetal processing; mechanical properties; additive manufacturing; coatings development; cutting tools; machining process
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
R&D Department, Palbit S.A., Palhal-Rua das Tílias S/n, 3850-582 Branca, Albergaria-a-Velha, Portugal
Interests: cutting tools; metal cutting; laser surface modification; additive manufacturing; laser melting/sintering; hybrid laser manufacturing; multi-material design.
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The global requirements for more sustainable processes and materials bring new challenges that need to be addressed. Machining processes and metal cutting are substrative processes that require continuous improvements to fulfill the new demands. The continuous development of artificial intelligence, more specifically deep learning and machine learning techniques than can predict machining behavior, the wear of cutting tools, and help to improve the overall productivity of the process, is one of this investigation’s drives. Also, the progress in cutting tool sensorization in order to acquire cutting data in real time that can contribute to a cutting tools’ lifetime increase is another drive. For a more sustainable machining process, minimum-quantity lubrication (MQL) methods are also being investigated. Therefore, we are currently seeing an increase in publications within this topic, reinforcing the publication of this Special Issue.

This Special Issue provides an opportunity to present the recent advances in metal cutting and machining process. In this Special Issue, we welcome high-quality reviews, articles, and short communications that focus on new developments in cutting tools and performance evaluations, machining simulations, deep and machine learning techniques, and process sensorization, MQL investigation.

Dr. Cristina M. Fernandes
Dr. Bruno Guimarães
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.

Keywords

  • metal cutting
  • machining processes
  • artificial intelligence
  • deep learning
  • machine learning
  • sensorization
  • minimum-quantity lubrication

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Published Papers

This special issue is now open for submission.
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