Learning from Metal: Machine Intelligence in Forming Processes
A special issue of Metals (ISSN 2075-4701). This special issue belongs to the section "Computation and Simulation on Metals".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 22
Special Issue Editor
Interests: sheet metal forming; material parameters’ identification; inverse analysis; optimization; metamodeling; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Machine intelligence is increasingly making its mark on mechanical engineering, driven by the growing availability of datasets and advancements in computer performance. There is growing interest in exploring the use of data-driven decision-making applications in various forming processes, including detecting and predicting forming defects; identifying material parameters; modeling materials; selecting processes; and optimizing process designs. This Special Issue aims to highlight the latest applications of machine intelligence in forming processes. We welcome submissions of full papers, reviews, and communications addressing these topics and related areas.
Dr. Pedro Prates
Guest Editor
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
- forming processes
- machine intelligence
- artificial intelligence
- machine learning
- data-driven
- decision-support tools
- modeling
- simulation
- optimisation
