Numerical Modelling of Metal-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: 30 April 2025 | Viewed by 400
Special Issue Editors
Interests: metal forming; joining processes; additive manufacturing
Special Issues, Collections and Topics in MDPI journals
Interests: metal forming; hybrid manufacturing; experimentation
Special Issues, Collections and Topics in MDPI journals
Interests: metal forming; formability; non-conventional machining
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Metal forming is a widespread manufacturing technology used to shape metal workpieces into components with added value through plastic deformation. Historically, processes such as forging, rolling, extrusion, or stamping have been crucial in various industries with technological development primarily driven by trial-and-error experimentation. However, the current need to reduce production costs, conserve materials, minimize waste, and adhere to stringent environmental regulations makes trial-and-error development unsustainable.
This is where numerical modelling has emerged as a powerful alternative. By simulating metal-forming processes using computational techniques, numerical modelling provides a more efficient, cost-effective, and environmentally friendly approach for process optimization, while also driving innovation in material design, tooling, and process mechanisms, contributing to significant advancements in the field of metalworking and manufacturing.
This Special Issue aims to provide novel contributions to the field of metal forming with emphasis on numerical modelling. This Special Issue will include original research articles; however, state-of-the-art reviews are also welcome.
Research areas may include (but are not limited to) the following:
- Finite element analysis of metal-forming processes;
- New material constitutive models;
- Thermo-mechanical coupling involving heat generation and/or phase transformation;
- Friction and contact modelling;
- Multiscale modelling;
- Formability analysis for predicting defects;
- Simulation of hybrid processes involving additive manufacturing or joining processes;
- Mesh-free or adaptive meshing methods;
- Use of artificial intelligence and machine learning in metal forming.
We look forward to receiving your contributions.
Dr. João Pedro da Fonseca Matos Pragana
Dr. Carlos Alves da Silva
Dr. Ivo Manuel Ferreira de Bragança
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 forming
- numerical modelling
- material constitutive models
- thermo-mechanical coupling
- friction
- multiscale modeling
- forming limit diagrams
- hybrid manufacturing
- artificial intelligence
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