Computer Methods in Metallic Materials
A special issue of Metals (ISSN 2075-4701). This special issue belongs to the section "Computation and Simulation on Metals".
Deadline for manuscript submissions: closed (31 July 2022) | Viewed by 13474
Special Issue Editors
Interests: artificial intelligence; data mining; machine learning; pattern recognition; simulation; intelligent transport systems
Special Issues, Collections and Topics in MDPI journals
Interests: structural adhesives; high strain rates; aging; fatigue; mechanical project; numerical simulation; structural analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The permanent development of computer methods is of great interest in the field of metallic materials, as its integration supports the increasing necessity to solve complex problems in numerical modelling involving physical phenomena. Numerous innovative techniques dedicated to the description or prediction of metallic materials’ behavior have been developed. The application of multiscale analysis (macro, micro, and nano) in the numerical simulation of intricate material dynamics phenomena has become available and effective. Moreover, advances in new methods and techniques regarding numerical simulations are of great importance to understand and adapt the development of metallic materials. Numerical tools can also be integrated in the field of material database and design, and fractographic classification through computer vision or manufacturing processes.
The aim of this Special Issue “Computer Methods in Metallic Materials” is to disseminate numerical advances which have been achieved through the development and integration of new software, numerical models, and simulation techniques. Other areas of interest are related to data processing and machine learning models, or non-destructive testing (NDT) techniques. Such development of computer methods allows the exploration and introduction of new areas of study within metallic materials, such as metal forming, casting, nanotechnology, additive manufacturing processes of metals, as well as optoelectronic, magnetic, electronic and imaging technologies.
We are pleased to invite researchers, manufacturers, and end users to contribute to this Special Issue, which also welcomes review and perspective manuscripts.
Possible topics include, but are not limited to:
- Artificial intelligence, big data, machine learning, and optimization techniques;
- Computational methods, numerical model development, and simulation;
- Computational techniques for modelling in control;
- Computer methods for metallic materials development;
- Computer methods for microstructural characterization;
- Computer methods for non-destructive testing:
- Image processing and analysis;
- Numerical modelling and image analysis of microstructural evolution;
- Pattern recognition and classification;
- Software development for metallic materials.
Prof. Dr. João Manuel R. S. Tavares
Prof. Dr. José Machado
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
- computer methods
- computer model prediction
- numerical simulation
- software development
- computer-aided materials design
- materials characterization
- NDT techniques
- machine learning
- computer and visualization technology
- manufacturing simulation of metals
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