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Application of Computers in Metallic Material Engineering
This special issue belongs to the section “Computation and Simulation on Metals“.
Special Issue Information
Dear Colleagues,
The continuous evolution of computer technology represents a great opportunity for the field of metallic material engineering by dealing with areas such as simulation and control of extremely complex physical phenomena, simulation of the manufacturing or transformation process, material database and design, microstructural analysis, mechanical and structural properties determination, development process of improved (for instance, surface treatments, chemical alteration, or synthesis) or new metallic materials, non-destructive testing (NDT), and quality inspection.
The aim of this Special Issue “Application of Computer in Metallic Material Engineering” is to disseminate technological advances and their applications, which have been achieved through development of new software, numerical models and simulation techniques, simulation techniques focusing the mechanical behavior, data processing and machine learning models, NDT techniques, process optimization as well automatic quality control systems. Such computer-based development allows the exploration and introduction of new areas of study within metallic materials, such nanotechnology, additive manufacturing process of metals, casting and metal forming process, 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;
- Computational methods, numerical models and simulation;
- Computer applications for metallic materials;
- Computer control of manufacturing process and metallic material development;
- Computer microstructural characterization;
- Computer technologies for non-destructive testing:
- Computer technology for development of new metallic materials;
- Development of computer systems for metallic materials manufacturing or transformation processes;
- 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 250 words) can be sent to the Editorial Office for assessment.
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 and Applications
- Computer Model Prediction
- Simulation
- Software Development
- Computer-aided Materials Design
- Materials Characterization
- NDT Techniques
- Machine Learning
- Visualization Technology
- Metal Forming
- Additive Manufacturing of Metals
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