Application of Computers in Metallic Material Engineering

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 (30 June 2022) | Viewed by 2121

Special Issue Editors


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Guest Editor
Faculdade de Engenharia, Universidade do Porto, 4099-002 Porto, Portugal
Interests: artificial intelligence; data mining; machine learning; pattern recognition; simulation; intelligent transport systems
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Guest Editor
Departamento de Engenharia Mecânica, Faculdade de Engenharia, Universidade do Porto, Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal
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 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 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 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

Published Papers (1 paper)

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Research

15 pages, 7955 KiB  
Article
Simulation on the Direct Powder Rolling Process of Cu Powder by Drucker–Prager/Cap Model and Its Experimental Verification
by Chen Zhang, Lei Jia, Hui Xie, Ruifeng Niu, Zhenlin Lu and Katsuyoshi Kondoh
Metals 2022, 12(7), 1145; https://doi.org/10.3390/met12071145 - 05 Jul 2022
Cited by 1 | Viewed by 1453
Abstract
For better clarifying the influence of processing factors on the forming quality of the direct powder rolling (DPR) process, finite element simulation based on the modified Drucker–Prager/Cap (DPC) model was established and the key physical parameters of the powder were confirmed by experimental [...] Read more.
For better clarifying the influence of processing factors on the forming quality of the direct powder rolling (DPR) process, finite element simulation based on the modified Drucker–Prager/Cap (DPC) model was established and the key physical parameters of the powder were confirmed by experimental measurements. Subsequently, the effect of the main factors in the DPR process, viz., powder gradation, rolling speed and rolling gap, on the density and morphology of a green sheet were discussed by using an orthogonal experiment design followed by experimental verification. The influence of DPR parameters on the density of the green sheet is examined by a range analysis, which can reflect the sensitivity of influencing factors to the forming quality of the green sheet. The larger the range value is, the more sensitive the influencing factor is. This suggests that the quality of the green sheet is mainly influenced by particle gradation. The results show that the density of the resulting DPR green sheet with optimal parameters is mainly 7.5~8.0 g/cm3, reaches 80% of the theoretical density, and the mechanical strength can also afford the transferring process of the green sheet for the next sintering craft. The methods for modeling, obtaining physical parameters and the numerical simulation results can be used to guide rapid formation of the metal sheet by using direct powder rolling craft. Full article
(This article belongs to the Special Issue Application of Computers in Metallic Material Engineering)
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