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 9962

Special Issue Editors


E-Mail Website
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
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
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 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

Published Papers (3 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

9 pages, 3064 KiB  
Article
Dislocation Dynamics Model to Simulate Motion of Dislocation Loops in Metallic Materials
by Xinze Tan, Enhui Tan and Lizhi Sun
Metals 2022, 12(11), 1804; https://doi.org/10.3390/met12111804 - 24 Oct 2022
Viewed by 1284
Abstract
Dislocation dynamics has been an intensive research subject in materials science and engineering due to the significant roles it plays in plastic deformation and the hardening of metals, fracture mechanics, and the fabrication of semiconductor thin films. However, a long-standing problem from the [...] Read more.
Dislocation dynamics has been an intensive research subject in materials science and engineering due to the significant roles it plays in plastic deformation and the hardening of metals, fracture mechanics, and the fabrication of semiconductor thin films. However, a long-standing problem from the three-dimensional dislocation dynamics is that the motion and interaction of dislocation loops heavily depend on the loop-segment sizes, which substantially reduces the accuracy of simulation. We herein propose a new three-dimensional dislocation dynamics model together with its physical background. The proposed model incorporates the inherent interactions among differential dislocation segments. The simulation results on motion of Frank–Read sources demonstrate that the proposed model can resolve the paradoxical segment-dependent phenomenon in dislocation dynamics. Full article
(This article belongs to the Special Issue Computer Methods in Metallic Materials)
Show Figures

Figure 1

15 pages, 4480 KiB  
Article
Phase-Field Simulation of Spinodal Decomposition in Mn-Cu Alloys
by Darío A. Sigala-García, Víctor M. López-Hirata, Maribel L. Saucedo-Muñoz, Héctor J. Dorantes-Rosales and José D. Villegas-Cárdenas
Metals 2022, 12(7), 1220; https://doi.org/10.3390/met12071220 - 19 Jul 2022
Cited by 2 | Viewed by 2913
Abstract
The spinodal decomposition was studied in the aged Mn-40 at. %Cu, Mn-30 at. %Cu, Mn-20 at. %Cu alloys using a phase-field model based on the Cahn–Hillard equation, considering a subregular solution model and the energy contribution of the magnetic behavior. The simulations were [...] Read more.
The spinodal decomposition was studied in the aged Mn-40 at. %Cu, Mn-30 at. %Cu, Mn-20 at. %Cu alloys using a phase-field model based on the Cahn–Hillard equation, considering a subregular solution model and the energy contribution of the magnetic behavior. The simulations were performed at aging temperatures of 300, 400, and 500 °C for times from 1 to 240 min. The growth kinetics of the Mn concentration profiles with time indicated clearly that the phase decomposition of the supersaturated solid solution γ into a mixture of Mn-rich γ′ and Cu-rich γ phases occurred by the spinodal decomposition mechanism. Moreover, the phase decomposition at the early stages of aging exhibited the characteristic morphology of spinodal decomposition, an interconnected and percolated microstructure of the decomposed phases. The most rapid growth kinetics of spinodal decomposition occurred for the aging of Mn-20 and 30 at. %Cu alloys because of the higher driving force. The presence of the phase decomposition is responsible for the increase in hardness, as well as the improvement of the damping capacity of Mn-Cu alloys. Full article
(This article belongs to the Special Issue Computer Methods in Metallic Materials)
Show Figures

Figure 1

20 pages, 631 KiB  
Article
A Review of Signal Processing Techniques for Ultrasonic Guided Wave Testing
by Ana Rita Diogo, Bruno Moreira, Carlos A. J. Gouveia and João Manuel R. S. Tavares
Metals 2022, 12(6), 936; https://doi.org/10.3390/met12060936 - 29 May 2022
Cited by 16 | Viewed by 5011
Abstract
Ultrasonic guided wave testing (UGWT) is a non-destructive testing (NDT) technique commonly used in structural health monitoring to perform wide-range inspection from a single point, thus reducing the time and effort required for NDT. However, the multi-modal and dispersive nature of guided waves [...] Read more.
Ultrasonic guided wave testing (UGWT) is a non-destructive testing (NDT) technique commonly used in structural health monitoring to perform wide-range inspection from a single point, thus reducing the time and effort required for NDT. However, the multi-modal and dispersive nature of guided waves makes the extraction of essential information that leads to defect detection an extremely challenging task. The purpose of this article is to give an overview of signal processing techniques used for filtering signals, isolating modes and identifying and localising defects in UGWT. The techniques are summarised and grouped according to the geometry of the studied structures. Although the reviewed techniques have led to satisfactory results, the identification of defects through signal processing remains challenging with space for improvement, particularly by combining signal processing techniques and integrating machine learning algorithms. Full article
(This article belongs to the Special Issue Computer Methods in Metallic Materials)
Show Figures

Figure 1

Back to TopTop