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Metals
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Applications of Computational Methods in Metallic Materials Manufacturing Processes
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Applications of Computational Methods in Metallic Materials Manufacturing 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: 31 August 2026 | Viewed by 846

Editor

Dr. Uroš Župerl

E-Mail Website
Guest Editor
Faculty of Mechanical Engineering, University of Maribor, 2000 Maribor, Slovenia
Interests: control systems; cyber-physical systems; machining; optimization; modeling; applied artificial intelligence
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The increasing complexity of manufacturing processes for metallic materials is leading to significant difficulties with regard to optimization, modeling, and control. The most innovative way to modernize these manufacturing processes is by introducing advanced computational methods. Emerging technologies such as machine learning, artificial intelligence, cloud computing, the Internet of Things, and cognitive systems have the potential to elevate manufacturing processes for metallic materials to a higher level of efficiency.

This Special Issue of Metals will cover recent advances in the modeling, optimization, and control of different subprocesses in metallic material manufacturing, including casting, rolling, heat treatment, machining, product delivery, and quality assurance, while considering the most recent processing data derived from experimental results. Practical applications are especially welcome, and research featuring results obtained in an industrial environment is encouraged.

Dr. Uroš Župerl
Guest Editor

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-anonymized 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

  • metallic materials
  • manufacturing
  • metallurgy
  • machining
  • modeling
  • optimization and control
  • computational methods
  • cost reduction
  • quality of products
  • industrial case studies

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

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Research

15 pages, 1858 KB  
Article
Comparison of FE Modeling Approaches for the Prediction of Cutting Forces and Chip Morphology During Turning of Ti-6Al-4V ELI Alloy
by Nikolaos E. Karkalos, Nikolaos A. Fountas and Nikolaos M. Vaxevanidis
Metals 2026, 16(6), 677; https://doi.org/10.3390/met16060677 - 19 Jun 2026
Viewed by 278
Abstract
The significant challenges of machining hard-to-cut materials pose an important problem for the manufacturing industries, as it can lead to increased tool wear, higher machining costs, and reduced productivity. Apart from experimental investigations, which are rather expensive and cannot always provide a comprehensive [...] Read more.
The significant challenges of machining hard-to-cut materials pose an important problem for the manufacturing industries, as it can lead to increased tool wear, higher machining costs, and reduced productivity. Apart from experimental investigations, which are rather expensive and cannot always provide a comprehensive view of the process outcome due to limitations in measurement techniques, it is possible to use validated models to predict the temperature and stress state of the workpieces or test the effect of different process conditions. Although many Finite Element (FE) models have been developed for the turning process, usually accurate representation of the machining setup with a realistic 3D geometry for both cutting tool and workpiece is not taken into account. Thus, in this work, two different representations of the machining setup, including curved workpiece geometry, which is more rarely studied, are compared for the case of Ti-6Al-4V ELI turning under various conditions, and their effect on the accuracy of the prediction of the cutting force and chip morphology is investigated. It was found that the model with the straight workpiece overpredicts the cutting force to a higher extent compared to the model with the curved workpiece and also predicts a much higher workpiece temperature, whereas chip morphology was mainly affected by feed rate. No noticeable differences were observed between the two models. These results indicate that in most cases, the use of geometry with curved workpiece is more suitable for better prediction of the cutting forces. Full article
(This article belongs to the Special Issue Applications of Computational Methods in Metallic Materials Manufacturing Processes)
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12 pages, 20109 KB  
Article
A Numerical Assessment on the Textural Stability of {112}<111> After Asymmetric Accumulative Roll-Bonding (AARB)
by Rui Wang, Xuhui Bai, Lihong Su, Guangyang Jiang, Yu Sun, Yu Liu, Yu Zhu and Xi Huang
Metals 2026, 16(6), 576; https://doi.org/10.3390/met16060576 - 25 May 2026
Viewed by 213
Abstract
In this study, the stability of the {112}<111> rolling texture component during asymmetric accumulative roll-bonding (AARB) was systematically investigated using a crystal plasticity finite element method (CPFEM) model. The CPFEM predictions showed that the plastic deformation was inhomogeneous along the thickness for all [...] Read more.
In this study, the stability of the {112}<111> rolling texture component during asymmetric accumulative roll-bonding (AARB) was systematically investigated using a crystal plasticity finite element method (CPFEM) model. The CPFEM predictions showed that the plastic deformation was inhomogeneous along the thickness for all five asymmetric ratios (1.0, 1.2, 1.5, 0.83, and 0.66). To characterize the plastic deformation and texture evolution, through-thickness shear strain, slip-system shear strain, crystal rotation behaviour, pole figures, and the retained area fraction of the {1 1 2}<1 1 1> texture component were analyzed. It was found that the asymmetric ratio, surface friction, and cutting-stacking pattern in AARB played a critical role in the preservation of initial {1 1 2}<1 1 1>. Full article
(This article belongs to the Special Issue Applications of Computational Methods in Metallic Materials Manufacturing Processes)
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