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Metals
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Computational Methods in Metallic Materials Manufacturing Processes
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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: closed (30 July 2024) | Viewed by 5563

Special Issue Editors

Dr. Miha Kovačič

E-Mail Website
Guest Editor
1. Štore Steel d.o.o., Štore, Slovenia
2. Faculty of Mechanical Engineering, University of Ljubljana, Ljubljana, Slovenia
Interests: optimization; modeling; applied artificial intelligence; evolutionary computation; genetic algorithm; genetic programming
Special Issues, Collections and Topics in MDPI journals
Prof. 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 metallic materials manufacturing processes causes significant difficulties in their optimization, modeling and control. The most innovative way to modernize these manufacturing processes is to introduce advanced computational methods. Emerging technologies such as machine learning, artificial intelligence, cloud computing, the Internet of Things and cognitive systems have the potential to transform metallic materials manufacturing processes to a  more efficient level.

This Special Issue of Metals will cover recent advances in the modeling, optimization and control of different subprocesses in metallic materials manufacturing from casting, rolling, heat treating, machining, product delivery and quality assurance, while considering the most recent experimentally obtained process data. Practical applications are especially welcome, and research with results from the industrial environment is desirable.

Dr. Miha Kovačič
Dr. Uroš Župerl
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

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

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Published Papers (4 papers)

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Research

12 pages, 3407 KiB  
Article
First-Principle Study on Tailoring the Martensitic Transformation of B2 Nb50−xTixRu50 Shape-Memory Alloy for Structural Applications
by Duduzile Nkomo, Yu-Nien Shen, Roelf Mostert, Yoko Yamabe-Mitarai and Maje Phasha
Metals 2024, 14(9), 976; https://doi.org/10.3390/met14090976 - 28 Aug 2024
Viewed by 494
Abstract
NbRu has a potential as a high-temperature shape-memory alloy (HTSMA) because it has a martensitic transformation temperature above 1000 °C. However, its shape-memory properties could be improved for consideration in the aerospace and automotive industry. The unsatisfactory shape-memory properties could be associated with [...] Read more.
NbRu has a potential as a high-temperature shape-memory alloy (HTSMA) because it has a martensitic transformation temperature above 1000 °C. However, its shape-memory properties could be improved for consideration in the aerospace and automotive industry. The unsatisfactory shape-memory properties could be associated with the presence of a brittle tetragonal L10 martensitic phase. Therefore, in an attempt to modify the transformation path from B2→L10 in preference of either B2→orthorhombic or B2→monoclinic (MCL), an addition of B2 phase stabiliser, titanium (Ti), has been considered in this study to partially substitute niobium (Nb) atoms. The ab initio calculations have been conducted to investigate the effect of Ti addition on the thermodynamic, elastic, and electronic properties of the Nb50−xTixRu50 in B2 and L10 phases. The results showed that the B2 and L10 phases had comparable stability with increasing Ti content. The simulated data presented here was sufficient for the selection of suitable compositions that would allow the L10 phase to be engineered out. The said composition was identified within 15–30 at.% Ti. These compositions have a potential to be considered when designing alloys for structural application at high temperatures above 200 °C. Full article
(This article belongs to the Special Issue Computational Methods in Metallic Materials Manufacturing Processes)
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13 pages, 1714 KiB  
Article
Optimization of Billet Cooling after Continuous Casting Using Genetic Programming—Industrial Study
by Miha Kovačič, Aljaž Zupanc, Robert Vertnik and Uroš Župerl
Metals 2024, 14(7), 819; https://doi.org/10.3390/met14070819 - 16 Jul 2024
Viewed by 821
Abstract
ŠTORE STEEL Ltd. is one of the three steel plants in Slovenia. Continuous cast 180 mm × 180 mm billets can undergo cooling to room temperature using a turnover cooling bed. They can also be cooled down under hoods or heat treated to [...] Read more.
ŠTORE STEEL Ltd. is one of the three steel plants in Slovenia. Continuous cast 180 mm × 180 mm billets can undergo cooling to room temperature using a turnover cooling bed. They can also be cooled down under hoods or heat treated to reduce residual stresses. Additional operations of heat treatment from 36 h up to 72 h and cooling of the billets for 24 h, with limited capacities (with only two heat treatment furnaces and only six hoods), drastically influence productivity. Accordingly, the casting must be carefully planned (i.e., the main thing is casting in sequences), while the internal quality of the billets (i.e., the occurrence of inner defects) may be compromised. Also, the stock of billets can increase dramatically. As a result, it was necessary to consider the abandoning of cooling under hoods and heat treatment of billets. Based on the collected scrap data after ultrasonic examination of rolled bars, linear regression and genetic programming were used for prediction of the occurrence of inner defects. Based on modeling results, cooling under hoods and heat treatment of billets were abandoned at the casting of several steel grades. Accordingly, the casting sequences increased, and the stock of billets decreased drastically while the internal quality of the rolled bars remained the same. Full article
(This article belongs to the Special Issue Computational Methods in Metallic Materials Manufacturing Processes)
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11 pages, 3047 KiB  
Article
First-Principles Computation of Microscopic Mechanical Properties and Atomic Migration Behavior for Al4Si Aluminum Alloy
by Jingtao Huang, Jingteng Xue, Mingwei Li, Yuan Cheng, Zhonghong Lai, Jin Hu, Fei Zhou, Nan Qu, Yong Liu and Jingchuan Zhu
Metals 2023, 13(9), 1622; https://doi.org/10.3390/met13091622 - 20 Sep 2023
Cited by 1 | Viewed by 1288
Abstract
In this paper, the interfacial behavior and the atom diffusion behavior of an Al4Si alloy were systematically investigated by means of first-principles calculations. The K-points and cutoff energy of the computational system were determined by convergence tests, and the surface energies [...] Read more.
In this paper, the interfacial behavior and the atom diffusion behavior of an Al4Si alloy were systematically investigated by means of first-principles calculations. The K-points and cutoff energy of the computational system were determined by convergence tests, and the surface energies for five different surfaces of Al4Si alloys were investigated. Among the five surfaces investigated for Al4Si, it was found that the (111) surface was the surface with the lowest surface energy. Subsequently, we investigated the interfacial stability of the (111) surface and found that there were two types of interfaces, the Al/Al interface and the Al/Si interface. The fracture energies and theoretical strengths of the two interfaces were calculated; the results show that the Al/Al interface had the highest interfacial strength, and the calculation of their electronic results explained the above phenomenon. Subsequently, we investigated the diffusion and migration behavior of Si atoms in the alloy system, mainly in the form of vacancies. We considered the diffusion of Si atoms in vacancies of Al and Si atoms, respectively; the results showed that Si atoms are more susceptible to diffusive migration to Al atomic vacancies than to Si atomic vacancies. The results of the calculations on the micromechanics of aluminum alloys, as well as the diffusion migration behavior, provide a theoretical basis for the further development of new aluminum alloys. Full article
(This article belongs to the Special Issue Computational Methods in Metallic Materials Manufacturing Processes)
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18 pages, 6550 KiB  
Article
Application of Optimizing Slab Corner Shapes to Reduce Edge Seam Defect on Heavy Plates
by Minglin Wang, Hui Zhang, Wenbo Zhao, Heping Liu and Xuebing Wang
Metals 2022, 12(11), 1984; https://doi.org/10.3390/met12111984 - 19 Nov 2022
Viewed by 2070
Abstract
The edge seam defect is a common defect in hot rolling heavy plates. It can be improved by optimizing the corner shapes of slabs. Based on a numerical analysis of the effects of the slab corner shape on the temperature distribution after the [...] Read more.
The edge seam defect is a common defect in hot rolling heavy plates. It can be improved by optimizing the corner shapes of slabs. Based on a numerical analysis of the effects of the slab corner shape on the temperature distribution after the slab’s exit from the heating furnace, three rolling methods are proposed for controlling the two-chamfered slab corner shape. The stress and deformation of the corner of the slab during the two-chamfered rolling process are investigated using a numerical simulation. The results show that a two-chamfered shape slab has the smallest temperature drop during the cooling process, and the slab corner can maintain higher temperature and uniformity, which is beneficial for controlling the deformation during the rolling process. Among the three kinds of two-chamfered rolling methods, frontal rolling using a two-roller has the smallest rolling force and rolling resistance to the casting machine, followed by horizontal rolling and then vertical rolling, which has the largest. The favorable slab corner in a two-chamfered shape can be obtained by frontal rolling using a two-roller. Industrial trials confirm that an edge seam defect rate of less than 5% in heavy plates can be achieved under the condition of a large broadside ratio. Full article
(This article belongs to the Special Issue Computational Methods in Metallic Materials Manufacturing Processes)
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