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Metals
Special Issues
Constitutive Modeling of Metallic Materials
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Constitutive Modeling of 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 December 2021) | Viewed by 5030

Special Issue Editors

Prof. Dr. Hyoung Seop Kim

E-Mail Website
Guest Editor
Department of Materials Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Korea
Interests: mechanics of materials; multiscale constitutive modeling; finite element analyses; nanostructured materials; severe plastic deformation; high-entropy alloy; metal additive manufacturing; architectured materials; heterostructured materials
Special Issues, Collections and Topics in MDPI journals
Dr. Jaimyun Jung

E-Mail Website
Guest Editor
Korea Institute of Materials Science (KIMS), Changwon, Korea
Interests: constitutive modeling; integrated computational materials engineering; modeling and simulation for structural materials; artificial intelligence

Special Issue Information

Dear Colleagues,

Modeling and simulation to predict the behavior of metallic materials play a central role in fast and cost-effective development of materials. Behind these means to predict the behavior of the materials are constitutive models. In particular, constitutive models that describe the mechanical responses of metallic structural materials, involving deformation and plasticity, have been the subject of intense research due to wide ranging engineering applications, such as in automotive, aerospace, military, and energy industries. Moreover, with the recent surge of interest in artificial intelligence, there has been significant progress in methods of enhancing the performance of constitutive models by identifying and calibrating constitutive model parameters, as well as quantifying and handling uncertainties, in constitutive models.

In this Special Issue, we invite a wide range of articles that relate to constitutive models. We welcome reviews and articles that focus on novel constitutive models, applications of existing constitutive models, and methods that enhance the performance of constitutive models.

Prof. Dr. Hyoung Seop Kim
Dr. Jaimyun Jung
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

  • Anisotropic yield criteria and hardening
  • Constitutive modeling and experimental validation
  • Conventional and innovative numerical simulation techniques
  • Application and verification of numerical method to obtain constitutive model parameters
  • Quantification of constitutive model uncertainty
  • Damage initiation and evolution
  • Industrial applications, forming, and springback
  • Multi-scale computational models and their implementation

Published Papers (2 papers)

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Research

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15 pages, 6358 KiB  
Article
Parameter Identification of the Yoshida-Uemori Hardening Model for Remanufacturing
by Xuhui Xia, Mingjian Gong, Tong Wang, Yubo Liu, Huan Zhang and Zelin Zhang
Metals 2021, 11(11), 1859; https://doi.org/10.3390/met11111859 - 18 Nov 2021
Cited by 4 | Viewed by 1873
Abstract
The deformation of plastics during production and service means that retired parts often possess different mechanical states, and this can directly affect not only the properties of remanufactured mechanical parts, but also the design of the remanufacturing process itself. In this paper, we [...] Read more.
The deformation of plastics during production and service means that retired parts often possess different mechanical states, and this can directly affect not only the properties of remanufactured mechanical parts, but also the design of the remanufacturing process itself. In this paper, we describe the stress-strain relationship for remanufacturing, in particular the cyclic deformation of parts, by using the particle swarm optimization (PSO) method to acquire the Yoshida-Uemori (Y-U) hardening model parameters. To achieve this, tension-compression experimental data of AA7075-O, standard PSO, oscillating second-order PSO (OS-PSO) and variable weight PSO (VW-PSO) were acquired separately. The influence of particle numbers on the inverse analysis efficiency was studied based on standard PSO. Comparing the results of PSO variations showed that: (1) standard PSO is able to avoid local solutions and obtain Y-U model parameters to the same degree of precision as the OS-PSO; (2) by adjusting section weight, the VW-PSO could improve local fitting accuracy and adapt to asymmetric deformation; (3) by reducing particle numbers to a certain extent, the efficiency of analysis can be improved while also maintaining accuracy. Full article
(This article belongs to the Special Issue Constitutive Modeling of Metallic Materials)
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Review

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15 pages, 4399 KiB  
Review
Understanding the Radiation Resistance Mechanisms of Nanocrystalline Metals from Atomistic Simulation
by Liang Zhang
Metals 2021, 11(11), 1875; https://doi.org/10.3390/met11111875 - 22 Nov 2021
Cited by 3 | Viewed by 2370
Abstract
Metallic materials produce various structural defects in the radiation environment, resulting in serious degradation of material properties. An important way to improve the radiation-resistant ability of materials is to give the microstructure of materials a self-healing ability, to eliminate the structural defects. The [...] Read more.
Metallic materials produce various structural defects in the radiation environment, resulting in serious degradation of material properties. An important way to improve the radiation-resistant ability of materials is to give the microstructure of materials a self-healing ability, to eliminate the structural defects. The research and development of new radiation-resistant materials with excellent self-healing ability, based on defects control, is one of the hot topics in materials science. Compared with conventional coarse-grained materials, nanocrystalline metals with a high density of grain boundary (GB) show a higher ability to resist radiation damage. However, the mechanism of GB’s absorption of structural defects under radiation is still unclear, and how to take advantage of the GB properties to improve the radiation resistance of metallic materials remains to be further investigated. In recent decades, atomistic simulation has been widely used to study the radiation responses of different metals and their underlying mechanisms. This paper briefly reviews the progress in studying radiation resistance mechanisms of nanocrystalline metals by employing computational simulation at the atomic scale. Full article
(This article belongs to the Special Issue Constitutive Modeling of Metallic Materials)
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