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Special Issue "Multiscale Characterization and Computational Modeling/Simulation of Metallic Materials"

A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Materials Physics".

Deadline for manuscript submissions: 31 December 2023 | Viewed by 1028

Special Issue Editors

College of Chemical Engineering, Fuzhou University, Fuzhou 350108, China
Interests: mechanics of materials; hydrogen embrittlement; ammonia corrosion and protection; atomistic simulation; computational materials; multiscale characterization
College of Materials Science and Engineering, Chongqing University, Chongqing 400044, China
Interests: computational materials; atomistic simulation; metals and alloys; nanomaterials; mechanics of materials; strength and ductility; grain boundary; dislocation
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School of Mechanical Engineering, Nantong University, Nantong 226019, China
Interests: severe plastic deformation; surface treatment; fatigue and creep; welding; strength and ductility; crystalline orientation and dislocation
School of Mechanical, Materials, Mechatronic and Biomedical Engineering, University of Wollongong, NSW 2522, Australia
Interests: microstructure characterization; crystal plasticity modeling; finite element method; advanced manufacturing
School of Mechanical Engineering, The University of Melbourne, Parkville, VIC 3010, Australia
Interests: molecular dynamics simulations; cold spray; additive manufacturing; graphene; mechanical properties; deformation behavior; nanoindentation

Special Issue Information

Dear Colleagues,

Metallic materials have been used in space, transportation, energy production, industry, and other fields. The application potential of engineering materials depends on their properties for the considered use. To deepen the understanding of the relationships between the structure, properties, or functions of materials, multiscale experimental techniques have been developed, including advanced macro-mechanical testing such as tensile, compressive, fatigue, impact, and creep loadings, as well as microstructural characterization, such as optical microscopy, scanning electron microscopy, transmission electron microscopy, X-ray diffraction, electron backscatter diffraction, electron probe microanalysis, and other advanced analytical techniques. In addition, nano and atomistic approaches, including density functional theory modeling, first-principles modeling, cohesive zone modeling, molecular dynamics simulation and Monte Carlo simulation, and finite element simulation, have also been developed to probe the fundamental deformation mechanisms of materials.

This Special Issue aims to cover recent advances and developments in the multiscale characterization and computational modeling/simulation of metallic materials. This issue will collect quality papers providing a sound base in the field for present and future scientists dealing with the enhancement of metallic materials properties for specific high-end applications.

Dr. Jiaqing Li
Dr. Liang Zhang
Dr. Yu Liu
Dr. Rui Wang
Dr. Che Zhang
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. Materials is an international peer-reviewed open access semimonthly 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 2300 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

  • mechanical property
  • microstructural analysis
  • multiscale characterization
  • nano and atomistic approach
  • metals and alloys
  • plastic deformation and fracture
  • advanced manufacturing
  • modeling and simulation
  • hydrogen-related property and mechanism
  • cold spray

Published Papers (2 papers)

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Research

Article
Prediction of Tool Eccentricity Effects on the Mechanical Properties of Friction Stir Welded AA5754-H24 Aluminum Alloy Using ANN Model
Materials 2023, 16(10), 3777; https://doi.org/10.3390/ma16103777 - 17 May 2023
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Abstract
The current study uses three different pin eccentricities (e) and six different welding speeds to investigate the impact of pin eccentricity on friction stir welding (FSW) of AA5754-H24. To simulate and forecast the impact of (e) and welding speed on the mechanical properties [...] Read more.
The current study uses three different pin eccentricities (e) and six different welding speeds to investigate the impact of pin eccentricity on friction stir welding (FSW) of AA5754-H24. To simulate and forecast the impact of (e) and welding speed on the mechanical properties of friction stir welded joints for (FSWed) AA5754-H24, an artificial neural network (ANN) model was developed. The input parameters for the model in this work are welding speed (WS) and tool pin eccentricity (e). The outputs of the developed ANN model include the mechanical properties of FSW AA5754-H24 (ultimate tensile strength, elongation, hardness of the thermomechanically affected zone (TMAZ), and hardness of the weld nugget zone (NG)). The ANN model yielded a satisfactory performance. The model has been used to predict the mechanical properties of the FSW AA5754 aluminum alloy as a function of TPE and WS with excellent reliability. Experimentally, the tensile strength is increased by increasing both the (e) and the speed, which was already captured from the ANN predictions. The R2 values are higher than 0.97 for all the predictions, reflecting the output quality. Full article
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Article
A Multilevel Physically Based Model of Recrystallization: Analysis of the Influence of Subgrain Coalescence at Grain Boundaries on the Formation of Recrystallization Nuclei in Metals
Materials 2023, 16(7), 2810; https://doi.org/10.3390/ma16072810 - 31 Mar 2023
Viewed by 506
Abstract
This paper considers the influence of subgrain coalescence at initial high-angle boundaries on the initiation and growth of recrystallization nuclei (subgrains) under thermomechanical treatment. With certain processing regimes, adjacent subgrains in polycrystalline materials can be assembled into clusters during coalescence. Subgrain clusters at [...] Read more.
This paper considers the influence of subgrain coalescence at initial high-angle boundaries on the initiation and growth of recrystallization nuclei (subgrains) under thermomechanical treatment. With certain processing regimes, adjacent subgrains in polycrystalline materials can be assembled into clusters during coalescence. Subgrain clusters at high-angle boundaries are the preferred potential nuclei of recrystallization. Coalescence is one of the dynamic recovery mechanisms, a competing process to recrystallization. When intensive coalescence develops on both sides of the grain boundary, recrystallization slows down or even stops. The problem formulated is solved using a multilevel modeling apparatus with internal variables. Application of the statistical multilevel model modified to take into account the local interaction between crystallites makes it possible to explicitly describe dynamic recrystallization and recovery. The results of modeling the behavior of a copper sample are presented and the effects of temperature, deformation velocity and subgrain structure on the formation and growth of recrystallization nuclei at arbitrary and special grain boundaries during coalescence are analyzed. Full article
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