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High Performance and Advanced Crystal Plasticity Methods in Metals and Metallic Alloys

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

Deadline for manuscript submissions: closed (20 January 2024) | Viewed by 1666

Special Issue Editor


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Guest Editor
National Institute of Standards and Technology, Gaithersburg, MD 20899, USA
Interests: crystal plasticity methods; cobalt- based superalloys; nickel-based superalloys

Special Issue Information

Dear Colleagues,

Advanced theoretical and computational crystal plasticity methods in crystalline materials are well-defined means of discovering and analyzing the underlying dislocation mechanisms used to develop constitutive models. Crystal plasticity finite element (CPFE) methods are used to employ some of the extensive knowledge gained from the experimental and theoretical studies of single crystal behaviors, such as plastic deformation and dislocation activities, in order to inform the further development of continuum field theories of deformation. The high performance crystal plasticity frameworks expedite and enhance the efficiency of the computations, which can be utilized in hierarchical multi-scale schemes to bridge length scales to simulate and design metallic alloys for superior mechanical properties.

Enormous progress in these fields has been achieved in recent years, initiating novel theoretical, analytical, and experimental approaches to illuminate prospective paths. In this Special Issue, research, improvements, and ideas in the subsequent fields in metals and metallic alloys are welcomed:

  • Multi-scale crystal plasticity;
  • Artificial intelligence (AI), deep learning, and machine learning in crystal plasticity;
  • Crystal plasticity finite element methods (CPFEM);
  • Visco-plastic self-consistent (VPSC);
  • Size effects and non-local crystal plasticity;
  • Phenomenological and physics-based constitutive models;
  • Modeling in extreme environment;
  • Creep and high temperature behaviors of crystalline materials;
  • Crystal plasticity damage modeling;
  • Microstructure and texture evolution;
  • Phase field simulations;
  • Polycrystalline plasticity modeling;
  • Superalloys behavior analysis;
  • Small and large deformation crystal plasticity;
  • Advanced forming technologies;
  • Designing metallic alloys.

Dr. Shahriyar Keshavarz
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 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 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

  • crystal plasticity
  • multi-scale
  • constitutive model
  • artificial intelligence
  • microstructure
  • size effect
  • forming
  • superalloys
  • non-local CP
  • polycrystalline

Published Papers (2 papers)

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Research

14 pages, 6243 KiB  
Communication
Numerical Study on a Ductile Fracture Model in Pre-Cracked Tension Tests of SUS304L
by Sung-Ju Park, Kangsu Lee, Woongshik Nam, Kookhyun Kim and Byoungjae Park
Materials 2024, 17(2), 276; https://doi.org/10.3390/ma17020276 - 05 Jan 2024
Cited by 1 | Viewed by 517
Abstract
The effectiveness of a ductile fracture model in accurately predicting fracture initiation has been demonstrated. In this study, we concentrate on applying the ductile fracture model to pre-cracked structures constructed from SUS304L stainless steel with experimental and numerical analyses. The Swift hardening law [...] Read more.
The effectiveness of a ductile fracture model in accurately predicting fracture initiation has been demonstrated. In this study, we concentrate on applying the ductile fracture model to pre-cracked structures constructed from SUS304L stainless steel with experimental and numerical analyses. The Swift hardening law was employed to extend the plastic behavior beyond the onset of necking. Additionally, the Hosford–Coulomb model, integrated with a damaged framework, was utilized to predict ductile fracture behavior, particularly under non-proportional loading conditions. Tension tests were conducted on various specimens designed to illustrate various fracture modes resulting from geometric effects. Numerical analyses were conducted to explore the loading histories, utilizing an optimization process to calibrate fracture model parameters. The proposed fracture model is validated against pre-cracked structures detailed in a reference paper. The results convincingly demonstrate that the fracture model effectively predicts both fracture initiation and propagation in pre-cracked structures. Full article
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19 pages, 61877 KiB  
Article
Dynamic Shear Texture Evolution during the Symmetric and Differential Speed Rolling of Al-Si-Mg Alloys Fabricated by Twin Roll Casting
by Jae-Hyung Cho, Geon-Young Lee and Seong-Ho Lee
Materials 2024, 17(1), 179; https://doi.org/10.3390/ma17010179 - 28 Dec 2023
Viewed by 679
Abstract
The effects of a reduction in area (RA) and the speed ratio between the top and bottom rolls on a shear strain and the crystallographic texture evolution of Al-Si-Mg (1.0%Si-0.6%Mg) aluminum alloys fabricated by twin roll casting (TRC) were comprehensively examined experimentally and [...] Read more.
The effects of a reduction in area (RA) and the speed ratio between the top and bottom rolls on a shear strain and the crystallographic texture evolution of Al-Si-Mg (1.0%Si-0.6%Mg) aluminum alloys fabricated by twin roll casting (TRC) were comprehensively examined experimentally and through numerical predictions. Initial twin-roll casted strips had a texture gradient from the surface to the center. 111//ND textures were found in the surface layer, and weak rolling textures existed in the center of the strip. The distributions of shear and plane strain compression (PSC) textures varied with the RA and differential speed ratio. Strong shear textures including a rotated cube, {100}011, were obtained from both the symmetric and differential speed rolling processes. Symmetric rolling with a different reduction in area (SRDRA) produced shear textures mainly in the surface layer. Differential speed rolling (DSR) caused dynamic shear textures along the thickness direction, not limited to the surface. Based on the finite element method and crystal plasticity, the effects of different RA values, differential speed ratios, and friction coefficients on shear strain and texture evolution are discussed in detail. Loads measured from work rolls during DSR decreased with an increase in the speed ratio. Full article
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