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Metals
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Hot Deformation of Metal and Alloys
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Hot Deformation of Metal and Alloys

A special issue of Metals (ISSN 2075-4701). This special issue belongs to the section "Structural Integrity of Metals".

Deadline for manuscript submissions: 30 April 2024 | Viewed by 5060

Special Issue Editor

Dr. Zhanwei Yuan

E-Mail Website
Guest Editor
School of Material Science and Engineering, Chang'an University, Xi'an 710061, Shaanxi, China
Interests: hot deformation of metals; metal matrix composite; 3D print of metals and numerical simulation

Special Issue Information

Dear Colleagues,

Hot working is an important forming method of metal materials, which is related to deformation flow stress, deformation mechanism, dynamic softening mechanism and hot deformation damage. With different high temperatures and strain rates, metal and alloys will have various responses at macroscale, such as flow stress. At the same time, the microstructures evolve with confrontation between hardening mechanism and softening mechanism (dynamic recovery and dynamic recrystallization). Moreover, hot deformation damage is a weakening form that should be avoided. The deep understanding of hot deformation is the basis to guide for optimization of the process and high temperature forming of materials. This Special Issue will discuss the constitutive models, microstructure evolution, plastic deformation, softening mechanism and hot processing map of metals and alloys during hot deformation.

Dr. Zhanwei Yuan
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. 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

  • hot deformation
  • constitutive models
  • microstructure evolution
  • plastic deformation
  • dynamic recrystallization
  • processing map

Published Papers (3 papers)

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Research

20 pages, 12714 KiB  
Article
Artificial Neural Network-Based Critical Conditions for the Dynamic Recrystallization of Medium Carbon Steel and Application
by Pierre Tize Mha, Prashant Dhondapure, Mohammad Jahazi, Amèvi Tongne and Olivier Pantalé
Metals 2023, 13(10), 1746; https://doi.org/10.3390/met13101746 - 15 Oct 2023
Cited by 1 | Viewed by 1048
Abstract
This study presents a novel and thorough approach to comprehending and simulating the DRX process while hot compressing steel. To achieve this goal, we studied the high-temperature deformation behavior of a medium-carbon steel through hot compression testing on a Gleeble-3800 thermomechanical simulator over [...] Read more.
This study presents a novel and thorough approach to comprehending and simulating the DRX process while hot compressing steel. To achieve this goal, we studied the high-temperature deformation behavior of a medium-carbon steel through hot compression testing on a Gleeble-3800 thermomechanical simulator over a broad range of strains, strain rates, and temperatures. We also employed an artificial neural network (ANN) to model the thermo-visco-plastic behavior with a flow law. The precision of quantifying the DRX volume fraction is dependent on critical conditions, which are essential for both analytical model evaluation and numerical implementation in finite element software. This study proposes a second ANN, serving as a universal approximator, to fit the data required for DRX critical condition calculations, whereas the Johnson–Mehl–Avrami–Kohnogorov (JMAK) model served as an analytical tool to estimate the DRX volume fraction, which underwent validation through experimental measurements. A numerical implementation of the JMAK model was conducted in ABAQUS software and compared against experimental data by means of microstructure analysis. The comparison revealed a strong correlation between the simulation and experiment. The study investigated the impact of temperature, strain, and strain rate on DRX evolution. The findings showed that DRX increases with rising temperature and strain but decreases with increasing strain rate. Full article
(This article belongs to the Special Issue Hot Deformation of Metal and Alloys)
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28 pages, 6681 KiB  
Article
Interpolation and Extrapolation Performance Measurement of Analytical and ANN-Based Flow Laws for Hot Deformation Behavior of Medium Carbon Steel
by Pierre Tize Mha, Prashant Dhondapure, Mohammad Jahazi, Amèvi Tongne and Olivier Pantalé
Metals 2023, 13(3), 633; https://doi.org/10.3390/met13030633 - 22 Mar 2023
Cited by 4 | Viewed by 1977
Abstract
In the present work, a critical analysis of the most-commonly used analytical models and recently introduced ANN-based models was performed to evaluate their predictive accuracy within and outside the experimental interval used to generate them. The high-temperature deformation behavior of a medium carbon [...] Read more.
In the present work, a critical analysis of the most-commonly used analytical models and recently introduced ANN-based models was performed to evaluate their predictive accuracy within and outside the experimental interval used to generate them. The high-temperature deformation behavior of a medium carbon steel was studied over a wide range of strains, strain rates, and temperatures using hot compression tests on a Gleeble-3800. The experimental flow curves were modeled using the Johnson–Cook, Modified-Zerilli–Armstrong, Hansel–Spittel, Arrhenius, and PTM models, as well as an ANN model. The mean absolute relative error and root-mean-squared error values were used to quantify the predictive accuracy of the models analyzed. The results indicated that the Johnson–Cook and Modified-Zerilli–Armstrong models had a significant error, while the Hansel–Spittel, PTM, and Arrhenius models were able to predict the behavior of this alloy. The ANN model showed excellent agreement between the predicted and experimental flow curves, with an error of less than 0.62%. To validate the performance, the ability to interpolate and extrapolate the experimental data was also tested. The Hansel–Spittel, PTM, and Arrhenius models showed good interpolation and extrapolation capabilities. However, the ANN model was the most-powerful of all the models. Full article
(This article belongs to the Special Issue Hot Deformation of Metal and Alloys)
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18 pages, 11144 KiB  
Article
Mathematical Modeling on Optimization of Submerged Entry Nozzle for an Ultra-Thick Slab Continuous Casting Mold
by Yanbin Yin, Jiongming Zhang and Pengcheng Xiao
Metals 2023, 13(2), 221; https://doi.org/10.3390/met13020221 - 24 Jan 2023
Viewed by 1298
Abstract
To optimize the submerged entry nozzle (SEN) for an ultra-thick slab mold, a mathematical model has been established. The molten steel flow and solidification, inclusion transports, and meniscus fluctuation have been investigated through the model. Compared with the concave-bottom SEN cases, the convex-bottom [...] Read more.
To optimize the submerged entry nozzle (SEN) for an ultra-thick slab mold, a mathematical model has been established. The molten steel flow and solidification, inclusion transports, and meniscus fluctuation have been investigated through the model. Compared with the concave-bottom SEN cases, the convex-bottom SEN decreases the imping depth of the jet flow and increases the horizontal velocity and temperature on the meniscus. However, the remelting of the solidified shell is dramatic for the convex-bottom case. The well depth of the concave-bottom SEN and the SEN’s submerged depth have little influence on molten steel flow and solidification. The effects of SEN port shape and port angle on the molten steel flow are significant. As the port shape changes from rectangle to square or the port downward angle decreases, the imping depth of jet flow decreases, the horizontal velocity and the temperature on the mold free surface increase. For the ultra-thick mold, a square-shaped-port SEN with a −10° downward angle is more beneficial by comprehensive consideration of molten steel flow and solidification, inclusion removal, and mold powder melting. The optimized SEN has been applied to the actual caster and its performance has been assessed, indicating that the SEN optimization is efficient. Full article
(This article belongs to the Special Issue Hot Deformation of Metal and Alloys)
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