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Metals
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Experimental Investigation and Numerical Simulation of the Deformation Behavior of...
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Experimental Investigation and Numerical Simulation of the Deformation Behavior of Steels

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 May 2022) | Viewed by 5066

Special Issue Editor

Prof. Dr. Oscar Balancin

E-Mail Website
Guest Editor
UFSCar – Federal Universidade of São Carlos, São Carlos-SP, Brazil
Interests: Hot deformation of metals and alloys; Physical and numerical simulations of thermomechanical processing; Artificial intelligence applied to hot deformation

Special Issue Information

Dear Colleagues,

Understanding the mechanisms that act during hot deformation is essential to design and optimize thermomechanical processing. Mechanisms such as work hardening, recovery, and recrystallization have been studied and continue to be the subject of research on single-phase and two-phase steels. The influence of deformation conditions on mechanisms can be outlined using processing maps.

Fundamental research is usually conducted by varying one parameter while keeping the others at a constant. However, in actual processing, all parameters may vary simultaneously. Thus, one potential approach is replicating processing in the laboratory scale through physical simulation or by digitalizing the industrial practice via numerical simulation. Both methods are the focus of research and can be used to improve the microstructure and properties of steels.

Recent advances in artificial intelligence engender realistic alternatives for thermomechanical processing analysis using techniques such as artificial neural networks (ANNs) and adaptive neuro-fuzzy inference systems (ANFIs). ANNs can learn from examples and recognize paths in a series of input and output data without any prior knowledge of their nature and interrelations. Artificial intelligence creates space for themes such as the prediction of microstructure evolution and mechanical properties and the analysis and optimization of thermomechanical processing.

This Special Issue will publish works that improve our understanding of deformation under hot working conditions and can contribute to improving industrial practices.

Prof. Dr. Oscar Balancin
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

  • Thermomechanical processing
  • Hot deformation of metals and alloys
  • Hot deformation of two-phase alloys
  • Recrystallization
  • Processing maps
  • Numerical simulation
  • Physical simulation
  • Analysis and optimization of TMP
  • Prediction of microstructure evolution
  • Prediction of mechanical properties

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Published Papers (2 papers)

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Research

22 pages, 9880 KiB  
Article
Development of Hot Working Process Maps for Incompressible TRIP Steel and Zirconia Composites Using Crystal Plasticity-Based Numerical Simulations
by Muhammad Ali, Faisal Qayyum, ShaoChen Tseng, Sergey Guk, Christian Overhagen, ChingKong Chao and Ulrich Prahl
Metals 2022, 12(12), 2174; https://doi.org/10.3390/met12122174 - 16 Dec 2022
Cited by 5 | Viewed by 2227
Abstract
In this study, we developed hot working process maps for incompressible TRIP steel composites with 0%, 5%, 10%, and 20% zirconia particles using crystal plasticity-based numerical simulations. Experimentally recorded material flow curves were used to calibrate material model parameters for TRIP steel and [...] Read more.
In this study, we developed hot working process maps for incompressible TRIP steel composites with 0%, 5%, 10%, and 20% zirconia particles using crystal plasticity-based numerical simulations. Experimentally recorded material flow curves were used to calibrate material model parameters for TRIP steel and zirconia. The fitted material models were used for running the composite simulations. Representative volume elements (RVEs) for composites were generated using the open-source DREAM.3D program. After post-processing, the simulation results were used to calculate global and local stress–strain values at temperatures ranging from 700 to 1200 °C and strain rates ranging from 0.001 to 100 s−1. Local stress–strain maps allow researchers to investigate the effect of zirconia particles on composites, which is difficult to measure experimentally at these high temperatures. On the dynamic material model (DMM), the global results were then used to construct process maps. Because the ability of the simulation model to depict dynamic softening was constrained, the processing maps derived from the simulation data did not depict regions of instability. By running crystal plasticity-based numerical simulations, we reported important findings that might help in building hot working process maps for dual-phase materials. Full article
(This article belongs to the Special Issue Experimental Investigation and Numerical Simulation of the Deformation Behavior of Steels)
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13 pages, 8825 KiB  
Article
Investigation of Hot Deformation Behavior and Microstructure Evolution of Lightweight Fe-35Mn-10Al-1C Steel
by Alexander Yu. Churyumov, Alena A. Kazakova, Andrey V. Pozdniakov, Tatiana A. Churyumova and Alexey S. Prosviryakov
Metals 2022, 12(5), 831; https://doi.org/10.3390/met12050831 - 12 May 2022
Cited by 13 | Viewed by 2231
Abstract
The deformation behavior of lightweight Fe-35Mn-10Al-1C steel with an elevated concentration of Mn was investigated. Hot compression tests at temperatures of 950–1150 °C and strain rates of 0.1–10 s−1 were carried out using the thermomechanical simulator, Gleeble 3800. Strain compensated constitutive model [...] Read more.
The deformation behavior of lightweight Fe-35Mn-10Al-1C steel with an elevated concentration of Mn was investigated. Hot compression tests at temperatures of 950–1150 °C and strain rates of 0.1–10 s−1 were carried out using the thermomechanical simulator, Gleeble 3800. Strain compensated constitutive model of hot deformation behavior with high accuracy (error was 4.6%) has shown significant increases in the effective activation energy (410–460 kJ/mol) in comparison with low Mn steels. The significant influence of the strain rate and temperature on the grain size was shown. The grain size decreases from the initial value of 42 ± 6 μm to the value of 3.5 ± 0.7 μm after the deformation at 1050 °C and 10 s−1. The model of the microstructure evolution of the investigated steel was constructed. The average error of the constructed model was 8.5%. The high accuracy of the constructed models allows for their application for the optimization of the hot deformation technologies using finite element simulation. Full article
(This article belongs to the Special Issue Experimental Investigation and Numerical Simulation of the Deformation Behavior of Steels)
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