Special Issue "Dynamic Recrystallization Behavior of Metallic Materials"
A special issue of Metals (ISSN 2075-4701).
Deadline for manuscript submissions: 31 August 2018
Prof. Roland E. Logé
Thermomechanical Metallurgy Laboratory–PX Group Chair, Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, Switzerland
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Interests: microstructure and texture evolutions in metals and alloys; recrystallization and grain growth; thermo-mechanical treatments; multiscale modelling; selective laser melting; laser shock peening
Dr. Ke Huang
This Special Issue of Metals deals with all aspects of the dynamic recrystallization of metals and alloys. The topic is not new, but still represents a very active research area, due to the complex multiscale nature of the problem, and its industrial importance.
A better understanding of dynamic recrystallization phenomena implies the use of predictive models at different scales, which describe the complex evolutions of interface patterns, looking at the local kinetic equations, and at the global meso- or macroscopic resulting properties. These models include the so-called mean field models taking advantage of differential equations operating on well-chosen state variables. They also refer to more demanding mesoscale computational models with explicit representations of microstructures through grids or meshes (Monte Carlo, Cellular Automata, Phase field, Level set, etc.). At the lowest scale, atomistic simulations provide new insights into the mechanisms operating during interface motion.
Experimental approaches also explore the dynamics of interfaces at different scales, looking at nucleation phenomena, texture changes, interaction between moving boundaries and dislocations structures, boundary mobility and energy, coupling with twinning, phase transformation and precipitation. In situ experiments at Large Facilities provide more and more information on those subjects, which need to be translated into appropriate mechanical and physical descriptions. At the laboratory scale, the possibility to explore dynamic recrystallization in macroscopic samples from the measurement of temperature, stress/strain, strain rate, geometry or resistivity changes, deserves further investigation, in particular by taking advantage of multiscale models, and studying variable thermal and mechanical conditions, which are of utmost importance in industry and have been so far relatively neglected in academic work.
Prof. Roland E. Logé
Dr. Ke Huang
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 papers will be 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 1000 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.
- dynamic recrystallization
- dynamic recovery
- grain boundary migration
- grain refinement
- microstructure characterization
- mechanical properties
- multiscale modelling