Recrystallization and Heat Treatment Optimization of Alloys

A special issue of Metals (ISSN 2075-4701). This special issue belongs to the section "Crystallography and Applications of Metallic Materials".

Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 1419

Special Issue Editor


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Guest Editor
Department of Metallurgy and Materials Science, Shahid Rajaee Teacher Training University, Tehran 1678815811, Iran
Interests: dynamic and static restoration phenomena; thermo-mechanical treatment; advanced microstructural and texture characterization

Special Issue Information

Dear Colleagues,

Heat treatment and the related physical metallurgy phenomena which occur during the thermal processing of materials have long been recognized as being both of technological importance and scientific interest. Despite a vast body of literature, the requirements of industry for high-throughput heat treatment drive the metallurgical research in this field, particularly along the lines of the recrystallization phenomenon, to improve and optimize the microstructure and texture of the finished products. Although the fundamental aspects involved in recrystallization are clear, many are not well understood and the experimental evidence is often poor and conflicting.

This Special Issue addresses the effects of heat treatment and prior-deformation parameters on microstructural evolutions. Theoretical and experimental research papers on the detailed understanding of softening phenomena and their interplay with other physical processes are highly welcome. This issue covers, but is not limited to, the following topics:

  • The effect of temperature and time on the recrystallization process;
  • Innovative heat treatment to optimize mechanical properties;
  • Recrystallization mechanisms and features;
  • Concurrent recrystallization and phase transformation.

Dr. Seyed Mahmood Fatemi
Guest Editor

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Keywords

  • recrystallization
  • grain boundary
  • dislocation
  • texture
  • recovery
  • precipitation
  • transformation
  • annealing

Published Papers (1 paper)

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Research

21 pages, 11710 KiB  
Article
Influence of an Ageing Heat Treatment on the Mechanical Characteristics of Iron-Aluminium Bronzes with β-Transformation Obtained via Centrifugal Casting: Modelling and Optimisation
by Jordan Maximov, Galya Duncheva, Angel Anchev, Vladimir Dunchev, Vladimir Todorov and Yaroslav Argirov
Metals 2023, 13(12), 1930; https://doi.org/10.3390/met13121930 - 24 Nov 2023
Viewed by 879
Abstract
Aluminium bronzes possess a unique combination of high strength and wear and corrosion resistance in aggressive environments; thus, these alloys find wide application in marine, shipbuilding, aviation, railway, offshore platform applications and other fields. Iron-aluminium bronzes (IABs) are the cheapest and most widely [...] Read more.
Aluminium bronzes possess a unique combination of high strength and wear and corrosion resistance in aggressive environments; thus, these alloys find wide application in marine, shipbuilding, aviation, railway, offshore platform applications and other fields. Iron-aluminium bronzes (IABs) are the cheapest and most widely used. When the aluminium content is above 9.4 wt%, IAB is biphasic (i.e., it undergoes β-transformation) and can be subjected to all heat-treatment types, depending on the desired operating behaviour of the bronze component. This article presents correlations (mathematical models) between the primary mechanical characteristics (yield limit, tensile strength, elongation, hardness and impact toughness) and the ageing temperature and time of quench at 920 °C in water of Cu-11Al-6Fe bronze, obtained using the centrifugal casting method. The microstructure evolution was evaluated depending on the ageing temperature and time changes. Overall, the research was conducted in three successive inter-related stages: a one-factor-at-a-time study, planned experiment, and optimisations. Four optimisation tasks, which have the greatest importance for practice, were formulated and solved. The defined multiobjective optimisation tasks were solved by searching for the Pareto-optimal solution approach. The decisions were made through a nondominated sorting genetic algorithm (NSGA-II) using QstatLab. The optimisation results were verified experimentally. Additional samples were made for this purpose, quenched at 920 °C in water and subjected to subsequent ageing with the optimal values of the governing factors (ageing temperature and time) for the corresponding optimisation task. The comparison of the results for the mechanical characteristics with the theoretical optimisation results presents a good agreement. Full article
(This article belongs to the Special Issue Recrystallization and Heat Treatment Optimization of Alloys)
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