Microstructure and Properties of Fine Grained Cu-Cr-Zr Alloys after Termo-Mechanical Treatments

Morozova, A.; Mishnev, Roman; Belyakov, Andrey; Kaibyshev, Rustam

doi:10.1515/rams-2018-0020

Cited by 62 publications

(48 citation statements)

References 113 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We abandon the data of alloys strengthened by unconventional methods, such as cryogenic treatment, equal channel angular pressing, high pressure torsion, and accumulative rolling bonding. 32,[41][42][43] Moreover, data from alloys containing the toxic elements of Be and Cd, and the noble metal elements of Ag and Pt are also discarded. 44 Finally, a database containing around 300 well-labeled samples is established for the following machine learning process.…”

Section: Data Preparationmentioning

confidence: 99%

A property-oriented design strategy for high performance copper alloys via machine learning

et al. 2019

View full text Add to dashboard Cite

Traditional strategies for designing new materials with targeted property including methods such as trial and error, and experiences of domain experts, are time and cost consuming. In the present study, we propose a machine learning design system involving three features of machine learning modeling, compositional design and property prediction, which can accelerate the discovery of new materials. We demonstrate better efficiency of on a rapid compositional design of high-performance copper alloys with a targeted ultimate tensile strength of 600-950 MPa and an electrical conductivity of 50.0% international annealed copper standard. There exists a good consistency between the predicted and measured values for three alloys from literatures and two newly made alloys with designed compositions. Our results provide a new recipe to realize the property-oriented compositional design for highperformance complex alloys via machine learning.

show abstract

Section: Data Preparationmentioning

confidence: 99%

A property-oriented design strategy for high performance copper alloys via machine learning

et al. 2019

View full text Add to dashboard Cite

show abstract

“…This is mainly attributed to the fact that the continuous network eutectic structure in the longitudinal section is gradually drawn into long fibers through multi-pass continuous drawing, which are approximately parallel to the axial direction. Meanwhile, work-hardening occurs as the function of drawing strain, which leads to a gradual increase of the tensile strength [39]. However, the elongation of the Cu-20 wt% Ag alloy wire is closely related to the diameter, which decreases rapidly from 48% to 3.68% when the diameter of alloy wires is drawn from 7.83 to 2.95 mm (η = 1.95) due to the sharp increase of the dislocation density inside the grains after drawing deformation [40].…”

Section: Mechanical Propertiesmentioning

confidence: 99%

Microstructural evolution and properties of Cu–20 wt% Ag alloy wire by multi-pass continuous drawing

Cheng

Song

Mi³

et al. 2020

Nanotechnology Reviews

View full text Add to dashboard Cite

The Cu–20 wt% Ag alloy wire rod was prepared using three-chamber vacuum cold mold vertical continuous up-casting followed by multi-pass continuous drawing. The evolution of microstructure, mechanical property, and electrical property of the Cu–20 wt% Ag alloy wire during multi-pass continuous drawing was studied. After multi-pass continuous drawing, the continuous network eutectic structure in the longitudinal section of the as-casted rod was gradually drawn into long fibers that approximately parallel to the axial direction, while the space of the continuous network eutectic structure in the transverse section is getting smaller and smaller. Both the preferred orientation of copper and silver grains are (1,1,1). With the increase of drawing strain (η), the tensile strength of Cu–20 wt% Ag alloy wire gradually increases while the elongation gradually decreases. When the diameter is drawn to 0.02 mm (η = 11.94), the tensile strength of the alloy is 1,682 MPa and elongation is 2.0%. The relationship between tensile strength, elongation, and diameter conforms to Allometric and Boltzmann functions, respectively.

show abstract

“…The strength of a ternary system alloy can exceed 500 MPa, depending on the method of deformation processing and the accumulated strain. In this case, the electrical conductivity is about 80% IACS (International Annealed Copper Standard) [2,[5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Influence of the Chromium Content in Low-Alloyed Cu–Cr Alloys on the Structural Changes, Phase Transformations and Properties in Equal-Channel Angular Pressing

Аксенов

Asfandiyarov

Рааб

et al. 2021

Metals

View full text Add to dashboard Cite

The quantitative concentration of alloying elements in low-alloyed copper alloys is an important factor in forming electrical and mechanical characteristics. It is known that severe plastic deformation is accompanied by both a substantial refinement of the structure and changes in the kinetics of phase transformations during the deformation and the post-deformation thermal treatment. This paper presents the results of a comparative analysis of the Cu–0.2Cr and Cu–1.1Cr alloys subjected to equal-channel angular pressing at room temperature. The analysis was performed for the grain structure, solid solution, and second-phase particles using transmission electron microscopy, scanning electron microscopy, X-ray crystal analysis, and the small-angle diffraction method. It was found that the level of structure refinement and mechanical characteristics after equal-channel angular pressing was almost the same for both studied alloys. Post-deformation aging of the Cu–0.2Cr alloy leads to the development of polygonization and re-crystallization within it. The aging of the Cu–1.1Cr alloy shows a better thermal stability than that of the Cu–0.2Cr alloy. In the Cu–1.1Cr alloy, after aging, in comparison with Cu–0.2Cr, a denser-packed ensemble of fine particles with an average size of 54 ± 2 nm is formed. In this case, the average size of fragments is 270 ± 15 nm and the ultimate tensile strength reaches 485 MPa.

show abstract

Microstructure and Properties of Fine Grained Cu-Cr-Zr Alloys after Termo-Mechanical Treatments

Cited by 62 publications

References 113 publications

A property-oriented design strategy for high performance copper alloys via machine learning

A property-oriented design strategy for high performance copper alloys via machine learning

Microstructural evolution and properties of Cu–20 wt% Ag alloy wire by multi-pass continuous drawing

Influence of the Chromium Content in Low-Alloyed Cu–Cr Alloys on the Structural Changes, Phase Transformations and Properties in Equal-Channel Angular Pressing

Contact Info

Product

Resources

About