Dynamic recrystallization model of the Cu–Cr–Zr–Ag alloy under hot deformation

Zhang, Yi; Tian, Baohong; Volinsky, Alex A.; Chen, Xiaohong; Sun, Haoliang; Chai, Zhe; Liu, Ping; Liu, Yong

doi:10.1557/jmr.2016.140

Cited by 24 publications

(10 citation statements)

References 31 publications

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“…Figure 4 shows microstructure of the Cu-Ni-Si and Cu-Ni-Si-Ag alloys deformed at different strain rates and temperatures. Zhang et al [2] also reported the same results in the study of the Cu-Cr-Zr-Ag alloy. This means that the addition of Ag can refine the grain and effectively improve dynamic recrystallization.…”

Section: Ag Effects On Deformation Activation Energy and Microstructuresupporting

confidence: 59%

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Effects of Ag Addition on Hot Deformation Behavior of Cu–Ni–Si Alloys

et al. 2017

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Hot deformation behavior of Cu-Ni-Si and Cu-Ni-Si-Ag alloys is investigated using the Gleeble-1500D simulator in the 600-800 C deformation temperature and 0.01-5 s À1 strain rate ranges. Dynamic recrystallization (DRX) mechanism is a feature of high temperature flow stress-strain curves of the alloy. Microstructure is observed by optical microscopy. Ag addition can refine the grains and accelerate dynamic recrystallization. Characteristic points of the flow stress curves, including critical strain for DRX initiation (e c ), are determined by employing strain hardening rate analysis. Processing maps are developed and analyzed based on the dynamic material model (DMM). Ag addition can optimize the alloy processing workability. Experimental SectionThe materials used in the present work were Cu-Ni-Si and Cu-Ni-Si-Ag alloys with the chemical composition in wt% Cu-2.0Ni-0.5Si and Cu-2.0Ni-0.5Si-0.15Ag, respectively. The

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Section: Ag Effects On Deformation Activation Energy and Microstructuresupporting

confidence: 59%

“…[1,2] It also has high specific strength and outstanding electrical properties, along with excellent thermal conductivity. [1,2] It also has high specific strength and outstanding electrical properties, along with excellent thermal conductivity.…”

Section: Introductionmentioning

confidence: 99%

Effects of Ag Addition on Hot Deformation Behavior of Cu–Ni–Si Alloys

et al. 2017

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“…Many efforts have been devoted to this field and showed that the alloying elements should have little effect on the EC and possesses a large solid solubility change from high temperature to room temperature. [6][7][8][9][10] However, there is a lack of a model that quantitatively describes the relationship between alloy composition and performance. As a result, the compositional design of high-performance copper alloy mainly relies on trial and error, or intuitions.…”

Section: Intorductionmentioning

confidence: 99%

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

et al. 2019

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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.

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“…[24] The cylindrical specimen size used for hot deformation experiments was Ф8 Â 12 mm. Then, the bars were homogenized through solution heat treatment at 900 C for 1 h, which almost dissolved the eutectic structure into the matrix.…”

Section: Methodsmentioning

confidence: 99%

Small Y Addition Effects on Hot Deformation Behavior of Copper‐Matrix Alloys

et al. 2017

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Hot deformation behavior of two alloys, Cu-Zr and Cu-Zr-Y is studied by compression tests using the Gleeble-1500D thermo-mechanical simulator. Experiments are conducted at 550-900 C temperature and 0.001-10 s À1 strain rate. The true stress-true strain curves are analyzed, and the results show that the flow stress strongly depends on the temperature and the strain rate. Furthermore, both alloys behave similarly when the flow stress increases with higher strain rate and lower temperature. Based on the dynamic material model, the processing maps are obtained at strains of 0.4 and 0.5. The optimal processing parameters for the Cu-Zr and Cu-Zr-Y alloys are determined. In addition, the constitutive equations for the alloys are established to characterize the flow stress as a function of strain rate and deformation temperature. Based on the microstructure evolution analysis, the results show that the addition of Y can effectively promote dynamic recrystallization. Moreover, the processability of the alloy can be optimized. Thermal deformation activation energy and the peak power dissipation efficiency for the alloys are obtained. It is observed that the addition of Y effectively improves thermal deformation activation energy and has considerable influence on the peak power dissipation efficiency.

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Dynamic recrystallization model of the Cu–Cr–Zr–Ag alloy under hot deformation

Abstract: Abstract

Cited by 24 publications

References 31 publications

Effects of Ag Addition on Hot Deformation Behavior of Cu–Ni–Si Alloys

Effects of Ag Addition on Hot Deformation Behavior of Cu–Ni–Si Alloys

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

Small Y Addition Effects on Hot Deformation Behavior of Copper‐Matrix Alloys

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