High Strength and Good Ductility in Cu-3Ag-0.5Zr Alloy by Cryo-Rolling and Aging

Krishna, S. Chenna; Chawake, Niraj; Kottada, Ravi Sankar; Jha, Abhay K.; Pant, Bhanu; Venkitakrishnan, P. V.

doi:10.1007/s11665-016-2419-3

Cited by 10 publications

(9 citation statements)

References 43 publications

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“…As the bottom part of the ECAPed sample was no longer in contact with the die. Consequently, lower degree of deformation occurred in the bottom of the sample [4]. Accordingly, this inconsistency in the stresses and plastic strain values recorded along the LS of the ECAP sample will significantly affect the homogeneity in the mechanical properties and microstructural features throughout the sample.…”

Section: Finite Element Analysismentioning

confidence: 99%

“…Copper (Cu) and Cu alloys have been found to possess fairly high strength, outstanding thermal conductivity, resistance to corrosion while being easy to fabricate; as a result, they have gained popular appeal in applications like automobile manufacturing, railway transportation, electrical and electronic industries, structural applications and applications involving heating or temperature measurement [1][2][3][4][5]. Due to its known softness and ductility, industrially utilizing pure Cu is kept to a minimum in many engineering applications [6].…”

Section: Introductionmentioning

confidence: 99%

“…A common fix to this problem is the refinement of the grain structure on the nano-scale level using severe plastic deformation (SPD) techniques [7][8][9]. This produces ultrafine-grained (UFG) Cu that possesses many appealing properties such as the coexistence of high strength and ductility [4,10,11].…”

Section: Introductionmentioning

confidence: 99%

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Experimental and Numerical Investigation of the ECAP Processed Copper: Microstructural Evolution, Crystallographic Texture and Hardness Homogeneity

Alateyah

Ahmed

Zedan

et al. 2021

Metals

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The current study presents a detailed investigation for the equal channel angular pressing of pure copper through two regimes. The first was equal channel angular pressing (ECAP) processing at room temperature and the second was ECAP processing at 200 °C for up to 4-passes of route Bc. The grain structure and texture was investigated using electron back scattering diffraction (EBSD) across the whole sample cross-section and also the hardness and the tensile properties. The microstructure obtained after 1-pass at room temperature revealed finer equiaxed grains of about 3.89 µm down to submicrons with a high density of twin compared to the starting material. Additionally, a notable increase in the low angle grain boundaries (LAGBs) density was observed. This microstructure was found to be homogenous through the sample cross section. Further straining up to 2-passes showed a significant reduction of the average grain size to 2.97 µm with observable heterogeneous distribution of grains size. On the other hand, increasing the strain up to 4-passes enhanced the homogeneity of grain size distribution. The texture after 4-passes resembled the simple shear texture with about 7 times random. Conducting the ECAP processing at 200 °C resulted in a severely deformed microstructure with the highest fraction of submicron grains and high density of substructures was also observed. ECAP processing through 4-passes at room temperature experienced a significant increase in both hardness and tensile strength up to 180% and 124%, respectively.

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Section: Finite Element Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Experimental and Numerical Investigation of the ECAP Processed Copper: Microstructural Evolution, Crystallographic Texture and Hardness Homogeneity

Alateyah

Ahmed

Zedan

et al. 2021

Metals

View full text Add to dashboard Cite

show abstract

“…Copper (Cu) and Cu alloys are highly preferred in a wide variety of industrial purposes, including the automotive, transportation, electronic, and electric sectors [1][2][3], as well as structural applications [4,5]. This is because of their superior conductivity, corrosion resistance [1,2,6], good formability, and significantly enhanced strength [4]. Furthermore, by severe plastic deformation (SPD) procedures, grain refinement reaching the ultrafinegrained (UFG) or nano-sized (NS) level creates better Cu with exceptional strength and ductility [7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

“…Various SPD methods are currently viable, including Equal-Channel Angular Pressing (ECAP) [16][17][18][19][20][21], high-pressure torsion (HPT) [22][23][24][25], accumulative rolling bonding (ARB) [26], twist extrusion (TE) [27], and Multi-channel spiral twist extrusion (MC-STE) [28][29][30][31]. ECAP is by far the most efficient SPD approach for generating UFG and nano-sized (NS) materials [32][33][34][35], along with enhancing ductility among the other SPD techniques [6,18]. ECAP is a viable choice for the advancement of various industrial applications due to its capacity to generate large-scale samples as opposed to SPD equivalents [36].…”

Section: Introductionmentioning

confidence: 99%

Investigation of the Effect of ECAP Parameters on Hardness, Tensile Properties, Impact Toughness, and Electrical Conductivity of Pure Cu through Machine Learning Predictive Models

et al. 2022

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Copper and its related alloys are frequently adopted in contemporary industry due to their outstanding properties, which include mechanical, electrical, and electronic applications. Equal channel angular pressing (ECAP) is a novel method for producing ultrafine-grained or nanomaterials. Modeling material design processes provides exceptionally efficient techniques for minimizing the efforts and time spent on experimental work to manufacture Cu or its associated alloys through the ECAP process. Although there have been various physical-based models, they are frequently coupled with several restrictions and still require significant time and effort to calibrate and enhance their accuracies. Machine learning (ML) techniques that rely primarily on data-driven models are a viable alternative modeling approach that has recently achieved breakthrough achievements. Several ML algorithms were used in the modeling training and testing phases of this work to imitate the influence of ECAP processing parameters on the mechanical and electrical characteristics of pure Cu, including the number of passes (N), ECAP die angle (φ), processing temperature, and route type. Several experiments were conducted on pure commercial Cu while altering the ECAP processing parameters settings. Linear regression, regression trees, ensembles of regression trees, the Gaussian process, support vector regression, and artificial neural networks are the ML algorithms used in this study. Model predictive performance was assessed using metrics such as root-mean-squared errors and R2 scores. The methodologies presented here demonstrated that they could be effectively used to reduce experimental effort and time by reducing the number of experiments runs required to optimize the material attributes aimed at modeling the ECAP conditions for the following performance characteristics: impact toughness (IT), electrical conductivity (EC), hardness, and tensile characteristics of yield strength (σy), ultimate tensile strength (σu), and ductility (Du)

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High Strength, Utilizable Ductility and Electrical Conductivity in Cold Rolled Sheets of Cu-Cr-Zr-Ti Alloy

Krishna

Karthick

Rao

et al. 2017

J. of Materi Eng and Perform

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High Strength and Good Ductility in Cu-3Ag-0.5Zr Alloy by Cryo-Rolling and Aging

Cited by 10 publications

References 43 publications

Experimental and Numerical Investigation of the ECAP Processed Copper: Microstructural Evolution, Crystallographic Texture and Hardness Homogeneity

Experimental and Numerical Investigation of the ECAP Processed Copper: Microstructural Evolution, Crystallographic Texture and Hardness Homogeneity

Investigation of the Effect of ECAP Parameters on Hardness, Tensile Properties, Impact Toughness, and Electrical Conductivity of Pure Cu through Machine Learning Predictive Models

High Strength, Utilizable Ductility and Electrical Conductivity in Cold Rolled Sheets of Cu-Cr-Zr-Ti Alloy

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