The combination of precipitation and dispersion hardening in powder metallurgy produced Cu–Ti–Si alloy

Božić, D.; Dimčić, O.; Dimčić, Biljana; Cvijović, I.; Rajković, Višeslava

doi:10.1016/j.matchar.2007.09.005

Cited by 28 publications

(6 citation statements)

References 7 publications

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“…r pho is considered to be stable, 3 Electrical conductivities of Cu-Ni-Si alloys with different Cu contents after aging at 450uC for different times a as cast, 90%Cu; b as aged, 90%Cu; c as cast, 80%Cu; d as aged, 80%Cu 4 Microstructures of two Cu-Ni-Si alloys in different states depending mainly on the measuring temperature. Thus, the change of total electrical resistivity of Cu-Ni-Si alloys after various treatments can be simplified as follows Dr~Dr pre zDr sol zDr int (2) According to equation (2), the change of electrical resistivities of Cu-Ni-Si alloys after various treatments depends mainly on that of r pre , r sol and r int . After the aging treatment, the precipitation of d-Ni 2 Si phase leads r sol to decrease but r pre to increase.…”

Section: Discussionmentioning

confidence: 99%

“…[1][2][3] However, the rather low tensile strength limits their utilisation as industrial materials. 4 Therefore, it is an interesting question of how to improve the tensile strength while retaining the attractive electrical and thermal conductivities of pure copper and its alloys.…”

Section: Introductionmentioning

confidence: 99%

“…Owing to the excellent electrical and thermal conductivities, pure copper and its alloys are now being used widely in electrical power, electronics and instrumentation applications. [1][2][3] However, the rather low tensile strength limits their utilisation as industrial materials. 4 Therefore, it is an interesting question of how to improve the tensile strength while retaining the attractive electrical and thermal conductivities of pure copper and its alloys.…”

Section: Introductionmentioning

confidence: 99%

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Netted structure of grain boundary phases and its influence on electrical conductivity of Cu–Ni–Si system alloys

Jia

Xie

et al. 2012

Materials Science and Technology

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Cu-Ni-Si alloys with four different Cu contents were fabricated by means of smelting. Subsequently, isothermal aging and hot rolling followed by aging treatment were carried out. The microstructure and phase composition were characterised by optical microscope, transmission electron microscope and X-ray diffractometer. Electrical conductivity was measured by using an eddy current based technique. The results show that the electrical conductivities of as cast Cu-Ni-Si alloys decrease obviously with a decline in Cu content. Isothermal aging is favourable to enhance the electrical conductivities of Cu-Ni-Si alloys with higher than 90%Cu content rather than that with ,90%Cu content containing an integrated netted structure of grain boundary phases. The electrical conductivities of as rolled Cu-Ni-Si alloys can obviously be increased by subsequent aging treatment. The above results suggest that the disintegration of the integrated netted structure at the grain boundary is a promise to achieve high electrical conductivity for Cu-Ni-Si alloys.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Netted structure of grain boundary phases and its influence on electrical conductivity of Cu–Ni–Si system alloys

Jia

Xie

et al. 2012

Materials Science and Technology

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“…Eungyeong et al [23] achieved a further increase in electrical conductivity (from 31%IACS to 43%IACS) via reduction of the nickel content (from 8 wt% to 3wt%), doping with titanium and subsequent aging. Bozˇic´ et al [31] achieved increased hardness and electrical conductivity of the Cu-Ni-Si-Ti alloys through the dispersion of TiSi 2 -phase in the copper matrix. Lei et al [20] developed copper-nickel-silicon-aluminum alloys of excellent hardness (343 HV) and low electrical conductivity (28.1%IACS).…”

Section: Introductionmentioning

confidence: 99%

Grain characteristics, electrical conductivity, and hardness of Zn-doped Cu–3Si alloys system

et al. 2021

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The grain characteristics, electrical conductivity, hardness, and bulk density of Cu–3Si–(0.1—1 wt%)Zn alloys system fabricated by gravity casting technique were investigated experimentally using optical microscopy (OM), scanning electron microscopy (SEM), and energy dispersive spectroscopy (EDS). The study established the optimal alloy composition and the significance of zinc addition on the tested properties using response surface optimal design (RSOD). The cooled alloy samples underwent normalizing heat treatment at 900 °C for 0.5 h. The average grains size and grains distribution were analyzed using the linear intercept method (ImageJ). The microstructure examination revealed a change in grain characteristics (morphology and size) of the parent alloy by addition of 0.1 wt% zinc. The average grains size of the parent alloy decreased from 12 µm to 7.0 µm after 0.1 wt% zinc addition. This change in grain characteristics led to an increase in the hardness of the parent alloy by 42.2%, after adding 0.1 wt% zinc. The electrical conductivity of the parent alloy decreased from 46.3%IACS to 45.3%IACS, while the density was increased by 8.4% after adding 0.1 wt% zinc. The statistical data confirmed the significance of the change in properties. The result of optimization revealed Cu–3Si–0.233Zn as the optimal alloy composition with optimal properties. The Cu–3Si–xZn alloy demonstrated excellent properties suitable for the fabrication of electrical and automobile components.

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“…During mechanical alloying (MA) particles of Zr and B were mechanically activated which enabled in situ forming of ZrB 2 in copper matrix in the course of hot pressing process [8]. Good distribution of ZrB 2 particles in the copper matrix has strong influence on mechanical and physical properties.…”

Section: Introductionmentioning

confidence: 99%

Prediction of hardness and electrical properties in ZrB2 particle reinforced metal matrix composites using artificial neural network

Ružić¹,

Antanasijević²,

Božić³

et al. 2014

Metall Mater Eng

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In the present study, the hardness and electrical properties of copper based composite prepared by hot pressing of mechanically alloyed powders were predicted using Artificial Neural Network (ANN) approach. Milling time (t, h), particles size of mechanically alloyed powders (d, nm), dislocation density (ρ, m -2 ) and compressive yield stress (σ 0.2 , MPa) were used as inputs. The ANN model was developed using general regression neural network (GRNN) architecture. Cu-based composites reinforced with micro and nano ZrB 2 particles were consolidated via powder metallurgy processing by combining mechanical alloying and hot pressing. Analysis of the obtained results concerning hardness and electrical properties of the Cu-7 vol.% ZrB 2 alloy showed that the distribution of micro and nano ZrB 2 particles and the presence of agglomerates in the Cu matrix directly depend on the milling time. Also, the results show a strong influence of the milling time on hardness and electrical properties of Cu-7 vol.% ZrB 2 alloy. Addition of ZrB 2 particles decreases electrical conductivity of copper, but despite this fact Cu-7 vol.% ZrB 2 alloy can be marked as highly conductive alloy (samples made of mechanically alloyed powders milled longer than 20 h). Experimental results of the samples have shown a consistency with the predicted results of ANN.

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The combination of precipitation and dispersion hardening in powder metallurgy produced Cu–Ti–Si alloy

Cited by 28 publications

References 7 publications

Netted structure of grain boundary phases and its influence on electrical conductivity of Cu–Ni–Si system alloys

Netted structure of grain boundary phases and its influence on electrical conductivity of Cu–Ni–Si system alloys

Grain characteristics, electrical conductivity, and hardness of Zn-doped Cu–3Si alloys system

Prediction of hardness and electrical properties in ZrB2 particle reinforced metal matrix composites using artificial neural network

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