Effect of aluminum on microstructure and property of Cu–Ni–Si alloys

Lei, Qian; Li, Z.; Dai, Cheng; Wang, Jun; Chen, Xu; Xie, Jian; Yang, W.W.; Chen, D.L.

doi:10.1016/j.msea.2013.02.024

Cited by 135 publications

(48 citation statements)

References 27 publications

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“…A possible explanation was that facets that showed quasi-cleavage fracture ϭϬ modes ahead of the moving crack front; then, as the cyclic number increased, the cleavage facet extended by tearing into the matrix around it by microvoid (i.e. dimple) coalescence [24]. Similar phenomenon was also reported in the LCF behavior of the A356 aluminum alloy, in which quasi-cleavage facets were frequently observed on the fracture surface of T5 samples [25].…”

Section: Fracture Behaviorsupporting

confidence: 58%

Elevated temperature low cycle fatigue of a gravity casting Al–Si–Cu alloy used for engine cylinder heads

Fan

Liu

et al. 2015

Materials Science and Engineering: A

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Section: Fracture Behaviorsupporting

confidence: 58%

Elevated temperature low cycle fatigue of a gravity casting Al–Si–Cu alloy used for engine cylinder heads

Fan

Liu

et al. 2015

Materials Science and Engineering: A

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“…Mg improves strength and provides better stress relaxation resistance by decreasing inter‐precipitate spacing and through the Mg atom drag effect on dislocation motion . A similar result was obtained in case of Al addition, it was observed that Al promotes the precipitation and enhances the stress relaxation resistance . These elements segregate at different locations and show different behavior during aging which make them interesting for further investigations.…”

Section: Introductionsupporting

confidence: 64%

“…Jia determined

{false(100 false)}_{δ} ∥ {001}_{m}

{{false[100 false]}_{δ} ∥ 〈 110 〉}_{m}

, and

{{false[010 false]}_{δ} ∥ 〈 110 〉}_{m}

as the ORs for

δ - {Ni}_{2}

Si precipitates. Due to the orthorhombic lattice structure and orientation of

δ - {Ni}_{2}

Si, dislocations cannot shear these precipitates and dislocations only bypass them; as a result, the Orowan mechanism is the main reason of strengthening in these alloys .…”

Section: Introductionmentioning

confidence: 99%

Precipitation in a copper matrix modeled byab initiocalculations and atomistic kinetic Monte Carlo simulations

Sajadi

Hocker

Mora

et al. 2016

Phys. Status Solidi B

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A kinetic Monte Carlo approach is used to study the influence of Cr, Fe, Al, or Mg addition on the precipitation in a Cu–Ni–Si alloy. The simulation method is based on a vacancy diffusion model. The crucial parameters of this method are the pairwise mixing energies of all contained elements which are determined by ab initio calculations. The number of dissolved atoms in equilibrium state is used to estimate the influence of Cr, Fe, Al, or Mg on the electrical conductivity. In order to estimate the influence of the alloying elements on strength ab initio calculations of misfit strain at the normalCu/italicNi3Si interface are performed. The atomistic kinetic Monte Carlo (AKMC) simulations reveal that Cr, Fe, Al, and Mg atoms are located at different positions: Mg and Al atoms are preferably located at the interface of Ni–Si precipitates and Cu matrix, Cr atoms diffuse into Ni–Si precipitates, and Fe atoms form Fe clusters surrounded by Ni–Si shells. Cr addition leads to a significantly reduced fraction of atoms dissolved in the matrix which indicates an increase of electrical conductivity, whereas Mg addition results in a high misfit strain at the normalCu/italicNi3Si interface which can contribute to increased strength.

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“…Copper is also widely used for bolts, nuts, valves, and fittings due to its excellent ductility and malleability (Nnakwo, 2017). Copper is mostly alloyed with silicon and other elements such as tungsten, zinc, tin, magnesium, manganese and nickel to gain high strength and hardness without much reduction of its conductivity (Nnakwo, 2017;Nnakwo et al, 2017aNnakwo et al, , 2017b2019a, 2019bNnakwo and Nnuka, 2018;Garbacz-Klempka et al, 2018;Qing et al, 2011;Xie et al, 2003;Lei et al, 2013aLei et al, , 2013bLei et al, , 2017Gholami et al, 2017;Qian et al, 2017;Suzuki et al, 2006;Wang et al, 2016;Li et al, 2009Li et al, , 2017Pan et al, 2007;Eungyeong et al, 2011;Ho et al, 2000). Silicon increases the fluidity and hardness of copper at the expense of ductility and electrical conductivity by inducing the precipitation of hard but brittle phases such as Cu 3 Si (ɳ I ), Cu 15 Si 4 (ε), and Cu 5 Si (ɣ) when cooled slowly to ambient temperature (Pak et al, 2016;Mattern et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Influence of trace additions of titanium on grain characteristics, conductivity and mechanical properties of copper-silicon-titanium alloys

Nnakwo

Mbah

Nnuka

2019

Heliyon

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The main objective of this research is to explore the influence of trace additions of titanium on grain characteristics (morphology and size), conductivity, and mechanical properties of copper-silicon-titanium alloys. The alloys compositions were designed using response surface optimal design (RSOD). The designed alloy compositions were melted, cast, and subjected to normalizing heat treatment at 900 C for 0.5 hr. The grain characteristics and the elemental constituents of the produced alloys were analyzed using an optical microscope (OM), scanning electron microscopy (SEM), and x-ray fluorescence spectroscopy. The average grain size and distribution were also determined. The properties investigated were percentage elongation, tensile strength, hardness, electrical conductivity, and density. The results were analyzed statistically using analysis of variance (ANOVA) to obtain the significance of titanium content on the tested properties and to generate statistical model equations for future applications. The experimental results were optimized to ascertain the optimal alloy composition and properties. The OM and SEM results revealed a decrease in the average grain size of the parent alloy (Cu-3Si) from %10.1 μm to %4.4 μm and change in grain morphology after adding titanium, leading to improvement of properties. The results were confirmed to be statistically significant. The optimization results revealed Cu-3Si-0.47wt%Ti as the optimal alloy composition.

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Effect of aluminum on microstructure and property of Cu–Ni–Si alloys

Cited by 135 publications

References 27 publications

Elevated temperature low cycle fatigue of a gravity casting Al–Si–Cu alloy used for engine cylinder heads

Elevated temperature low cycle fatigue of a gravity casting Al–Si–Cu alloy used for engine cylinder heads

Precipitation in a copper matrix modeled byab initiocalculations and atomistic kinetic Monte Carlo simulations

Influence of trace additions of titanium on grain characteristics, conductivity and mechanical properties of copper-silicon-titanium alloys

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