Development of high-strength aluminum alloys by mesoscopic structure control

Osamura, Kōzō; Kubota, Osamu; Promstit, Parsons; Okuda, Hiroshi; Ochiai, Shojiro; Fujii, Kensuke; Kusui, Jun; Yokote, Takamasa; Kubo, Kohei

doi:10.1007/bf02647611

Cited by 17 publications

(7 citation statements)

References 4 publications

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“…Fig. 9 Comparison of ultimate tensile strength and elongation of high-strength aluminum alloy [6,[40][41][42][43][44][45][46][47][48][49][50][51][52]. CP is the conventional industrial production process, SD is the spray deposition process, PM is the powder metallurgy process, and SPD is the severe plastic deformation process.…”

Section: Analysis Of the Mechanism Of The Improved Strength And Ducti...mentioning

confidence: 99%

A Novel Method for Alloy Materials Design via Sample Data Transfer Machine Learning

Xie

Jiang

Zhang

et al. 2022

Preprint

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One of the challenges in material design is to rapidly develop new materials or improve the performance of materials by utilizing the data and knowledge of existing materials. Here, a novel method of alloy material design via data transfer learning is proposed to efficiently design new alloys using existing data. A new type of aluminum alloy with ultra strength and high toughness (so-called E2 alloy) previously developed by the authors is used as an example, and an optimal three-stage solution-aging treatment process (which is very difficult to design by trial-and-error method, T66R process for short) was rapidly designed based on 1053 pieces of heat treatment process data of AA7xxx series commercial high-strength aluminum alloy and a total of 29 groups of experimental data of E2 alloy. It overcomes the bottleneck of expensive theoretical calculations and more than millions of possible process combinations in the experimental trial-and-error space in the process design of complex alloy heat treatment. Compared with the common T6 process in the aluminum industry, the T66R process can increase the ultimate tensile strength and elongation of the E2 alloy simultaneously, from 715 ± 6 MPa and 8.4 ± 0.4% to 767 ± 6 MPa and 13.4 ± 0.5%, respectively. The results of microstructure characterization indicate that employing the optimal T66R process, the amount of micron-scale insoluble phases in the E2 alloy is sharply reduced, and the number of nano-precipitates is significantly increased, which leads to the simultaneous improvement of the strength and plasticity of the alloy. This study shows that transferring the existing alloy data is an effective method to design new alloys.

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Section: Analysis Of the Mechanism Of The Improved Strength And Ducti...mentioning

confidence: 99%

A Novel Method for Alloy Materials Design via Sample Data Transfer Machine Learning

Xie

Jiang

Zhang

et al. 2022

Preprint

View full text Add to dashboard Cite

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“…The coherency strain in the MgZn-Al alloy is calculated using the value of int and the quasicrystal phase particle morphologies (Table 2), which are measured by microstructure observation and except for coarse-particle of more than 1 mm. The estimated values of " int in the Mg-Zn-Al alloys and the reported values in the other alloys 27,28,36,37) are listed in Table 4. The coherency strain of the quasicrystal phase particle is smaller than that of the other particles.…”

Section: )mentioning

confidence: 99%

Effect of Quasicrystal Phase Particle Dispersion on Mechanical Properties in Mg-Zn-Al Alloys

et al. 2011

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Four kinds of Mg-x mass%Zn-y mass%Al (x ¼ 6, 8, 10, 12 and y ¼ 3, 4, 5, 6) alloys, each with a grain size of 2$3 mm and containing quasicrystal phase particles, were successfully produced by casting and extrusion. These rare-earth free wrought processed magnesium alloys showed a reduction in mechanical asymmetry and a weak basal texture. Although the yield strength improved, the elongation decreased with increasing volume fraction of quasicrystal phase particle. The decrease in ductility was related to the existence of coarse quasicrystal phase particles. The strength was affected by the interface strength mechanism; however, the coherency strain in the quasicrystal phase was smaller than that in the conventional phase, due to the strong matching between the matrix and the quasicrystal phase.

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“…The mechanical properties of Al-Zn-Mg-Cu quaternary alloys are determined primarily by precipitation hardening, where the nanometer-scale precipitates act as pinning centers to prevent dislocation motion [3]. Hardening is achieved via the presence of microstructural obstacles that inhibit dislocation movement and improve the overall mechanical properties of the alloy [4].…”

Section: Introductionmentioning

confidence: 99%

The Influence of Heat Treatment on the Mechanical Properties and Corrosion Resistance of the Ultrafine-Grained AA7075 Obtained by Hydrostatic Extrusion

et al. 2022

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In this paper, the corrosion resistance and mechanical properties of the 7075 aluminum alloy are studied. The alloy was deformed by hydrostatic extrusion and then aged both naturally and artificially. Results are compared with those of coarse-grained material subjected to T6 heat treatment. The aim of the research is to find the optimal correlation between the mechanical properties and the corrosion resistance of the alloy. To this end, static tensile tests with subsequent fractography, open circuit potential, and potentiodynamic polarization tests in 0.05 M NaCl were conducted. Obtained results show that a combination of precipitate hardening and a deformed microstructure leads to increased mechanical strength with high anisotropy due to the presence of fibrous grains. Plastic deformation increases susceptibility to corrosion due to the increased number of grain boundaries, which act as paths along that corrosion propagates. However, further artificial aging incurs a positive effect on corrosion resistance due to changes in the chemical composition of the matrix as a result of the precipitation process.

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Development of high-strength aluminum alloys by mesoscopic structure control

Cited by 17 publications

References 4 publications

A Novel Method for Alloy Materials Design via Sample Data Transfer Machine Learning

A Novel Method for Alloy Materials Design via Sample Data Transfer Machine Learning

Effect of Quasicrystal Phase Particle Dispersion on Mechanical Properties in Mg-Zn-Al Alloys

The Influence of Heat Treatment on the Mechanical Properties and Corrosion Resistance of the Ultrafine-Grained AA7075 Obtained by Hydrostatic Extrusion

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