Precipitation behavior and mechanical properties of Al–Zn–Mg alloy with high Zn concentration

Chen, Y.; Liu, C.Y.; Zhang, B.; Qin, Fangcheng; Hou, Y.F.

doi:10.1016/j.jallcom.2020.154005

Cited by 34 publications

(5 citation statements)

References 26 publications

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“…At high Mg concentrations, natural ageing results in the formation of Guinier-Preston (GP) zones [52], with alloy strengthening attributed to coherency and modulus mismatch strain [43]. Conversely, at lower Mg concentrations, the strength is primarily due to the formation of η ′ phases during natural ageing [53,54].…”

Section: Alloys Predicted Within Classmentioning

confidence: 99%

Inverse Design of Aluminium Alloys Using Genetic Algorithm: A Class-Based Workflow

Bhat,

Barnard,

Birbilis

2024

Metals

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The design of aluminium alloys often encounters a trade-off between strength and ductility, making it challenging to achieve desired properties. Adding to this challenge is the broad range of alloying elements, their varying concentrations, and the different processing conditions (features) available for alloy production. Traditionally, the inverse design of alloys using machine learning involves combining a trained regression model for the prediction of properties with a multi-objective genetic algorithm to search for optimal features. This paper presents an enhancement in this approach by integrating data-driven classes to train class-specific regressors. These models are then used individually with genetic algorithms to search for alloys with high strength and elongation. The results demonstrate that this improved workflow can surpass traditional class-agnostic optimisation in predicting alloys with higher tensile strength and elongation.

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Section: Alloys Predicted Within Classmentioning

confidence: 99%

Inverse Design of Aluminium Alloys Using Genetic Algorithm: A Class-Based Workflow

Bhat,

Barnard,

Birbilis

2024

Metals

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“…Industrially, casting and heat treatment processes are important ways to regulate the thermal conductivity and mechanical properties of aluminum alloys [29][30][31]. Chen et al [29] reported that gravity casting Al-Si-Cu-Fe-Zn alloys have higher thermal conductivity than die castings.…”

Section: Introductionmentioning

confidence: 99%

Thermal Conductivity of Aluminum Alloys—A Review

Zhang

2023

Materials

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Aluminum alloys have been extensively used as heatproof and heat-dissipation components in automotive and communication industries, and the demand for aluminum alloys with higher thermal conductivity is increasing. Therefore, this review focuses on the thermal conductivity of aluminum alloys. First, we formulate the theory of thermal conduction of metals and effective medium theory, and then analyze the effect of alloying elements, secondary phases, and temperature on the thermal conductivity of aluminum alloys. Alloying elements are the most crucial factor, whose species, existing states, and mutual interactions significantly affect the thermal conductivity of aluminum. Alloying elements in a solid solution weaken the thermal conductivity of aluminum more dramatically than those in the precipitated state. The characteristics and morphology of secondary phases also affect thermal conductivity. Temperature also affects thermal conductivity by influencing the thermal conduction of electrons and phonons in aluminum alloys. Furthermore, recent studies on the effects of casting, heat treatment, and AM processes on the thermal conductivity of aluminum alloys are summarized, in which processes mainly affect thermal conductivity by varying existing states of alloying elements and the morphology of secondary phases. These analyses and summaries will further promote the industrial design and development of aluminum alloys with high thermal conductivity.

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“…number density of volume fraction) of such precipitates has been associated with achieving enhanced mechanical properties [5][6][7]. Demonstrations of achieving optimised precipitation in Al-alloys have been attained by exploring solute supersaturation, including rapid solidification techniques such as Osprey spray forming process and other powder metallurgical routes [8][9][10]. A practical limit of 12 wt% Zn resulted in strength > 840 MPa, however the wider utilisation of such alloys was restricted due to complexity in processing [8,11].…”

Section: Introductionmentioning

confidence: 99%

Influence of second phase particles on the mechanical properties of a high solute Al-Zn-Mg alloy fabricated through laser powder bed fusion

Babu

Lam

et al. 2022

Journal of Alloys and Compounds

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Precipitation behavior and mechanical properties of Al–Zn–Mg alloy with high Zn concentration

Cited by 34 publications

References 26 publications

Inverse Design of Aluminium Alloys Using Genetic Algorithm: A Class-Based Workflow

Inverse Design of Aluminium Alloys Using Genetic Algorithm: A Class-Based Workflow

Thermal Conductivity of Aluminum Alloys—A Review

Influence of second phase particles on the mechanical properties of a high solute Al-Zn-Mg alloy fabricated through laser powder bed fusion

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