Investigating the influences of Fe, Mn and Mo additions on the evolution of microstructure and mechanical performances of Al–Si–Mg cast alloys

Zou, Jing; Zhang, Haitao; Yu, Chuang; Wu, Zibin; Guo, Cheng; Nagaumi, Hiromi; Zhu, K. J.; Li, Baomian; Chen, Jianzhong

doi:10.1016/j.jmrt.2023.05.234

Cited by 13 publications

(2 citation statements)

References 43 publications

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“…The increasing demand to produce lightweight and durable automotive parts has a significant effect on the selection of materials. Al-Si-Mg alloys are considered to be excellent candidate materials for automotive applications, because of their high strength-to-weight ratio, good castability and good corrosion resistance [1]. However, the microstructure and mechanical properties of as-cast components largely depends on casting and heat treatment processes.…”

mentioning

confidence: 99%

“…The results show that homogenization of microstructure, fragmentation and spheroidization of eutectic Si and fine precipitates after heat treatment improve the mechanical properties of alloys. However, the fraction, distribution and morphology of the common intermetallic compounds (especially the iron-rich intermetallics) during semi-solid forming process, which may result in inferior mechanical properties [1], are less investigated.…”

mentioning

confidence: 99%

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Microstructure, Segregation and Mechanical Properties of A356 Alloy Components Fabricated by Rheo-Hpdc Combined with the Swirled Enthalpy Equilibration Device (Seed) Process

Xiang

Li³

et al. 2023

Preprint

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confidence: 99%

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confidence: 99%

Microstructure, Segregation and Mechanical Properties of A356 Alloy Components Fabricated by Rheo-Hpdc Combined with the Swirled Enthalpy Equilibration Device (Seed) Process

Xiang

Li³

et al. 2023

Preprint

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Microstructure Evolution and Frictional Wear Behavior of Al–18Si–4Mg–2Mn–0.5Fe–xCu Alloys Fabricated by Laser Additive Manufacturing

Yang,

Wang,

Wang

et al. 2024

Adv Eng Mater

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The microstructure evolution, corrosion resistance, and wear resistance of Al‐18Si‐4Mg‐2Mn‐0.5Fe‐xCu (x= 0,1,2,3,4,5 wt.%) alloys prepared by laser additive manufacturing (LAM) process were studied. It is found that the addition of Cu not only produces Cu‐rich strengthened phase, but also promotes the precipitation of the second phase. With the addition of Cu, the corrosion resistance of the alloy decreases, which is due to the increase of potential difference caused by the increase of the strengthening phase. The addition of Cu can effectively inhibit corrosion cracking. The hardness and wear resistance of the alloy increased with the increase of Cu content under the synergistic strengthening of the Q‐Al5Cu2Mg8Si6 phase and Al2Cu phase. When the Cu content is 3wt.%, the hardness and wear resistance of the alloy are the best. However, with the increase of Cu content, part of the Q phase is transformed into the Al2Cu phase, and this synergistic strengthening effect is weakened, and the hardness and wear resistance of the alloy are reduced, but still higher than that of the alloy without Cu addition, which indicates that the addition of Cu can effectively improve the hardness and wear resistance of the alloy.This article is protected by copyright. All rights reserved.

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Viscosity Calculation for Al–Si–Mg–Fe System through CALPHAD Method

Fu,

Luo,

Liu

et al. 2024

Adv Eng Mater

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Viscosity is a crucial parameter affecting the fluidity of metal melts, which directly influences the founding properties of Al alloys. However, obtaining viscosity measurement data is difficult for metal melts, and the viscosity prediction for ternary and multicomponent alloys would provide the significant data for the selection of process parameters. This study compares the applicability of the Hirai model, SDS model, and R‐K function for viscosity calculations in the sub‐binary systems of Al–Si–Mg–Fe alloys. R‐K function shows the best agreement with experimental data. However, the SDS model shows lower relative error than Hirai model, which would play an important role in those systems lacking experimental data to predict the viscosities. Ultimately, a database capable of predicting viscosity values for the entire composition and temperature range of the Al–Si–Mg–Fe system is established using the CALPHAD method. Viscosity parameters for Al–Si, Al–Mg, Al–Fe, Mg–Si, and Mg–Fe are evaluated and optimized through the R‐K derivation, corroborated with existing experimental data. Using the R‐K function, successful extrapolation and prediction of viscosity for the Al–Si–Mg–Fe ternary and quaternary systems are achieved, with a mean square error between predicted and experimental values of only 0.7%, demonstrating the successful application of the Al–Si–Mg–Fe database for viscosity prediction.

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Investigating the influences of Fe, Mn and Mo additions on the evolution of microstructure and mechanical performances of Al–Si–Mg cast alloys

Cited by 13 publications

References 43 publications

Microstructure, Segregation and Mechanical Properties of A356 Alloy Components Fabricated by Rheo-Hpdc Combined with the Swirled Enthalpy Equilibration Device (Seed) Process

Microstructure, Segregation and Mechanical Properties of A356 Alloy Components Fabricated by Rheo-Hpdc Combined with the Swirled Enthalpy Equilibration Device (Seed) Process

Microstructure Evolution and Frictional Wear Behavior of Al–18Si–4Mg–2Mn–0.5Fe–xCu Alloys Fabricated by Laser Additive Manufacturing

Viscosity Calculation for Al–Si–Mg–Fe System through CALPHAD Method

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