Study on properties and precipitation behavior of 6000 series alloys with high Mg/Si ratios and Cu contents-Reference-Cited by-同舟云学术

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Study on properties and precipitation behavior of 6000 series alloys with high Mg/Si ratios and Cu contents

Published:2022-12 Issue: Volume:194 Page:112402
ISSN:1044-5803
Container-title:Materials Characterization
language:en
Short-container-title:Materials Characterization

Author:

Zang Ruojin,Ning Yaru,Ding Lipeng,Jia Zhihong,Xiang Kaiyun,Liu Qing,Cao Lingfei,Li Yanjun

Funder

Natural Science Foundation of Jiangsu Province

Natural Science Research of Jiangsu Higher Education Institutions of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,General Materials Science

Reference41 articles.

1. Recent development in aluminium alloys for the automotive industry;Miller;Mater. Sci. Eng. A,2000

2. Aluminium in innovative light-weight car design;Hirsch;Mater. Trans.,2011

3. Recent development in aluminium for automotive applications;Hirsch;Trans. Nonferrous Metals Soc. China,2014

4. Pre-precipitate clusters and precipitation processes in Al–Mg–Si alloys;Murayama;Acta Mater.,1999

5. Modelling of the age hardening behaviour of Al-Mg-Si alloys;Myhr;Acta Mater.,2001

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1. Deformation-mediated cyclic evolution of precipitates in Al-Mg-Si-Cu alloy by multi-pass ECAP and thermal treatments;Journal of Materials Science & Technology;2025-04

2. Atomic structure of GPB-II zone and its evolution in an Al-Zn-Mg-Cu-Si crossover alloy during aging;Materials Characterization;2024-09

3. Influence of Mg and Cu on precipitation behaviors and mechanical properties of Al–Si alloys;Materials Science and Engineering: A;2024-08

4. Study on the structural transformation of 6xxx composite four-layer aluminum alloy sheet during brazing and artificial aging and its influence on strengthening and corrosion behavior;Corrosion Science;2024-04

5. Simultaneous enhancement in mechanical and corrosion properties of Al-Mg-Si alloys using machine learning;Journal of Materials Science & Technology;2023-12

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