A correlation between microstructure and residual stress in the 6061 Al–Mg–Si alloy with different thermomechanical process Article Swipe

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Mariana X. Milagre , Margareth K.K.D. Franco , Frederico A. Genezini , Robert C. Wimpory , Fabiano Yokaichiya , Isolda Costa ·

YOU? · · 2020 · Open Access · · DOI: https://doi.org/10.1007/s42452-020-03945-y

Related Topics

Residual Stress

Materials Science

Alloy

Ultimate Tensile Strength

$Diffraction$

Artificial Intelligence

Computer Science

Optics

Concepts

Residual stress Materials science Alloy Ultimate tensile strength Microstructure Thermomechanical processing Texture (cosmology) Neutron diffraction Metallurgy Composite material Indentation hardness Grain size Diffraction Image (mathematics) Physics Artificial intelligence Computer science Optics

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Type: article
Language: en
Landing Page: https://doi.org/10.1007/s42452-020-03945-y
PDF: https://link.springer.com/content/pdf/10.1007/s42452-020-03945-y.pdf
OA Status: bronze
Cited By: 10
References: 41
Related Works: 10
OpenAlex ID: https://openalex.org/W3108546835

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DOI: https://doi.org/10.1007/s42452-020-03945-y

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Title: A correlation between microstructure and residual stress in the 6061 Al–Mg–Si alloy with different thermomechanical process

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Type: article

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Language: en

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Publication year: 2020

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Publication date: 2020-11-28

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Authors: Mariana X. Milagre, Margareth K.K.D. Franco, Frederico A. Genezini, Robert C. Wimpory, Fabiano Yokaichiya, Isolda Costa

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Landing page: https://doi.org/10.1007/s42452-020-03945-y

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Concepts: Residual stress, Materials science, Alloy, Ultimate tensile strength, Microstructure, Thermomechanical processing, Texture (cosmology), Neutron diffraction, Metallurgy, Composite material, Indentation hardness, Grain size, Diffraction, Image (mathematics), Physics, Artificial intelligence, Computer science, Optics

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Cited by: 10

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Citations by year (recent): 2025: 1, 2024: 3, 2023: 3, 2022: 2, 2021: 1

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References (count): 41

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Related works (count): 10

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