Microstructure analysis of 7050 aluminum alloy processed by multistage aging treatments

Carvalho, André Luís Moreira de; Renaudin, Luiz Baliski; Zara, A. J.; Martins, Jairo Aparecido

doi:10.1016/j.jallcom.2022.164400

Cited by 31 publications

(13 citation statements)

References 56 publications

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“…These endothermic phenomena were caused by dissolution of GP zones and η′ precipitates during heating [13,24]. Peak 2 was caused by the formation of η precipitates [13]. The DSC curves reflect the evolution law of the precipitates in the Al 7050 alloy.…”

Section: Discussionmentioning

confidence: 90%

“…After the FA, the obvious endothermic peaks from 137.8 °C-204.1 °C, 148.35 °C-203.2 °C, and 152.94 °C-209.9 °C (peak 1) were observed in 26#, N#, and C# samples, respectively. These endothermic phenomena were caused by dissolution of GP zones and η′ precipitates during heating [13,24]. Peak 2 was caused by the formation of η precipitates [13].…”

Section: Discussionmentioning

confidence: 99%

“…The DSC curves reflect the evolution law of the precipitates in the Al 7050 alloy. The η′ precipitates dissolved during heating, and more stable η phases will precipitate at higher temperatures [13].…”

Section: Discussionmentioning

confidence: 99%

“…The η precipitates (MgZn2) are non-coherent equilibrium phases with hexagonal structures and have low strengthening effects. High density η′ phases confer high strengths to this series of aluminum alloys during peak aging treatment [5,7,13,14]. After solution treatment and cold deformation, the tensile strength of Al 7050 alloy increased by more than 20% after peak aging [15].…”

Section: Introductionmentioning

confidence: 99%

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Effect of precipitates evolution on mechanical properties of Al 7050 alloy during secondary aging

Wang

Ren

et al. 2023

Mater. Res. Express

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The microstructure and mechanical properties were investigated in Al 7050 alloy after aging treatments. Results showed that refining the η′ precipitates and increasing the proportion of the η′ precipitates significantly improved its mechanical properties. High density dislocations created by cold deformation promoted the nucleation of the main strengthening η′ phase during aging. High-density fine precipitates was created, which increases the yield strength. However, the strength of the deformed sample decreased by ~31.6 % after the secondary aging at 157 °C, with more degradation than other samples. Microstructure study presented that some precipitates were composed of two distinctive areas. An in-situ transformation from a simple triclinic Mg2Zn3 to the η phase (MgZn2) was observed during the secondary aging. The loss in strength after secondary aging at 157 °C proved that the η′ precipitates transformed into the η precipitates by absorbing solute atoms at a temperature lower than equilibrium precipitation temperature of η precipitates. The residual high-density dislocations in the cold-deformed samples promoted the diffusion of solute atoms, which accelerated the η′→η transformation during the secondary aging. Significant reduction in the volume of η′ precipitations led to the rapid deterioration of mechanical properties.

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Section: Discussionmentioning

confidence: 90%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Effect of precipitates evolution on mechanical properties of Al 7050 alloy during secondary aging

Wang

Ren

et al. 2023

Mater. Res. Express

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“…7050 aluminum alloy has excellent overall performance and is widely used in aerospace and other fields [1][2][3], mostly as the main structural parts. The microstructure of aluminum alloys will significantly impact the cutting process, which affects the cutting surface integrity [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Study on the surface integrity of 7050 aluminum alloy with different crystal orientations during high-speed machining

Zong

et al. 2022

Int J Adv Manuf Technol

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This paper investigates the effect of crystal orientations and machining parameters on the surface integrity of 7050 aluminum alloy in high-speed machining. Three groups of pre-compression deformations (10%, 15%, and 20%) are performed on the aluminum alloy to fabricate specimens with different crystal orientations. A single-factor dry cutting experiment was designed, and the surface roughness, surface morphology and defects, work hardening, and X-ray diffraction (XRD) were tested. The results show that the 15% pre-deformed 7050 aluminum alloy specimen had lower surface roughness and the best surface quality under the same cutting parameters. The surface roughness of 7050 aluminum alloy with different crystal orientations tended to first increase and then decrease with the increase of the cutting speed, and the surface roughness was positively correlated with the cutting depth and feed rate. Under different cutting parameters, the machined surfaces of 7050 aluminum alloy specimens with different crystal orientations exhibited different degrees of plowings, apophysis, sticky chips and pits. Moreover, the degree of work hardening of the 15% pre-deformed 7050 aluminum alloy specimen was small, while that of the 20% predeformed specimen was more serious. XRD analysis demonstrated that the diffraction peak width of the 10% pre-deformed 7050 aluminum alloy specimen slightly increased with the increase of the cutting depth. Moreover, the (111) and ( 200) diffraction peak intensities of the 15% pre-deformed 7050 aluminum alloy specimen increased with the increase of the cutting speed, and there was no obvious Al 2CuMg phase on the machined surface of the 20% pre-deformed specimen.

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Machine Learning‐Based Strength Prediction for Two‐Stage Aged 7050 Aluminum Alloy Forgings in Aircraft Main Support Joints

Liu,

Qian,

Huang

et al. 2024

Adv Eng Mater

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Aluminum alloys, widely regarded as lightweight structural materials, are extensively used in the aerospace industry. The aging process is essential for reducing residual stresses and ensuring alloys quality. Traditional methods for optimizing aging are often time‐consuming and expensive. In contrast, machine learning (ML) accelerates material design and performance prediction, significantly minimizing the need for extensive experimentation. In this study, the 7050 aluminum alloy forgings in aircraft main support joints are selected as the research object. A forward prediction model is developed using common ML algorithms, incorporating two‐stage aging process parameters and microstructural features as inputs, with yield strength (YS) and ultimate tensile strength (UTS) as outputs. The results demonstrate that the extreme gradient boosting regression model is the most effective for predicting the strength of aluminum alloys, with R2 values exceeding 0.7. By the Shapley additive explanation (SHAP) method and microscopic morphology analysis, the second‐stage aging time (t2) significantly influences YS and UTS. Hence, t2 was selected as the output for constructing the reverse classification model. The support vector machine classification model exhibits optimal performance, attaining macro‐accuracy and macro‐recall rates of 0.91 and 0.90, respectively.

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Microstructure analysis of 7050 aluminum alloy processed by multistage aging treatments

Cited by 31 publications

References 56 publications

Effect of precipitates evolution on mechanical properties of Al 7050 alloy during secondary aging

Effect of precipitates evolution on mechanical properties of Al 7050 alloy during secondary aging

Study on the surface integrity of 7050 aluminum alloy with different crystal orientations during high-speed machining

Machine Learning‐Based Strength Prediction for Two‐Stage Aged 7050 Aluminum Alloy Forgings in Aircraft Main Support Joints

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