Influence of Artificial Aging on Mechanical Properties and High Stress Abrasive Wear Behaviour of Al–Mg–Si Alloy

Sekhar, Aluru Praveen; Das, Debdulal

doi:10.1007/s12540-019-00399-9

Cited by 9 publications

(3 citation statements)

References 74 publications

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“…Te volume loss rises in the limits of 80 to 120 mm/s, then falls in the range of 110 mm/s and above (except for AA6063 under the load of 15 N). Surface hardness enhances wear behavior by decreasing contact area, and strain rate and surface hardness increase with increased sliding speed [37].…”

Section: Wear Test and Hardness Resultsmentioning

confidence: 99%

Investigation of the Wear Behavior of AA6063/Zirconium Oxide Nanocomposites Using Hybrid Machine Learning Algorithms

Roy

Shanmugam

Vinothini

et al. 2023

Journal of Chemistry

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This research created hot-pressed composites of the AA6063 matrix with varying concentrations of ZrO2 (0.25, 0.5, and 1 wt %). At sliding speeds of 80, 120, and 150 mm/s, the wear performance of the specimen was studied at loads of 10 N, 15 N, 20 N, and 25 N. The authors analyzed the counter-face material, the wear debris, and the worn surfaces to learn about the wear mechanisms. Developing these three machine learning (ML) algorithms was to evaluate the ability to predict wear behavior using the same small dataset collected using varying test processes. A thorough examination of each model hyperparameter tuning phase was performed. The predictive performance was analyzed using several statistical tools. The most effective decision-making algorithms for this data collection were those based on trees. Predictions made by the decision tree algorithm for the test and validation measurements have an accuracy of 86% and 99.7%, respectively. The best model was picked out based on the results of the predictions.

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Section: Wear Test and Hardness Resultsmentioning

confidence: 99%

Investigation of the Wear Behavior of AA6063/Zirconium Oxide Nanocomposites Using Hybrid Machine Learning Algorithms

Roy

Shanmugam

Vinothini

et al. 2023

Journal of Chemistry

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“…For the heattreated Al-Cu-Mg-Si-Ti part, a high number density of nanosized S' and Q' with larger sizes compared to the as-built part precipitates during the aging process, as shown in the magnified images in figure 10, which hinders the movement of dislocations and thus significantly increases the microhardness [42,48]. The high microhardness of the aging heat-treated sample offers great resistance to the penetration behavior of the counterpart ball and to the scratching of oxide abrasives on the worn surface [49]. Therefore, under the same applied load, the aging heat-treated Al-Cu-Mg-Si-Ti alloy presents better wear resistance than the as-built sample.…”

Section: Wear Mechanismmentioning

confidence: 99%

Nanoprecipitates enhanced wear resistance of laser powder bed fusion-processed high-strength Al−Cu−Mg−Si−Ti alloy

WANG¹,

Mansori²,

Hadrouz³

et al. 2023

Surf. Topogr.: Metrol. Prop.

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Solidification cracking during laser powder bed fusion (LPBF) and poor wear resistance of high-strength aluminum alloys hinder their application in aerospace and automotive fields. In the present work, a novel defect-free Al-Cu-Mg-Si-Ti alloy was manufactured by LPBF. The densification behavior research shows that the threshold value to manufacture the full-density Al-Cu-Mg-Si-Ti alloy by LPBF is a volumetric energy density (VED) of 141.7 J/mm3. The LPBF processed sample shows a heterogeneous microstructure consisting of ultrafine equiaxed grains and columnar grains. Dry sliding tests indicate that the wear rate of the as-built samples is 3.9 ± 0.4 × 10-5 cm3/m with dominant abrasive wear under an applied load of 2.1 N. At an applied load of 24 N, the wear mechanism transforms to severe delamination and abrasion with a high wear rate of 42.1 ± 0.1 × 10-5 cm3/m. After the aging treatment, the size and number density of nanosized S’ and Q’ precipitated phases increase significantly, which results in an increased hardness and better wear resistance.

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“…However, the common Al-Zn-Mg-Cu alloy cannot meet the requirements of corrosion resistance in some important aerospace parts. Therefore, the distribution and size of precipitates can be adjusted by heat treatment and severe plastic deformation (SPD) to improve the mechanical properties and corrosion resistance of the alloy [3,[6][7][8]. During the solution-ageing heat treatment of 7xxx series aluminium alloys, the precipitation sequence of precipitates is generally solid solution -GP zone -metastable η -stable η [9].…”

Section: Introductionmentioning

confidence: 99%

Effect of ageing on precipitation evolution and corrosion behaviour of Al–Zn–Mg–Cu alloy

Sun

et al. 2023

Materials Science and Technology

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The Al–Zn–Mg–Cu alloy was subjected to 4 passes equal channel angular pressing (ECAP) at 400°C, followed by different solutions and ageing treatments. The size, type and distribution of precipitates in aluminium matrix are different in different ageing treatments. In single-stage ageing, a large number of η′ precipitates and Guinier-Preston-II (GP-II) zones are generated in the aluminium matrix. The precipitates are mainly MgZn2 ( η) precipitates and η′ precipitates during the double-stage ageing. The size and type of precipitates in three-stage ageing are similar to those in two-stage ageing. Simultaneously, the single-stage ageing sample has poor corrosion resistance and good hardness. Two-stage ageing and three-stage ageing samples have better corrosion resistance, but their hardness is lower than that of single-stage ageing.

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Influence of Artificial Aging on Mechanical Properties and High Stress Abrasive Wear Behaviour of Al–Mg–Si Alloy

Cited by 9 publications

References 74 publications

Investigation of the Wear Behavior of AA6063/Zirconium Oxide Nanocomposites Using Hybrid Machine Learning Algorithms

Investigation of the Wear Behavior of AA6063/Zirconium Oxide Nanocomposites Using Hybrid Machine Learning Algorithms

Nanoprecipitates enhanced wear resistance of laser powder bed fusion-processed high-strength Al−Cu−Mg−Si−Ti alloy

Effect of ageing on precipitation evolution and corrosion behaviour of Al–Zn–Mg–Cu alloy

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