Eddy Current at High Temperatures for in-Situ Control of Heat Treatment Precipitation in Hardening Aluminum Alloys

Diehl, Daniel; Köhler, Carlos Roberto; Schneider, Eduardo Luís; Clarke, Thomas Gabriel Rosauro

doi:10.1109/jsen.2020.3008629

Cited by 5 publications

(4 citation statements)

References 22 publications

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“…One of the characteristics of heat treatment of aluminum [21] is rapid formation of a thin layer of passive oxide of Al2O3 [22][23][24]. The hydrogen bubbles formed in the aluminum microstructure during heat treatment depend on many aspects, such as water vapor pressure [25], solubility [26,27], permeability, diffusivity [28] and activity [28,29].…”

Section: Hydrogen In High Temperature Solid Aluminum Alloysmentioning

confidence: 99%

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Formation of hydrogen blisters during the solution treatment for aluminum alloys

Diehl¹,

Schneider²,

Clarke³

2021

Tecnol. Metal. Mater. Min.

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The solution treatment of aluminum alloys can be restricted by the presence of porosity defects caused by the moisture present in the process or by the hydrated front on the material surface. Hydrogen blisters cause deleterious effects on mechanical properties and surface finish. However, the formation of bubbles in solid aluminum is not caused only by the known reaction 2Al+3H 2 O=3H 2 +Al 2 O 3 , as it does not explain the interaction of the aluminum oxide layer with the formation mechanisms. In addition, the literature approaches show that there is more than one mechanism for the formation of these defects, but no work has made an association between them. Thus, the objective of this work is to carry out extensive research on the state of the art of hydrogen blister formation in aluminum alloys during the solubilization heat treatment. Contemplating different proposed mechanisms of bubble formation on the surface and structure, the analysis of this association of approaches indicated that the mechanisms depend on both permeability, where the hydrated oxide front creates passage for the formation of blister in the sublayer, as well as diffusion and hydrogen solubility in the microstructure.

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Section: Hydrogen In High Temperature Solid Aluminum Alloysmentioning

confidence: 99%

“…The total amount of dissolved hydrogen is determined by pressure of hydrogen and high pressures by its volatility [8,14,15,41]. Hydrogen ions will be present in a significant amount at interstitial lattice locations, grain boundaries and vacancies [21,24].…”

Section: Nucleation and Growth Of Microporositiesmentioning

confidence: 99%

Formation of hydrogen blisters during the solution treatment for aluminum alloys

Diehl¹,

Schneider²,

Clarke³

2021

Tecnol. Metal. Mater. Min.

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“…Diehl et al(44) investigated that electrical conductivity increases significantly at various temperatures and constant times. They observed the removal of foreign atoms from the lattice of the parent alloy during precipitation hardening eliminates much distortion of electron disturbance in the lattice.…”

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confidence: 99%

Prediction and optimization of heat treatment effects on hardness and electrical conductivity of aluminum composite reinforced with nano alumina based on response surface methodology

Rumi¹,

Rahman²

2023

Res. Eng. Struct. Mater.

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“…Up to now, there are two main models in the feld of metal property prediction. One of them is the construction of material constitutive models for material property prediction [3]. Jia et al [4] used experimentally obtained stressstrain data to calculate the material constants involved in the Arrhenius-type constitutive model and the modifed Zerilli-Armstrong (MZA) model.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Mechanical Properties of Aluminium Alloy Strip Using the Extreme Learning Machine Model Optimized by the Gray Wolf Algorithm

Xiong

Zhao

et al. 2023

Advances in Materials Science and Engineering

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Mechanical properties are important indicators for evaluating the quality of strips. This paper proposes a mechanical performance prediction model based on the Gray Wolf Optimization (GWO) algorithm and the Extreme Learning Machine (ELM) algorithm. In the modeling process, GWO is used to determine the optimal weights and deviations of ELM and experiments are used to determine the model’s key parameters. The model effectively avoids manual intervention and significantly improves aluminum alloy strips’ mechanical property prediction accuracy. This paper uses processed data from the aluminum alloy production plant of Shandong Nanshan Aluminum Co., Ltd. as experimental data. When the prediction deviation is controlled within ±10%, the GWO-ELM model can achieve a correct rate of 100% for tensile strength, 97.5% for yield strength, and 77.5% for elongation on the test set. The RMSE of the tensile strength, yield strength, and elongation of the GWO-ELM model was 5.365, 11.881, and 1.268, respectively. The experimental results show that the GWO-ELM model has higher accuracy and stability in predicting aluminum alloy strips’ tensile strength, yield strength, and elongation. The GWO-ELM model effectively avoids the defects of the traditional model. It has a special guiding significance for producing aluminum alloy strips.

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Eddy Current at High Temperatures for in-Situ Control of Heat Treatment Precipitation in Hardening Aluminum Alloys

Cited by 5 publications

References 22 publications

Formation of hydrogen blisters during the solution treatment for aluminum alloys

Formation of hydrogen blisters during the solution treatment for aluminum alloys

Prediction and optimization of heat treatment effects on hardness and electrical conductivity of aluminum composite reinforced with nano alumina based on response surface methodology

Prediction of Mechanical Properties of Aluminium Alloy Strip Using the Extreme Learning Machine Model Optimized by the Gray Wolf Algorithm

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