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The effect of theartificial aging on the precipitation kinetic in the Al-Mg-Si alloy

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The effect of theartificial aging on the precipitation kinetic in the Al-Mg-Si alloy

I. Hamdi1.a. Z. Boumerzoug2.b.

1)Department of Chemical Industry, University of Biskra, Biskra, Algeria.

2)LMSM, Department of Mechanical Engineering, University of Biskra, Biskra, Algeria e-mail:[email protected]

Keywords:Al-Mg-Si, precipitation,β″, kinetic, DSC.

Abstract:

In this study, the effect of the artificial aging on the kinetics of the precipitation processes in the Al-Mg-Si alloy was investigated by differential scanning calorimetry and hardness examinations.This investigation revealed that the artificial aging has apositive effect on the precipitation kinetic.The activation energy of the precipitation process was calculated using Kissinger model. The result of this studyshowed a change in hardness values and in the activation energy for all precipitated phases. The hardness have high values at the higher aging temperature. The activation energy of the metastable phase β″ is determined as 41.55, which indicate that the formation of this phase isuncomplicatedduring artificial aging.

Introduction:

The 6000 series Al-Mg-Si alloys are the commercially most frequently used Al-based alloys since they can be age-hardened to medium strength while also having many other favourable properties[1]: excellent corrosion resistance; favorable formability and low density; and are widely used in both cast and wrought forms. The precipitation hardening is a process that involves a particulate dispersion of obstacles to dislocation movements in alloys resulting in strengthening the alloy component. The precipitation sequence duringaging at constant temperature of quenched Al-Mg-Si alloys can be expressed as: Supersaturated solid solution (SSSS) → atomic clusters → G.P. zones →β″→ β′→ β (stable)[2, 3].

The β″ precipitates are fine needleshapedzones with monoclinicstructure [4], it is the main strengthening phase in Al-Mg-Si alloys [5].

In recent years, many researchers [6]were focused on the kinetics parameters in Al-Mg-Si during artificial aging due to the great importance of understanding the phase transformation mechanisms.

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The aim of this study is to clarifythe effect of the artificial aging on the kinetics of the precipitation processes in the Al-Mg-Si alloy by means of hardness measurement and DSC as analysis technique.

Experimental

Table 1: Chemical composition of investigated Al-Mg-Si alloy.

Elements Al Mg Si Cu Fe

at.% 98.45 0.653 0.595 0.014 0.215

The composition of the materials used is shown in table 1. DSC test were carried outusing a Q 20 TA analyzer. The samples for the DSC measurements were cut fromrods with 3 mm diameter and 2-2.5 mm height. The resulting weight is between30 and 50 mg. They were homogenizedat 550°C for 6h and quenched in water.Each sample was processed with three different heating rates (25, 30 and 40°C/min) from room temperature to 550°C in N2

atmosphere.

Micro-Vickers hardnessmeasurements are taken by Digital Micro-Vickers Hardness Tester type HVS -1000 Z under load of200 g. Each hardness value is the average value from five individual tests. The specimens for the Vickershardness measurementswere alsohomogenized at 550°C for 6h and quenched in waterbefore artificial aging treatment at 150,175 and 200°C for different times.

Results and discussion Hardness measurement

Figure 1shows the Vickers hardness measurements of a quenched Al-Mg-Si alloyaging at 150,175 and 200°C. All the curves exhibited the similar hardening sequence. The initial stage corresponds to the formation of the GP zonesand the maximum hardening is corresponding to the formation of β″ phase. The hardness values during artificial aging at 200°C are higher than that in artificial aging at 150 and 175°C. But the time of the phase’sformation decrease.

After quenching of the sample, the clusters start to form and grow which slow down the vacancies and consequently rate of clustering will decrease. Higher aging temperature increase the different of vacancies and solute atoms. This should result in a faster kinetics of clustering. So the increase of the temperature accelerates the formation of the precipitate which has a positive effect on the precipitation kinetics [7, 8].

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100 1000 10000 60

65 70 75 80 85 90 95 100 105 110 115 120 125

HV

t(min)

a b c

Fig. 1Hardness variation versus aging time of a quenched Al-Mg-Si alloy aging at a)150°C b) 175°C and c) 200°C.

DSC tests

Figure 2 shows the DSC thermo-grams of the quenched alloy during differentheating rate (25, 30 and 40°C/min). DSC curves show four exothermic peaks which correspond to the formation of GP zones (peakA), β″ (peak C), β′ (peak E) and β (peak G), and four endothermic peaks (B, D, F and H) which correspond to the dissolution of GP zones, the metastable phase β″, β′and the stable phaseβrespectively. The main precipitation peaks increase and shift to higher temperatureswith the decrease of heating rate, which means that this transformation is thermallyactivated.

The activation energy for precipitation, E, is determined by Kissinger [9] method of the four exothermic peaks detected in figure 1. This method was basically developed inorder to study the variation of the maximum peak temperature with heating rateaccording to the following expression:

ln = − + Kissinger equation (1)

Whereα is the heating rate, Tp is the temperature of the peak maximum , and Ris the gas constant (8.314 J mol-1 K-1).

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Fig. 2. DSC curves of quenched Al Mg Si alloy at different heating rates: (a) α = 25

°C/min, (b) α = 30 °C/min and (c) α = 40 °C/min.

Table 2. The value of activation energy E(KJ/mol)

Phase GP β″ β′ β

l’énergied’activation

(KJ/mol) 66.894 41.555 143.059 62.845

The activation energy associated with the formation of the GP zones is found 66.894KJ/mol.

These value is found close to that for the migration vacancies.

The activation energy associated with the precipitation of the β″ phase is found 143.059 KJ/mol. This value is found close to the diffusion energies of Mg, Si and Alwhich have the following values (131 kJ mol−1) [10] and (124 kJ mol−1) [11] respectively. Therefore, these precipitation process can be controlled by the diffusion of Mg, and Si in the Al matrix.

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Theactivationenergiesobtained for the GP zones, β″andthe βformationin the Al-Mg-Si alloy during artificial agingarehigherthanthevalue of theβ″ formation. Itindicatethat the artificial aging haveinfluence ontheformationof the metastable phaseβ″.

Conclusion

In this work, the effect of the artificial aging on the kinetics of the precipitation processes in the Al-Mg-Si alloy was have been studied by using differential scanning calorimetry and hardness examinations.The following conclusions can be drawn:

 The hardness values of the precipitation phases decrease with the decrease of the temperature.

 The artificial aging improves the strength of the Al Mg Si alloy.

 The artificial aging have a positive effect on the precipitation kinetics.

 The activation energy for the GP zones, β″, β′ and the β is determinate as 66.894, 41.555143.059, 62.845 KJ/mol respectively.

 During artificial aging, the durssisant phase β″ was formed

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References

[1] J. Banhart, C. S. Ting Chang, Z. Liang, N. Wanderka, M. D.H. Lay, A. J. Hill, Advanced Engineering Materials 12(7) 559-571 (2010).

[2] G. J. Thomas,, J. Inst. Met. 90 pp. 57-63.(1961-62).

[3] K. Matsuda, Y. Ishida, I. Mϋllerová, L. Frank, S. Ikeno, Mater. Sci. 41 pp. 2605- 2610(2006).

[4]M. Liua, , Z. Wua, R. Yanga, J. Weia, Y. Yub, P. Skaretb, and J. Rovenb Hans, Progress in Natural Science: Materials International, 25, pp.153–158,(2015).

[5]S. Hossein, Mc master university, p 95,2007.

[6] S. Wenner,Transmission Microscopy and Muon Spin PHD, Norwegian university of science and technology, (2014).

[7]C. Panseri, T. Federighi and S. Cersare,Transmis of Metallurgical Society of AIME, 227, pp 1122-1126, (1963).

[8] E. Ozawa and H. Kimura, ActaMetallufgica, vol. 18 pp. 995-1004, (1970).

[9]Kissinger, H.E. , Anal. Chem. 29,pp.1702.(1957)

[10] Abo Zeid, E. F., Kim, Y. T., Mater. Sci. Technol. 26, pp. 440-444,(2010).

[11] A. Gaber, R. S.Yassar, D. P. Field and H. Weiland, Metall. And Mater. Trans. 36, pp.2059-265 (2005).

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