Advertisement

Journal of Materials Science

, Volume 54, Issue 13, pp 9843–9856 | Cite as

Correlation between homogenization treatment and subsequent hot extrusion of Al–Mg–Si alloy

  • Shengwei Yuan
  • Liang ChenEmail author
  • Jianwei Tang
  • Guoqun Zhao
  • Cunsheng Zhang
  • Junquan Yu
Metals
  • 51 Downloads

Abstract

The homogenization treatment was conducted on an Al–Si–Mg alloy at various temperatures or holding times, and the subsequent hot extrusion experiments were carried out to clarify the correlation between homogenization conditions and the extruded microstructure. The results showed that the grain size of the as-cast billets was not affected by homogenization, while the coarse δ-Al(FeMnCr)Si particles dissolved and transformed into fine α-Al(FeMnCr)Si particles with a spherical shape. Moreover, during homogenization, the AlCuMgSi and Mg2Si phases completely dissolved into the Al matrix, and a large number of fine Mn-containing dispersoids precipitated. With increasing homogenization temperature or time, the extruded grains clearly became coarser, and the quantity of intermetallic particles continuously decreased. Notably, it was observed that the Mg2Si phase reprecipitated during the hot extrusion. Only the deformation textures existed in the alloy extruded from the billet homogenized at high temperature (570 °C) for long time (14 h), while both the deformation and recrystallization textures were found in other specimens. The homogenized billets exhibited a higher hardness and a better electrical conductivity than those of the as-cast billet, while the hardness was decreased and the electrical conductivity was improved after extrusion. Overall, both the tensile strength and elongation of the extruded alloys increased with increasing homogenization temperature or holding time. However, if the homogenization is performed at high temperature for long time, the strength of the extruded alloy is dramatically decreased.

Notes

Acknowledgements

The authors would like to acknowledge the financial support from the National Natural Science Foundation of China (U1708251), Key Research and Development Program of Shandong Province (2018GGX103041), China Postdoctoral Science Foundation (2018T110686) and the Young Scholars Program of Shandong University (2018WLJH26).

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

References

  1. 1.
    Meyruey G, Massardier V, Lefebvre W, Perez M (2018) Over-ageing of an Al–Mg–Si alloy with silicon excess. Mater Sci Eng A 730:92–105CrossRefGoogle Scholar
  2. 2.
    Majchrowicz K, Pakieła Z, Chrominski W, Kulczyk M (2018) Enhanced strength and electrical conductivity of ultrafine-grained Al–Mg–Si alloy processed by hydrostatic extrusion. Mater Charact 135:104–114CrossRefGoogle Scholar
  3. 3.
    Wang W, Pan Q, Sun Y, Wang X, Li A, Song W (2018) Study on hot compressive deformation behaviors and corresponding industrial extrusion of as-homogenized Al–782Zn–196Mg–235Cu–011Zr alloy. J Mater Sci 53:11728–11748.  https://doi.org/10.1007/s10853-018-2388-z CrossRefGoogle Scholar
  4. 4.
    Xu X, Yang Z, Ye Y, Wang G, He X (2016) Effects of various Mg/Si ratios on microstructure and performance property of Al–Mg–Si alloy cables. Mater Charact 142:114–119CrossRefGoogle Scholar
  5. 5.
    Dong Y, Zhang C, Zhao G, Guan Y, Gao A, Sun W (2016) Constitutive equation and processing maps of an Al–Mg–Si aluminum alloy: determination and application in simulating extrusion process of complex profiles. Mater Des 92:983–997CrossRefGoogle Scholar
  6. 6.
    Valiev RZ, Murashkin MY, Sabirov I (2014) A nanostructural design to produce high-strength Al alloys with enhanced electrical conductivity. Scr Mater 76:13–16CrossRefGoogle Scholar
  7. 7.
    Nadella R, Eskin DG, Du Q, Katgerman L (2008) Macrosegregation in direct-chill casting of aluminium alloys. Prog Mater Sci 53:421–480CrossRefGoogle Scholar
  8. 8.
    Yan LZ, Zhang YA, Li XW, Li ZH, Wang F, Liu HW, Xiong BQ (2014) Microstructural evolution of Al–066Mg–085Si alloy during homogenization. Trans Nonferrous Met Soc China 24:939–945CrossRefGoogle Scholar
  9. 9.
    Panigrahi SK, Jayaganthan R (2008) A study on the mechanical properties of cryorolled Al–Mg–Si alloy. Mater Sci Eng A 480:299–305CrossRefGoogle Scholar
  10. 10.
    Birol Y (2004) The effect of homogenization practice on the microstructure of AA6063 billets. J Mater Process Technol 148:250–258CrossRefGoogle Scholar
  11. 11.
    Bayat N, Carlberg T, Cieslar M (2017) In-situ study of phase transformations during homogenization of 6005 and 6082 Al alloys. J Alloys Compd 725:504–509CrossRefGoogle Scholar
  12. 12.
    Zhou J, Duszczyk J, Korevaar BM (1991) As-spray-deposited structure of an Al–20Si–5Fe Osprey preform and its development during subsequent processing. J Mater Sci 26:5275–5291.  https://doi.org/10.1007/BF01143222 CrossRefGoogle Scholar
  13. 13.
    Fan X, Jiang D, Meng Q, Zhong L (2006) The microstructural evolution of an Al–Zn–Mg–Cu alloy during homogenization. Mater Lett 60:1475–1479CrossRefGoogle Scholar
  14. 14.
    Birol Y (2013) Optimization of homogenization for a low alloyed AlMgSi alloy. Mater Charact 80:69–75CrossRefGoogle Scholar
  15. 15.
    Wu Y, Xiong J, Lai R, Zhang X, Guo Z (2009) The microstructure evolution of an Al–Mg–Si–Mn–Cu–Ce alloy during homogenization. J Alloys Compd 475:332–338CrossRefGoogle Scholar
  16. 16.
    Mrówka-Nowotnik G, Sieniawski J (2005) Influence of heat treatment on the microstructure and mechanical properties of 6005 and 6082 aluminium alloys. J Mater Process Technol 162–163:367–372CrossRefGoogle Scholar
  17. 17.
    Zhao Q, Qian Z, Cui X, Wu Y, Liu X (2016) Influences of Fe, Si and homogenization on electrical conductivity and mechanical properties of dilute Al–Mg–Si alloy. J Alloys Compd 666:50–57CrossRefGoogle Scholar
  18. 18.
    Österreicher JA, Kumar M, Schiffl A, Schwarz S, Bourret GR (2017) Secondary precipitation during homogenization of Al–Mg–Si alloys: influence on high temperature flow stress. Mater Sci Eng A 687:175–180CrossRefGoogle Scholar
  19. 19.
    Hu R, Ogura T, Tezuka H, Sato T, Liu Q (2010) Dispersoid formation and recrystallization behavior in an Al–Mg–Si–Mn Alloy. J Mater Sci Technol 26:237–243CrossRefGoogle Scholar
  20. 20.
    Yang W, Ji S, Li Z, Wang M (2015) Grain boundary precipitation induced by grain crystallographic misorientations in an extruded Al–Mg–Si–Cu alloy. J Alloys Compd 624:27–30CrossRefGoogle Scholar
  21. 21.
    Aytaç A, Daşçılar B, Usta M (2011) The effect of extrusion speed on the structure and corrosion properties of aged and non-aged 6063 aluminum alloy. Mater Chem Phys 130:1357–1360CrossRefGoogle Scholar
  22. 22.
    Güzel A, Jäger A, Parvizian F, Lambers HG, Tekkaya AE, Svendsen B, Maier HJ (2012) A new method for determining dynamic grain structure evolution during hot aluminum extrusion. J Mater Process Technol 212:323–330CrossRefGoogle Scholar
  23. 23.
    Kaneko S, Murakami K, Sakai T (2009) Effect of the extrusion conditions on microstructure evolution of the extruded Al–Mg–Si–Cu alloy rods. Mater Sci Eng A 500:8–15CrossRefGoogle Scholar
  24. 24.
    Chrominski W, Lewandowska M (2016) Precipitation phenomena in ultrafine grained Al–Mg–Si alloy with heterogeneous microstructure. Acta Mater 103:547–557CrossRefGoogle Scholar
  25. 25.
    Yao X, Zheng YF, Quadir MZ, Kong C, Liang JM, Chen YH, Munroe P, Zhang DL (2018) Grain growth and recrystallization behaviors of an ultrafine grained Al–06 wt%Mg–04 wt%Si–5 vol%SiC nanocomposite during heat treatment and extrusion. J Alloys Compd 745:519–524CrossRefGoogle Scholar
  26. 26.
    Chen L, Zhang J, Zhao G, Wang Z, Zhang C (2018) Microstructure and mechanical properties of Mg–Al–Zn alloy extruded by porthole die with different initial billets. Mater Sci Eng A 718:390–397CrossRefGoogle Scholar
  27. 27.
    Vetrano JS, Bruemmer SM, Pawlowski LM, Robertson IM (1997) Influence of the particle size on recrystallization and grain growth in Al–Mg–X alloys. Mater Sci Eng A 238:101–107CrossRefGoogle Scholar
  28. 28.
    Hirsch J, Al-Samman T (2013) Superior light metals by texture engineering: optimized aluminum and magnesium alloys for automotive applications. Acta Mater 61:818–843CrossRefGoogle Scholar
  29. 29.
    Kemsies RH, Milkereit B, Wenner S, Holmestad R, Kessler O (2018) In situ DSC investigation into the kinetics and microstructure of dispersoid formation in Al–Mn–Fe–Si(–Mg) alloys. Mater Des 146:96–107CrossRefGoogle Scholar
  30. 30.
    Karabay S, Önder FK (2004) An approach for analysis in refurbishment of existing conventional HV-ACSR transmission lines with AAAC. Electr Power Syst Res 72:179–185CrossRefGoogle Scholar
  31. 31.
    Liang H, Chen H, Peng F, Liu L, Li X, Liu K, Liu C, Li X (2018) High-pressure strength and compressibility of titanium diboride (TiB2) studied under non-hydrostatic compression. J Phys Chem Solids 121:256–260CrossRefGoogle Scholar
  32. 32.
    Fu SY, Feng XQ, Lauke B, Mai YW (2008) Effects of particle size, particle/matrix interface adhesion and particle loading on mechanical properties of particulate–polymer composites. Compos B 39:933–961CrossRefGoogle Scholar
  33. 33.
    Kendig KL, Miracle DB (2002) Strengthening mechanisms of an Al–Mg–Sc–Zr alloy. Acta Mater 50:4165–4175CrossRefGoogle Scholar
  34. 34.
    Su JF, Nie X, Stoilov V (2010) Characterization of fracture and debonding of Si particles in AlSi alloys. Mater Sci Eng A 527:7168–7175CrossRefGoogle Scholar
  35. 35.
    He H, Yi Y, Huang S, Zhang Y (2018) Effects of deformation temperature on second-phase particles and mechanical properties of 2219 Al–Cu alloy. Mater Sci Eng A 712:414–423CrossRefGoogle Scholar
  36. 36.
    Huang M, Li Z (2005) Size effects on stress concentration induced by a prolate ellipsoidal particle and void nucleation mechanism. Int J Plast 21:1568–1590CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Key Laboratory for Liquid-Solid Structural Evolution and Processing of Materials (Ministry of Education)Shandong UniversityJinanPeople’s Republic of China

Personalised recommendations