Homogenization effect on precipitation kinetics and mechanical properties of an extruded AA7050 alloy
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Ş. Hakan Atapek
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İrfan Eker
Abstract
In this study, effect of homogenization on precipitation kinetics and mechanical properties during aging in AA7050 alloy was investigated. The billet material produced by direct chill method was homogenized at 470 °C for 12–20 h and then extruded to form T-profile. The electrical conductivity of the alloy aged at 120 and 185 °C for 0–36 h were measured and precipitation kinetics were calculated based on the relationship between increased electrical conductivity and amount of precipitates during aging. Time dependent precipitation fraction change curves using Avrami equations revealed that precipitation accelerated as the homogenization time increased due to increased nucleation and growth rates of precipitates. Peak hardness values in aging were reached depending on the increase in homogenization time, however, lower peak hardness (∼185 HV) was determined at 185 °C aging compared to the obtained ones (195–197 HV) at 120 °C aging. Depending on the increase in homogenization time, an increase trend in strength was detected in peak aged alloys. The application of longer time homogenization and subsequent aging caused an increase in strengths. The studied homogenization and aging conditions could be a useful guide for achieving the highest strength and ideal elongation values in commercial practice for the AA7050 alloy.
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The author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
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Research funding: None declared.
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Conflict of interest statement: The authors declare no conflicts of interest regarding this article.
References
[1] S. K. Das and W. Yin, “The worldwide aluminium economy: the current state of the industry,” J. Met., vol. 59, no. 11, pp. 57–63, 2007, https://doi.org/10.1007/s11837-007-0142-0.Suche in Google Scholar
[2] E. A. StarkeJr. and J. T. Staley, “Application of modern aluminum alloys to aircraft,” Prog. Aerosp. Sci., 32, nos. 2–3, pp. 131–172, 1996, https://doi.org/10.1016/0376-0421(95)00004-6.Suche in Google Scholar
[3] A. E. A. Chemin, C. M. Afonso, F. A. Pascoal, C. I. dos Santos Maciel, C. O. F. T. Ruchert, and W. W. B. Filho, “Characterization of phases, tensile properties, and fracture toughness in aircraft-grade aluminum alloy,” Mat. Des Pro. Commun., vol. 1, no. e79, pp. 1–13, 2019, https://doi.org/10.1002/mdp2.79.Suche in Google Scholar
[4] H. B. Younis, K. Kamal, M. F. Sheikh, and A. Hamza, “Prediction of fatigue crack growth rate in aircraft aluminum alloys using optimized neural networks,” Theor. Appl. Fract. Mech., vol. 117, 2022, Art no. 103196, https://doi.org/10.1016/j.tafmec.2021.103196.Suche in Google Scholar
[5] M. O. Speidel, “Stress corrosion cracking of aluminum alloys,” Metall. Trans. A., vol. 6, pp. 631–651, 1975, https://doi.org/10.1007/BF02672284.Suche in Google Scholar
[6] R. G. Guan and D. Tie, “A review on grain refinement of aluminum alloys: progresses, challenges and prospects,” Acta Metall. Sin., vol. 30, no. 5, pp. 409–432, 2017, https://doi.org/10.1007/s40195-017-0565-8.Suche in Google Scholar
[7] M. Tajally, Z. Huda, and H. H. Masjuki, “Effect of deformation and recrystallization conditions on tensile behavior of aluminum alloy 7075,” Met. Sci. Heat Treat., vol. 53, nos. 3–4, pp. 165–168, 2011, https://doi.org/10.1007/s11041-011-9361-7.Suche in Google Scholar
[8] D. Xu, K. Chen, Y. Chen, and S. Chen, “Evolution of the second-phase particles and their effect on tensile fracture behavior of 2219 Al-xCu alloys,” Metals, vol. 10, no.2, pp. 197, 2020, https://doi.org/10.3390/met10020197.Suche in Google Scholar
[9] M. Dixit, R. S. Mishra, and K. K. Sankaran, “Structure–property correlations in Al 7050 and Al 7055 high-strength aluminum alloys,” Mater. Sci. Eng., A, vol. 478, nos. 1–2, pp. 163–172, 2008, https://doi.org/10.1016/j.msea.2007.05.116.Suche in Google Scholar
[10] A. Gloria, R. Montanari, M. Richetta, and A. Varone, “Alloys for aeronautic applications: state of the art and perspectives,” Metals, vol. 9, no. 6, p. 662, 2019, https://doi.org/10.3390/met9060662.Suche in Google Scholar
[11] A. Karaaslan, I. Kaya, and H. Atapek, “Tensile strength and impact toughness of an AA7075 T6 alloy,” Mater. Test., vol. 50, no. 5, pp. 256–258, 2008, https://doi.org/10.3139/120.100882.Suche in Google Scholar
[12] T. Sonar, V. Balasubramanian, and S. Malarvizhi, “Mitigation of heat treatment distortion of AA 7075 aluminum alloy by deep cryogenic processing using the Navy C-ring test,” Mater. Test., vol. 63, no. 8, pp. 758–763, 2021, https://doi.org/10.1515/mt-2020-0121.Suche in Google Scholar
[13] K. R. Cardoso, D. N. Travessa, A. G. Escorial, and M. Lieblich, “Effect of mechanical alloying and Ti addition on solution and ageing treatment of an AA7050 aluminium alloy,” Mater. Res., vol. 10, no. 2, pp. 199–203, 2007, https://doi.org/10.1590/S1516-14392007000200017.Suche in Google Scholar
[14] W. Li, Y. Liu, S. Jiang et al.., “A study of thermomechanical behaviour and grain size evolution of AA7050 under hot forging conditions,” Int. J. Lightweight Mater. Manuf., vol. 2, no. 1, pp. 31–39, 2019, https://doi.org/10.1016/j.ijlmm.2018.10.002.Suche in Google Scholar
[15] K. Kang, D. Li, A. Wang, D. Shi, G. Gao, and Z. Xu, “Experimental investigation on aging treatment of 7050 alloy assisted by electric pulse,” Results Phys., vol. 16, 2020, Art no. 103016, https://doi.org/10.1016/j.rinp.2020.103016.Suche in Google Scholar
[16] J. P. Li, J. Shen, X. D. Yan, B. P. Mao, and L. M. Yan, “Microstructure evolution of 7050 aluminum alloy during hot deformation,” Trans. Nonferrous Metals Soc. China, vol. 20, no. 2, pp. 189–194, 2010, https://doi.org/10.1016/S1003-6326(09)60119-9.Suche in Google Scholar
[17] F. G. Cong, G. Zhao, F. Jiang, N. Tian, and R. F. Li, “Effect of homogenization treatment on microstructure and mechanical properties of DC cast 7X50 aluminum alloy,” Trans. Nonferrous Metals Soc. China, vol. 25, no. 4, pp. 1027–1034, 2015, https://doi.org/10.1016/S1003-6326(15)63694-9.Suche in Google Scholar
[18] P. Jia, Y. Cao, Y. Geng, L. He, N. Xiao, and J. Cui, “Studies on the microstructures and properties in phase transformation of homogenized 7050 alloy,” Mater. Sci. Eng., A, vol. 612, pp. 335–342, 2014, https://doi.org/10.1016/j.msea.2014.06.027.Suche in Google Scholar
[19] X. Fan, D. Jiang, Q. Meng, and L. Zhong, “The microstructural evolution of an Al-Zn-Mg-Cu alloy during homogenization,” Mater. Lett., vol. 60, no. 12, pp. 1475–1479, 2006, https://doi.org/10.1016/j.matlet.2005.11.049.Suche in Google Scholar
[20] Z. Cao, Y. Feng, T. Li, and J. Wang, “Variation of the microstructure of ingots of DC cast alloy 7050 during homogenization,” Met. Sci. Heat Treat., vol. 52, nos. 3–4, pp. 179–182, 2010, https://doi.org/10.1007/s11041-010-9251-4.Suche in Google Scholar
[21] J. T. Staley, “Aging kinetics of aluminum alloy 7050,” Metall. Mater. Trans. B, vol. 5, pp. 929–932, 1974, https://doi.org/10.1007/BF02643150.Suche in Google Scholar
[22] Ş. H. Atapek, “Effect of cobalt on the aging kinetics and the properties of a CuCoNiBe alloy,” Mater. Test., vol. 57, no. 1, pp. 17–21, 2015, https://doi.org/10.3139/120.110669.Suche in Google Scholar
[23] F. Kahrıman and M. Zeren, “The effect of Zr on aging kinetics and properties of as-cast AA6082 alloy,” Int. J. Metalcast., vol. 11, no. 2, pp. 216–222, 2017, https://doi.org/10.1007/s40962-016-0047-1.Suche in Google Scholar
[24] A. Staszczyk, J. Sawicki, and B. Adamczyk-Cieslak, “A study of second-phase precipitates and dispersoid particles in 2024 aluminum alloy after different aging treatments,” Materials, vol. 12, no. 4168, pp. 1–10, 2019, https://doi.org/10.3390/ma12244168.Suche in Google Scholar PubMed PubMed Central
© 2022 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- In situ corrosion fatigue life of 2198-T8 Al–Li alloy based on tests and DIC technique
- Characterisation of a wire arc additive manufactured 308L stainless steel cylindrical component
- Mechanical properties of a 7075-T6 aluminum alloy at elevated temperatures
- Low-velocity single and repeated impact behavior of 3D printed honeycomb cellular panels
- Fracture mechanical evaluation of the material HCT590X
- Effects of forging on the mechanical properties of B4Cp/Al composite with flaked Al and Al2O3 particles
- Homogenization effect on precipitation kinetics and mechanical properties of an extruded AA7050 alloy
- Low velocity impact response of sandwich composites with hybrid glass/natural fiber face-sheet and PET foam core
- Earing prediction of 2090-T3 aluminum-cups using a complete homogenous fourth-order polynomial yield function
- Imitation of human muscle by using an electromechanical system
- Reptile search algorithm and kriging surrogate model for structural design optimization with natural frequency constraints
- Online magnetic flux leakage detection of inclusions and inhomogeneities in cold rolled steel plate
- Characterization of hydrogen assisted corrosion cracking of a high strength aluminum alloy
- Influence of illuminance on indication detectability during visual testing
- Quality optimization of FDM-printed (fused deposition modeling) components based on differential scanning calorimetry
Artikel in diesem Heft
- Frontmatter
- In situ corrosion fatigue life of 2198-T8 Al–Li alloy based on tests and DIC technique
- Characterisation of a wire arc additive manufactured 308L stainless steel cylindrical component
- Mechanical properties of a 7075-T6 aluminum alloy at elevated temperatures
- Low-velocity single and repeated impact behavior of 3D printed honeycomb cellular panels
- Fracture mechanical evaluation of the material HCT590X
- Effects of forging on the mechanical properties of B4Cp/Al composite with flaked Al and Al2O3 particles
- Homogenization effect on precipitation kinetics and mechanical properties of an extruded AA7050 alloy
- Low velocity impact response of sandwich composites with hybrid glass/natural fiber face-sheet and PET foam core
- Earing prediction of 2090-T3 aluminum-cups using a complete homogenous fourth-order polynomial yield function
- Imitation of human muscle by using an electromechanical system
- Reptile search algorithm and kriging surrogate model for structural design optimization with natural frequency constraints
- Online magnetic flux leakage detection of inclusions and inhomogeneities in cold rolled steel plate
- Characterization of hydrogen assisted corrosion cracking of a high strength aluminum alloy
- Influence of illuminance on indication detectability during visual testing
- Quality optimization of FDM-printed (fused deposition modeling) components based on differential scanning calorimetry
