Cumulative Fatigue Life Estimation Under Combined Shot Peening and Elevated Temperature for AA7001-T6

https://doi.org/10.24237/djes.2023.16204

Authors

  • Huda S. Mahdi Department of Mechanical Engineering, University of Diyala, 32001 Diyala, Iraq
  • Saad T. Faris Department of Mechanical Engineering, University of Diyala, 32001 Diyala, Iraq
  • Raad Mohammed Abed Ministry of Higher Education and Scientific Research
  • Hussain M. Alalkawi Department of Aeronautical Techniques Engineering, Bilad Alrafidain University College, 32001 Diyala, Iraq
  • Ramdziah Nasir School of Mechanical Engineering, Universiti Sains Malaysia, Malaysia

Keywords:

AA7001-T6, Mechanical Properties, Shot Peening, Cumulative Fatigue Damage, Miner rule

Abstract

The fatigue life of aluminum alloys (7001–T6) and shot peening at various temperatures are predicted in this study. Shot peening (SP) steel balls is a surface treatment technique that can help minimize damage. This study set out to conduct an experimental investigation in order to ascertain the amount of damage caused by fatigue buildup for AA7001-T6 under rotating bending loading and a stress ratio R = -1. RT (room temperature), 330 °C, and SP + 330 °C were the temperatures used in the testing. To predict the fatigue life under high temperatures, it was suggested to use a modified damage stress model that had been established to take damage at different load levels into account. To determine the most damage (Miner's rule), the output of the current model was compared to experimental findings and the output from the fatigue damage model. The comparison showed that the current model had a respectable level of safety, whereas the miners' model had two models: one for low-high loading and the other for high-low loading, and the results were suitable for extending fatigue life. Despite the fact that H-L loading has a longer fatigue life (19477) cycles than the experimental (16433 cycles), L-H loading is conservative (Nf is 19477 cycles less than the experimental (24733 cycles) (non-conservative).

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References

Maha N. Abdulrihda “Fatigue life prediction of aluminum alloy using electrical drop technique “MSC, Thesis ,university of Technology(2016).

E.Santecchia, A.M.S.Hamouda, F.Musharavati, E.Zalnezhad, M.Cabibbo, M.ElMehtedi, andS.Spigarelli, "A Review on fatigue life prediction methods for metals," Advance in Materials Science and Engineering, pp. 26-, 2016 DOI: https://doi.org/10.1155/2016/9573524

Ö. Karakasi and J. Szusta. "Monotonic and low cycle fatigue behavior of 2024-T3 aluminum alloy between room temperature and 300 °C for designing VAWT components ". Fatigue and fracture of engineering materials and structures, vol.39, p. 95–109. 2. (2015). DOI: https://doi.org/10.1111/ffe.12336

A. Qandil1 and Adnan I. O. Zaid."Effect of shot peening and grain refinement on the fatigue life and strength of commercially pure Al and two of its alloys: Al-2024-T3 and Al-7075-T6". Materials Science and Engineering. vol. 146 . (2016). DOI: https://doi.org/10.1088/1757-899X/146/1/012028

Alhamdany, Aseel A., et al. "Development Mechanical and Fatigue Properties of AA7001 After Combined SP with Deep Cryogenic Treatment and UIP with Deep Cryogenic Treatment." Eastern-European Journal of Enterprise Technologies 5.1 (2021): 113. DOI: https://doi.org/10.15587/1729-4061.2021.243391

Ertas, Atila. Engineering mechanics and design applications. Boca Raton: CRC Press, 2012.

Laseure, Niels, et al. "Effects of variable amplitude loading on fatigue life." International Journal of Sustainable Construction and Design 6.3 (2015). DOI: https://doi.org/10.21825/scad.v6i3.1131

Hantoosh, Zainab K. "Fatigue Life Prediction at Elevated Temperature under Low–High and High–Low Loading Based on Mechanical Properties Damage Model." Engineering and Technology Journal 30.11 (2012).

Zakaria, K. A., S. Abdullah, and M. J. Ghazali. "Elevated temperature fatigue life investigation of aluminium alloy based on the predicted SN curve." Journal Teknologi 63.1 (2013). DOI: https://doi.org/10.11113/jt.v63.1345

Al-Alkawi, Hussain J., Fikrat Abdul Kareem, and Asmaa Abdulqasim Mohammed Ali. "Prediction of FatigueCreep Interaction Life of Aluminum Alloy AA7349 Using Electromechanical Devices." Engineering and Technology Journal 33.0 (2015): 3.

Ali, Abdul-Jabar H. "Improvement of Fatigue Life of AA 7075 Using Laser Shock Peening (LSP) Surface Treatment Technique." Al-TAQANI Refereed Scientific Journal 29 (2016): 47-57. [12] Kadhim, Mohammed J., and Hamza M. Kamal. "Cumulative Thermal Fatigue Damage for Aluminum Alloy under Variable Stresses." IOP Conference Series: Materials Science and Engineering. Vol. 454. No. 1. IOP Publishing, 2018. [13] Shen, Chen, et al. "A new cumulative fatigue damage model under biaxial loading." Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications 234.7 (2020): 962-973.

Marwa S, Mahammed., Hussain J. Alalkawi, and Saad T. Faris. "Cumulative fatigue damage of AA7075-T6 under shot peening and ultrasonic surface treatments." Diyala Journal of Engineering Sciences 14.1 (2021): 1-10. DOI: https://doi.org/10.24237/djes.2021.14101

Huda.S.,Mahdi, Hussain J. Alalkawi, &,Saad T. Faris. "Mechanical Properties and Fatigue life Evaluation under high temperature and shot peening application using AA7001". International Journal of Nanoelectronics and Materials (IJNeaM). (2022).

Taif Y. Ghadhban. "Design and modification of a computerized tensile test machine at high temperature." MSC thesis University of Technology Journal (2020).

Robert L . Moot "Machine element in mechanical design" fourth edition, Pearson-prentice hall (2004).

Schijve, Jaap. The accumulation of fatigue damage in aircraft materials and structures. Advisory Group For Aerospace Research And Development Neuilly-Sur-Seine (FRANCE), 1972

Published

2023-06-01

How to Cite

[1]
H. S. Mahdi, S. T. Faris, R. M. Abed, H. M. Alalkawi, and R. Nasir, “Cumulative Fatigue Life Estimation Under Combined Shot Peening and Elevated Temperature for AA7001-T6 ”, DJES, vol. 16, no. 2, pp. 50–59, Jun. 2023.

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