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Running-in performance of 7075 aluminum alloy strengthened by burnishing technology

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Abstract

A 2D ultrasonic burnishing technology was employed to strengthen 7075 aluminum alloy. The running-in experiments for original and burnished samples were implemented, and the running-in performance was explored qualitatively and quantitatively. The results show that the worn surface of an original sample exhibited the peelings, scratches, and abrasive particles, yet the wear form of a burnished sample was relatively single, mainly with scratches. The quantitative parameter “maximum distance between phase points dmax” was calculated. During the friction and wear process, the dmax of friction coefficient signal displayed the variation of first decreasing and then stabilizing, which was consistent with the running-in and steady-state stages of the friction system. Compared with the original sample, the burnished sample had a less dmax, which indicated that the phase trajectory had a more convergence, and the friction system had a better stability. This study can guide surface strengthening and running-in performance analysis.

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References

  1. Z. Y. Li, H. Y. Yu and D. B. Sun, The tribocorrosion mechanism of aluminum alloy 7075-T6 in the deep ocean, Corrosion Science, 183 (2021) 109306.

    Article  Google Scholar 

  2. P. Vasanthakumar, K. Sekar and K. Venkatesh, Recent development in powder metallurgy based aluminium alloy composite for aerospace applications, Materials Today Proceedings, 18 (2019) 5400–5409.

    Article  Google Scholar 

  3. C. Priyadarsini, V. S. N. Ramana, K. A. Prabha and S. Swetha, A review on ball, roller, low plasticity burnishing process, Materials Today Proceedings, 18 (2019) 5087–5099.

    Article  Google Scholar 

  4. M. H. El-Axir, O. M. Othman and A. M. Abodiena, Study on the inner surface finishing of aluminum alloy 2014 by ball burnishing process, J. of Materials Processing Technology, 202(1–3) (2008) 435–442.

    Article  Google Scholar 

  5. J. L. Lv, H. Y. Luo and T. X. Liang, Investigation of microstructure and corrosion behavior of burnished aluminum alloy by TEM, EWF, XPS and EIS techniques, Materials Research Bulletin, 83 (2016) 148–154.

    Article  Google Scholar 

  6. S. Khalilpourazary and J. Salehi, How alumina nanoparticles impact surface characteristics of Al7175 in roller burnishing process, J. of Manufacturing Processes, 39 (2019) 1–11.

    Article  Google Scholar 

  7. R. Teimouri, Optimization of residual stress field in ultrasonic assisted burnishing process, International J. of Lightweight Materials and Manufacture, 2(4) (2019) 346–354.

    Article  Google Scholar 

  8. H. W. Liu, J. X. Zheng, Y. L. Guo and L. X. Zhu, Residual stresses in high-speed two-dimensional ultrasonic rolling 7050 aluminum alloy with thermal-mechanical coupling, International J. of Mechanical Sciences, 186 (2020) 105824.

    Article  Google Scholar 

  9. Z. Y. Zhou, Q. Y. Zheng, C. Ding, J. Y. Yan, G. J. Peng and Z. Y. Piao, Research on the promotion mechanism of surface burnishing process by two-dimensional ultrasonic vibration, J. of Materials Research and& Technology, 13 (2021) 1068–1082.

    Article  Google Scholar 

  10. Z. Y. Zhou, G. L. Yu, Q. Y. Zheng, G. Z. Ma, S. B. Ye, C. Ding and Z. Y. Piao, Wear behavior of 7075-aluminum after ultrasonic-assisted surface burnishing, J. Manufacturing Processes, 51 (2020) 1–9.

    Article  Google Scholar 

  11. W. Xia, F. L. Li, Z. Q. Tang, Z. Y. Zhou and Q. Zhao, Influence of burnishing on fretting wear behaviors of aluminum alloy 6061, J. of South China University of Technology, 39(1) (2011) 84–89.

    Google Scholar 

  12. M. Urbakh, J. Klafter, D. Gourdon and J. Israelachvili, The nonlinear nature of friction, Nature, 430 (2004) 525–528.

    Article  Google Scholar 

  13. D. Schuldberg and S. Guisinger, Nonlinear dynamical systems, chaos theory, and creativity, Encyclopedia of Creativity, Third Edition, Academic Press (2020) 245–254.

  14. Y. K. Zhou, H. Zhu, X. Zuo, L. Yan and N. X. Chen, The nonlinear nature of friction coefficient in lubricated sliding friction, Tribology International, 88 (2015) 8–16.

    Article  Google Scholar 

  15. S. Ghatrehsamani, S. Akbarzadeh and M. M. Khonsari, Experimental and numerical study of the running-in wear coefficient during dry sliding contact, Surface Topography Metrology and Properties, 9(1) (2020) 015009.

    Article  Google Scholar 

  16. S. Z. Wen, P. Huang, Y. Tian and L. R. Ma, Principles of Tribology, Fifth Edition, Tsinghua University Press, Beijing, China (2018).

    Google Scholar 

  17. P. J. Blau, Friction and Wear Transitions of Materials, Noyes Publications, New Jersey, USA (1989).

    Google Scholar 

  18. M. M. Khonsari, S. Ghatrehsamani and S. Akbarzadeh, On the running-in nature of metallic tribo-components: a review, Wear, 474–475 (2021) 203871.

    Article  Google Scholar 

  19. P. J. Blau, On the nature of running-in, Tribology International, 38 (2005) 1007–1012.

    Article  Google Scholar 

  20. Y. K. Zhou, X. Zuo, H. Zhu and W. Tang, Development of prediction models of running-in attractor, Tribology International, 117 (2018) 98–106.

    Article  Google Scholar 

  21. H. Zhu, S. R. Ge, X. C. Cao and W. Tang, The changes of fractal dimensions of frictional signals in the running-in wear process, Wear, 263 (2007) 1502–1507.

    Article  Google Scholar 

  22. C. Ding, Property and evolution of the running-in attractor in an actual dynamic system, Nonlinear Dynanmics, 102 (2020) 1019–1031.

    Article  Google Scholar 

  23. F. Takens, Detecting strange attractors in turbulence, Dynamical Systems and Turbulence, Springer (1980) 366–381.

  24. M. T. Rosenstein, J. J. Collins and C. J. Deluca, Reconstruction expansion as a geometry-based framework for choosing proper delay times, Physica D: Nonlinear Phenomena, 73(1–2) (1994) 82–98.

    Article  MathSciNet  Google Scholar 

  25. M. B. Kennel, R. Brown and H. D. I. Abarbanel, Determining embedding dimension for phase space reconstruction using a geometrical reconstruction, Physical Review A, 45(6) (1992) 3403–3411.

    Article  Google Scholar 

  26. Y. K. Zhou, X. Zuo and H. Zhu, Application of chaos theory to optimize the running-in parameters by using a running-in attractor, Wear, 420 (2019) 1–8.

    Article  Google Scholar 

  27. C. Ding, H. Zhu, G. D. Sun, Y. Jiang and C. L. Wei, Characteristic parameter and evolution of the running-in attractor, International J. of Bifurcation and Chaos, 29(4) (2019) 1950044.

    Article  Google Scholar 

Download references

Acknowledgments

This work is supported by the National Natural Science Foundation of China (Grant Nos. 52105215, 52175194), Zhejiang Provincial Natural Science Foundation of China (Grant No. LQ22E050016, No. LR23E050002), the Science Fund of State Key Laboratory of Engine Reliability (No. SKLER-202110), Key Laboratory of E&M (Zhejiang University of Technology), Ministry of Education & Zhejiang Province (No. EM2021120103).

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Correspondence to Zhongyu Piao.

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Cong Ding received her Ph.D. in Mechanical Engineering from China University of Mining and Technology. She is a lecturer at the College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou, China. Her current research interests include surface strengthening, tribology, signal processing, and fault monitoring.

Zhongyu Piao received his Ph.D. in Mechanical Design and Theory from Yanshan University, Qinhuangdao. He is a Professor of Mechanical Engineering, Zhejiang University of Technology, Hangzhou, China. His current research interests include tribology, surface engineering, state perception and intelligent manufacturing technology.

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Ding, C., Feng, S., Qiao, Z. et al. Running-in performance of 7075 aluminum alloy strengthened by burnishing technology. J Mech Sci Technol 37, 2545–2553 (2023). https://doi.org/10.1007/s12206-023-0430-9

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  • DOI: https://doi.org/10.1007/s12206-023-0430-9

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