Advertisement

Study on the Microdamage Evolution of Two Aluminum Alloys Under Different Stress States Based on Acoustic Emission

  • Jianyu LiEmail author
  • Zhonghui Jia
  • Gang Qi
ORIGINAL ARTICLE
  • 5 Downloads

Abstract

It is challenging to determine the damage type or mechanism under different stress states because of the high degree of disorder of the microdamage inside the metal material. The application of many nondestructive testing methods makes the realization of this subject possible. In this work, acoustic emission (AE) was implemented to test the microdamage evolution process of two aluminum alloy materials (1060 and 6063). Two types of notched specimens (shear and tensile) had been used. AE signatures acquired during testing were used to construct the multicomponent variate DA damage matrix. The multicomponent variate DA matrix and probabilistic entropy were applied to analyze the diversity of the microdamage evolution of different materials under different stress states. And the fracture surfaces were observed by a scanning electron microscope (SEM) to verify the correctness of the analysis results. Consequently, the probabilistic entropy results show that AE data characterization can effectively distinguish the significant difference of microdamage evolution of the aluminum alloys under two kinds of stress state. It is also shown that the microdamage evolution mechanism represented by the probabilistic entropy of aluminum alloys under the same stress state is consistent.

Keywords

Acoustic emission Multicomponent random damage variate analysis Probabilistic entropy SEM observation Aluminum alloy Failure 

Notes

Acknowledgments

We thank Dr. Wayne in University of Memphis for his gracious help with this work.

Funding Information

The project described was supported by Number 11272234 and Number 11772228 from the National Natural Science Fund of China.

References

  1. 1.
    D. Krajcinovic, Damage mechanics (Elsevier, Amsterdam, 1996)zbMATHGoogle Scholar
  2. 2.
    F.T. Latypov, A.E. Mayer, Shear strength of metals under uniaxial deformation and pure shear. J Phys Conf Ser 653, 12–41 (2015)CrossRefGoogle Scholar
  3. 3.
    W.F. Xu, H.Y. Che, J.H. Chen, Deformation and damage behavior of 6063 aluminum alloy under different stress conditions. Mater Mech Eng 33, 20–22 (2009)Google Scholar
  4. 4.
    D. Lv, L. Zhu, H. Zhu, et al., Study on mechanical properties and fracture behavior of 6063 aluminum alloy under different stress states. Light Alloy Fabr Technol 38, 52–55 (2010)Google Scholar
  5. 5.
    J. Besson, Continuum models of ductile fracture: a review. Int J Damage Mech 19, 3–52 (2009)CrossRefGoogle Scholar
  6. 6.
    S.M. Keralavarma, S. Chockalingam, A criterion for void coalescence in anisotropic ductile materials. Int J Plast 82, 159–176 (2016)CrossRefGoogle Scholar
  7. 7.
    J.H. Guo, R.I. Murakami, S.D. Zhao, Simulation of ductile fracture in an aluminum alloy using various criteria. Adv Mater Res 560–561, 973–978 (2012)CrossRefGoogle Scholar
  8. 8.
    J. Peirs, P. Verleysen, W. Van Paepegem, et al., Novel technique for static and dynamic shear testing of Ti6Al4V sheet. Exp Mech 52, 6–23 (2011)Google Scholar
  9. 9.
    S. Vesna, H. Louis, Tensile deformation and fracture of press hardened boron steel using digital image correlation. SAE 2007 Transactions. J Mater Manuf 1, 218–228 (2007)Google Scholar
  10. 10.
    G. Qi, S.F. Wayne, M. Fan, Measurements of a multicomponent variate in assessing evolving damage states in a polymeric material. IEEE Trans Instrum Meas 60, 206–213 (2011)CrossRefGoogle Scholar
  11. 11.
    G. Qi, S.F. Wayne, A framework of data-enabled science for evaluation of material damage based on acoustic emission. J Nondestruct Eval 33, 597–615 (2014)CrossRefGoogle Scholar
  12. 12.
    G. Qi, S.F. Wayne, O. Penrose, et al., Probabilistic characteristics of random damage events and their quantification in acrylic bone cement. J Mater Sci Mater Med 21, 2915–2922 (2010)CrossRefGoogle Scholar
  13. 13.
    G. Qi, J.Y. Li, M. Fan, et al., Assessment of statistical responses of multi-scale damage events in an acrylic polymeric composite to the applied stress. Probab Eng Mech 33, 103–115 (2013)CrossRefGoogle Scholar
  14. 14.
    G. Qi, S.F. Wayne, Principles of material structural change informatics to characterize and evaluate damage of materials in service. Data-Enabled Discov Appl 1, 1–17 (2017)CrossRefGoogle Scholar
  15. 15.
    Q.P. Zhong, Z.H. Zhao, Fractography (Higher Education Press, Beijing, 2006)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Tianjin Key Laboratory of Integrated Design and Online Monitoring for Light Industry and Food Machinery and EquipmentTianjin University of Science and TechnologyTianjinChina
  2. 2.Engineering Sciences Building, Mechanical Engineering DepartmentUniversity of MemphisMemphisUSA

Personalised recommendations