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Damage Classification of Sandwich Composites Using Acoustic Emission Technique and k-means Genetic Algorithm

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Abstract

In this study acoustic emission (AE) technique was used for monitoring mode I delamination test of sandwich composites. Since, during mode I delamination test various damage mechanisms appear, their classification is of major importance. Hence, integration of \(k\)-means algorithm and genetic algorithm was applied as an efficient clustering method to discriminate different failure modes. Performing primary experiments to find the relationship between AE parameters and damage mechanisms, the AE signals of obtained clusters were assigned to distinct damage mechanisms. Also, the dominance of damage mechanisms was determined based on the distribution of AE signals in different clusters. Finally SEM observation was employed to verify obtained results. The results indicate the efficiency of the proposed method in damage classification of sandwich composites.

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Acknowledgments

The authors wish to thank the Department of Mechanical Engineering at Amirkabir University of Technology, for providing the facilities for this study.

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Authors and Affiliations

  1. Tabriz University of Applied Science and Technology, Khaneh Kargar, Tabriz, Iran

    Farzad Pashmforoush

  2. Mechanical Engineering Department, University of Zanjan, University Boulevard, 45371-38111 , Zanjan, Iran

    Ramin Khamedi

  3. Non-destructive Testing Lab, Department of Mechanical Engineering, Amirkabir University of Technology, 424 Hafez Ave., 15914 , Tehran, Iran

    Mohamad Fotouhi, Milad Hajikhani & Mehdi Ahmadi

Authors
  1. Farzad Pashmforoush
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  2. Ramin Khamedi
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  3. Mohamad Fotouhi
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  4. Milad Hajikhani
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  5. Mehdi Ahmadi
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Correspondence to Ramin Khamedi.

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Pashmforoush, F., Khamedi, R., Fotouhi, M. et al. Damage Classification of Sandwich Composites Using Acoustic Emission Technique and k-means Genetic Algorithm. J Nondestruct Eval 33, 481–492 (2014). https://doi.org/10.1007/s10921-014-0243-y

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  • DOI: https://doi.org/10.1007/s10921-014-0243-y

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