Composite Materials Damage Characterization under Buckling Test Using Fuzzy C-Means Clustering

Authors

  • Saeid Abazary Department of Mechanical Engineering, Science and Research Branch, Islamic Azad University, Kermanshah, Iran. Author
  • Bahman Abazary Department of Mechatronics Engineering, Islamic Azad university, South Tehran, Iran. Author
  • Mohammad Amin Khalafi Department of Mechanical Engineering, Science and Research Branch, Islamic Azad University, Arak, Iran. Author
  • Reza Aghaie Department of Mechanical Engineering, Islamic Azad University, Miyaneh, Iran. Author
  • Morteza Shateri Department of Computer Science Software Engineering, Islamic Azad University, Miyaneh, Iran Author

Keywords:

Acoustic emission, Buckling, Fuzzy C-Means Clustering, Failure Mechanisms.

Abstract

In this study, acoustic emission (AE) monitoring with a Fuzzy C-Means (FCM) clustering is developed to detect the delamination process buckling test on glass/plolyester composite materials. The main fracture mode that should be emphasized and has an effect on the residual strength of composite materials is delamination. In this work, two types of specimen at different layups, [0,90]6s and unidirectional [0]6s, leading to different levels of damage evolution, were studied. Using acoustic emission monitoring can help to detect these fracture mechanisms. The obtained AE signals were classified using FCM. Two parameters (Peak Frequency and ABS Energy) were used to validate the FCM based classification. The results show that there is a good agreement with the FCM classification and microscopic observation by SEM.

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Published

2012-12-31

Issue

Vol.2. No.4 Oct/Dec 2012)

Section

Articles

How to Cite

Composite Materials Damage Characterization under Buckling Test Using Fuzzy C-Means Clustering. (2012). International Journal of Current Engineering and Technology, 2(4), 437-442. https://ijcet.evegenis.org/index.php/ijcet/article/view/58