Basic NDE of Some Nano Composites

Author(s):  
Emmanuel Ayorinde ◽  
Sadikul Islam ◽  
Hassan Mahfuz ◽  
Ronald Gibson ◽  
Feizhong Deng ◽  
...  

The influence of the nano-sized particulate or slender structures admixed into the material of regular composite structures of various architectures is being enthusiastically studied in many places across the world, but the study is yet in its infancy because there are so many aspects to be investigated. This work is basically on foam-cored structural sandwich composites, and even here there are many variables involved, for example the nano-enhancer can be introduced into the reinforcement, the matrix or the foam. The focus of the work is on some possible effects of the presence of the nano-materials on the NDE process in testing these composites. Acoustic emission is emphasized in these studies, as it appears to hold promise for non-destructively testing materials of this nature, and basic and standard mechanical test methods are employed.

2021 ◽  
Author(s):  
Sattar Mohammadi Esfarjani ◽  
Mohammad Azadi ◽  
Mohsen Alizadeh ◽  
Hassan Sayar

Abstract One of methods for detecting cracks and estimating their growth in materials such as composites is the acoustic emission technique. The detection of damages, cracks and their growth in industrial composite structures, under static and dynamic loads, has a significant importance, in order to prevent any damages and increase the reliability. Therefore, achieving required technical knowledge in this field, can be helpful in repairing and the maintenance of the part in industries. The prediction of the damage in polymeric composites under static loads has been already investigated by researchers; however, under cyclic loadings, researches about this behavior are still rare. In this study, by acoustic emission sensors and analyzing experimental data, the damage, including matrix cracking, the fiber breakage and other damages (debonding, fiber pull-out and delamination) during dynamic loading was investigated. At the first stage, standard specimens were made by the pure resin epoxy and the pure carbon fiber, subjected to monotonic tensile loading and then, the frequency of the failure was extracted. Then, composite specimens were loaded in the low-cycle fatigue regime. Mechanical test results and acoustic emission data were analyzed by fuzzy C-Means and wavelet transform methods and then compared to each other to find the percentage of failures in first, mid- and last cycles by the differentiation of failure types. Results clearly indicated that the acoustic emission approach is useful and an effective tool for identifying and detecting damages in polymeric composites.


2021 ◽  
Author(s):  
Sattar Mohammadi Esfarjani ◽  
Mohammad Azadi ◽  
Mohsen Alizadeh ◽  
Hassan Sayar

Abstract One of methods for detecting cracks and estimating their growth in materials such as composites is the acoustic emission technique. The detection of damages, cracks and their growth in industrial composite structures, under static and dynamic loads, has a significant importance, in order to prevent any damages and increase the reliability. Therefore, achieving required technical knowledge in this field, can be helpful in repairing and the maintenance of the part in industries. The prediction of the damage in polymeric composites under static loads has been already investigated by researchers; however, under cyclic loadings, researches about this behavior are still rare. In this study, by acoustic emission sensors and analyzing experimental data, the damage, including matrix cracking, the fiber breakage and other damages (debonding, fiber pull-out and delamination) during dynamic loading was investigated. At the first stage, standard specimens were made by the pure resin epoxy and the pure carbon fiber, subjected to monotonic tensile loading and then, the frequency of the failure was extracted. Then, composite specimens were loaded in the low-cycle fatigue regime. Mechanical test results and acoustic emission data were analyzed by fuzzy C-Means and wavelet transform methods and then compared to each other to find the percentage of failures in first, mid- and last cycles by the differentiation of failure types. Results clearly indicated that the acoustic emission approach is useful and an effective tool for identifying and detecting damages in polymeric composites.


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