Abstract
In this study, low-velocity impact on fiber metal laminate (FML) plate with nanoclay reinforcement particles has been investigated. Rectangular FML specimens have been made by hand lay-up method using two 2024 aluminum sheets and 4 layers of basalt fibers. The ultrasonic device is used for nanoclay in samples, and the specimens are constructed in different weight percentages of nanoclay particles from 0 to 5%. Low-velocity impact test has been conducted using drop weight device at different level of impact energies. Artificial neural networks are designed and used for the prediction of the response factor (i.e., absorbed impact energy), while input factors are weight percentage of nanoclay particles and applied level of impact energy. The obtained experimental and numerical results showed that nanoclay reinforcement particles in specimens containing different weight percentages of nanoclay possess more contact force and energy absorption with respect to the non-nanoclay specimens.
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Khoshnoudrad, A., Razavi, S.M., Sadollah, A., Taghiha, F. (2022). Investigation of the Effect of Nanoclay on Composite Plates Under Low-Speed Impact Using Artificial Neural Networks. In: Kim, J.H., Deep, K., Geem, Z.W., Sadollah, A., Yadav, A. (eds) Proceedings of 7th International Conference on Harmony Search, Soft Computing and Applications. Lecture Notes on Data Engineering and Communications Technologies, vol 140. Springer, Singapore. https://doi.org/10.1007/978-981-19-2948-9_32
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DOI: https://doi.org/10.1007/978-981-19-2948-9_32
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