Artificial Neural Network Modelling of the Mechanical Properties of Nanocomposite Polypropylene-Nanoclay
Küçük Resim Yok
Tarih
2017
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Amer Scientific Publishers
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This study presents the application of artificial neural network for mechanical properties of polypropylene and their composites with nanoclay. The effect of electric field on mechanical properties of polypropylene and nanocomposites is investigated. Then artificial neural network modelling has been used for predicting the mechanical lifetime of samples of pure polypropylene and their composites with nanoclay. Mechanical tensions ratio of nanoclay are used as input parameters and mechanical lifetime is used as output parameter. For artificial neural network modelling multi-layer perceptron architecture and back-propagation algorithm are used. The simulation results show that artificial neural network can predict the mechanical properties of polypropylene and their composites with nanoclay.
Açıklama
Anahtar Kelimeler
ANN, Polypropylene, Nanoclay, Mechanical Properties
Kaynak
Journal Of Nanoelectronics And Optoelectronics
WoS Q Değeri
Q4
Scopus Q Değeri
N/A
Cilt
12
Sayı
4
