Artificial Neural Network Modelling of PP/PET Blends

Authors : Murat BEKEN, Fatma ÇAVUŞ KOSOVALI, Yeşim ÖZCANLI

Pages : 77-82

View : 17 | Download : 7

Publication Date : 2018-06-30

Article Type : Research Paper

Abstract :In this study, comparison between the dynamic mechanical properties of polymer blends and the results of artificial  neural networks insert ignore into journalissuearticles values(ANN); modeling has been conducted. The glass transition temperature and storage modulus values of  PPinsert ignore into journalissuearticles values(polypropylene);/PETinsert ignore into journalissuearticles values(polypropylene terephthalate); polymer blends was used for ANN modelling. The observations on  ANN results and the experimental results has shown sufficient accuracy mutually. At the same time, these results were  supported by scanning analyzes. The artificial intelligence modeling studies for this article proves the applicability of  dynamic mechanical properties of PP/PET blends. These results shows that artificial neural networks can be a helpful tool  for experimental work of dynamic mechanical properties of polymer materials.
Keywords : PP PET blends, dynamical mechanical properties, artificial neural network