Artificial Neural Network Modelling of PP/PET Blends

Year 2018, Volume: 2 Issue: 2, 77 - 82, 30.06.2018

Murat Beken Fatma Çavuş Kosovalı Yeşim Özcanlı

Abstract

In this study, comparison between the dynamic mechanical properties of polymer blends and the results of artificial neural networks (ANN) modeling has been conducted. The glass transition temperature and storage modulus values of PP(polypropylene)/PET(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

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