A New Tool For Prediction Of Phase Transitions İn Liquid Crystals
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Tarih
2018
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Sakarya Üniversitesi Fen Bilimleri Enstitüsü
Erişim Hakkı
Özet
In this article, fundamental analysis of C37H59NO2, C37H59NO3, and C41H67NO2 from among liquid crystals is conducted via Differential Thermal Analysis (DTA) device in high pressure environment. Phase transition temperature, entalphy, and entrophy of these liquid crystals are observed. In addition, an Artificial Neural Network (ANN), which is a method of Artificial Intelligence, is modeled. Then, output values of ANN model and DTA device are compared, and correlation between them is demonstrated. For the values which are not measured with DTA device, outputs are produced by ANN model. In this article, three layered feed-forward back propagation ANN model is used. With this approach, it is proved that, ANN is a resourceful method for prediction in studies conducted about phase transition.
Açıklama
Anahtar Kelimeler
Differential Thermal analyse (DTA), Artificial Neural Network (ANN), Critical Point, Enthalpy, Liquid
Kaynak
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Sayı
Künye
Sakarya University Journal of Science, 22(4): 1086-1094, 2018
