Prediction of thermal stability crystallinity and thermomechanical properties of poly ethylene oxide clay nanocomposites with artificial neural networks
Yazarlar (5)
Prof. Dr. Engin Burgaz Ondokuz Mayis Üniversitesi, Türkiye
Arş. Gör. Mehmet Yazici Ondokuz Mayis Üniversitesi, Türkiye
Dr. Öğr. Üyesi Murat KAPUSUZ Ondokuz Mayis Üniversitesi, Türkiye
Sevim Hamamci Alisir
Ondokuz Mayis Üniversitesi, Türkiye
Ondokuz Mayis Üniversitesi, Türkiye
Prof. Dr. Hakan Ozcan Ondokuz Mayis Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Thermochimica Acta (Q2) | ||
| Dergi ISSN | 0040-6031 Dergi Bilgileri (2014) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 01-2014 |
| Cilt / Sayı / Sayfa | 575 / 1 / 159–166 | DOI | 10.1016/j.tca.2013.10.032 |
| Makale Linki | http://linkinghub.elsevier.com/retrieve/pii/S0040603113005443 | ||
| UAK Araştırma Alanları |
Makine Mühendisliği
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| Özet |
| The artificial neural network (ANN) technique with a feed-forward back propagation algorithm was used to examine the effect of clay composition and temperature on thermal stability, crystallinity and thermomechanical properties of poly(ethylene oxide)/clay nanocomposites. Based on dynamic mechanical analysis (DMA), differential scanning calorimetry (DSC) and thermogravimetric analysis (TGA) experiments, values of decomposition temperature, char yield, enthalpy of melting, storage modulus (E′) and tan δ were successfully calculated by well-trained ANNs. The simulated data is in very good agreement with the experimental data. ANN results confirm that thermal stability of PEO nanocomposites increases with the decrease of enthalpy of melting and relative crystallinity, and there is a directly proportional relationship between the modulus (stiffness) and thermal stability. The ANN technique is confirmed to be … |
| Anahtar Kelimeler |
| Crystallinity | Nanoclay | Nanocomposites | Poly(ethylene oxide) (PEO) | Thermal stability | Thermomechanical properties |
Science Direct
Prediction of thermal stability crystallinity and thermomechanical properties of poly ethylene oxide clay nanocomposites with artificial neural networks
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 31 |
| Scopus | 33 |
| Google Scholar | 40 |