Prediction of miscibility of sodium alginate/poly(ethylene glycol) blends by fuzzy systems Sodyum aljinat/poli(etilen glikol) karisimlarin karisabilirliǧinin bulanik sistemlerle tahmini

Koc, DİLEK; Ergun, Nisa; KOÇ, MEHMET

doi:10.17341/gazimmfd.416521

Prediction of miscibility of sodium alginate/poly(ethylene glycol) blends by fuzzy systems Sodyum aljinat/poli(etilen glikol) karisimlarin karisabilirliǧinin bulanik sistemlerle tahmini

Journal of the Faculty of Engineering and Architecture of Gazi University, cilt.34, sa.2, ss.635-646, 2019 (SCI-Expanded)

Yayın Türü: Makale / Tam Makale
Cilt numarası: 34 Sayı: 2
Basım Tarihi: 2019
Doi Numarası: 10.17341/gazimmfd.416521
Dergi Adı: Journal of the Faculty of Engineering and Architecture of Gazi University
Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, TR DİZİN (ULAKBİM)
Sayfa Sayıları: ss.635-646
Sivas Cumhuriyet Üniversitesi Adresli: Evet

Özet

In this study, Mamdani and Sugeno type fuzzy systems based on fuzzified interaction parameters (alpha and beta) are employed to predict the miscibility of sodium alginate/poly (ethylene glycol) blends in solution phase. The miscibility predictions from the fuzzy systems are presented and compared with the results from traditional viscometric analysis using interaction parameters (alpha, Delta eta and beta), as well as refractive index measurements. The results show that data-driven zero-order Sugeno type fuzzy model have a better predictive performance than Mamdani type fuzzy system and a good potential to be used for viscometric studies.