On modelling of surface tension of CMC‐α‐Fe2O3 nanoparticles by fuzzy‐hybrid approach: A comparison study      
Yazarlar (5)
Hale Gonce Kocken
Yıldız Teknik Üniversitesi, Türkiye
Mert Akin Insel
Yıldız Teknik Üniversitesi, Türkiye
Selcan Karakuş
Istanbul University-Cerrahpasa, Türkiye
Inci Albayrak
Yıldız Teknik Üniversitesi, Türkiye
Makale Türü Özgün Makale
Makale Alt Türü SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale
Dergi Adı Canadian Journal of Chemical Engineering
Dergi ISSN 0008-4034 Wos Dergi Scopus Dergi
Dergi Tarandığı Indeksler SCI-Expanded
Dergi Grubu Q3
Makale Dili İngilizce
Basım Tarihi 02-2023
Cilt No 101
Sayı 11
Sayfalar 6446 / 6454
DOI Numarası 10.1002/cjce.24884
Makale Linki https://doi.org/10.1002/cjce.24884
Özet
Surface tension is one of the most important rheological parameters of nanoliquids. It influences the thermophysical and mass transfer properties of nanostructures. Accurate estimation of the surface tension from operating variables is critical for determining optimal production processes. However, the challenges of producing nanoparticles and measuring their properties introduce experimental errors in the data used for mathematical modelling. Crisp regression approaches provide adequate representation of the data, but they do not provide information about the experimental uncertainty. In this study, a fuzzy‐hybrid approach is proposed for mathematical modelling of surface tension of carboxymethyl cellulose/chitosan‐α‐Fe2O3 nanoparticles. Then, the proposed model is compared with a crisp model from a previous study. Error analysis is conducted to validate the constructed fuzzy model. It is observed that the …
Anahtar Kelimeler
fuzzy regression | mathematical modelling | nanomaterials | surface tension