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 (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
Dergi Adı Canadian Journal of Chemical Engineering (Q3)
Dergi ISSN 0008-4034 Wos Dergi Scopus Dergi
Dergi Tarandığı Indeksler SCI-Expanded
Makale Dili İngilizce Basım Tarihi 02-2023
Cilt / Sayı / Sayfa 101 / 11 / 6446–6454 DOI 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