Browsing Faculty Contributions by Author "Vaferi, Behzad"
Now showing items 1-5 of 5
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Application of Green Polymeric Nanocomposites for Enhanced Oil Recovery by Spontaneous Imbibition from Carbonate Reservoirs
Ahmadi, Yaser; Ayari, Mohamed Arselene; Olfati, Meysam; Hosseini, Seyyed Hossein; Khandakar, Amith; Vaferi, Behzad; Olazar, Martin... more authors ... less authors ( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)This study experimentally investigates the effect of green polymeric nanoparticles on the interfacial tension (IFT) and wettability of carbonate reservoirs to effectively change the enhanced oil recovery (EOR) parameters. ... -
Differentiation among stability regimes of alumina-water nanofluids using smart classifiers
Daryayehsalameh, Bahador; Ayari, Mohamed Arselene; Tounsi, Abdelouahed; Khandakar, Amith; Vaferi, Behzad ( Techno Press , 2022 , Article)Nanofluids have recently triggered a substantial scientific interest as cooling media. However, their stability is challenging for successful engagement in industrial applications. Different factors, including temperature, ... -
Estimating the Dissolution of Anticancer Drugs in Supercritical Carbon Dioxide with a Stacked Machine Learning Model
Najmi, Maryam; Ayari, Mohamed A.; Sadeghsalehi, Hamidreza; Vaferi, Behzad; Khandakar, Amith; Chowdhury, Muhammad E. H.; Rahman, Tawsifur; Jawhar, Zanko H.... more authors ... less authors ( MDPI , 2022 , Article)Synthesizing micro-/nano-sized pharmaceutical compounds with an appropriate size distribution is a method often followed to enhance drug delivery and reduce side effects. Supercritical CO2 (carbon dioxide) is a well-known ... -
Estimating the Relative Crystallinity of Biodegradable Polylactic Acid and Polyglycolide Polymer Composites by Machine Learning Methodologies
Wang, Jing; Ayari, Mohamed A.; Khandakar, Amith; Chowdhury, Muhammad E. H.; Uz Zaman, Sm A.; Rahman, Tawsifur; Vaferi, Behzad... more authors ... less authors ( MDPI , 2022 , Article)Biodegradable polymers have recently found significant applications in pharmaceutics processing and drug release/delivery. Composites based on poly (L-lactic acid) (PLLA) have been suggested to enhance the crystallization ... -
Novel and robust machine learning approach for estimating the fouling factor in heat exchangers
Hosseini, Saleh; Khandakar, Amith; Chowdhury, Muhammad E.H.; Ayari, Mohamed Arselene; Rahman, Tawsifur; Chowdhury, Moajjem Hossain; Vaferi, Behzad... more authors ... less authors ( Elsevier , 2022 , Article)The fouling factor (Rf) is an operating index for measuring an undesirable effect of solids’ deposition on the heat transfer ability of heat exchangers. Accurate prediction of the fouling factor helps appropriate scheduling ...