Behaviors of Removing Diesel Oil From Water With Ps/Ti4o7 Composite Nanofibers: Modeling Diesel Oil Sorption Capacity for Tap Water and Investigation of the Effects of Ph on Sorption at Different Temperatures for Times
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Date
2022
Authors
Dinçer, Kevser
Özaytekin, İlkay
Journal Title
Journal ISSN
Volume Title
Publisher
Springer Heidelberg
Open Access Color
Green Open Access
No
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Publicly Funded
No
Abstract
In this study, pure polystyrene nanofiber and polystyrene composite nanofibers with different ratios of Ti4O7 were obtained. Diesel oil sorption of the obtained nanofibers was investigated in two experimental studies. The aim of the first was to experimentally determine the nanofiber with the fastest diesel oil sorption capacity. For this purpose, the diesel oil sorption capacity (q) was examined for both pure polystyrene (PS) nanofibers and PS nanofibers with 15 wt% and 25 wt% Ti4O7 nanoparticle additives in different volumetric mixing ratios (Vr) of diesel oil and tap water. The results of this study determined that the fastest diesel oil sorbent capacity was formed in 15 wt% Ti4O7 nanoparticle-doped PS nanofiber (PSNF2). The data were modeled with Rule-Based Mamdani Type Fuzzy Logic (RBMTF). The input parameters of RBMTF were density (D), Vr, time (t), initial mass of fibers (m(o)), and tap water sorption mass (m(w)), while the q was output parameter. The multiple coefficient of determination for q was calculated as R-2 = 0.9825. The purpose of the second experimental study was to examine the behavioral performance (Delta m) of nanoparticles-doped PS nanofibers (PSNF2), which has the fastest the diesel oil sorption capacity, at different pH and different temperatures, according to different timings. In this experimental study, it was determined that the behavior performance of PSNF2 was the highest at pH7, especially at 20 degrees C for the first minute.
Description
Keywords
PS, Ti4O7 composite, Polystyrene nanofibers, Rule-based fuzzy logic, Diesel oil, Sorption capacity, Fuzzy-Logic, Polystyrene Fibers, Electrospun, Morphology, Membranes, Polymer
Turkish CoHE Thesis Center URL
Fields of Science
02 engineering and technology, 0210 nano-technology
Citation
WoS Q
Q2
Scopus Q
Q1

OpenCitations Citation Count
N/A
Source
Arabian Journal For Science And Engineering
Volume
47
Issue
Start Page
16223
End Page
16237
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