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https://hdl.handle.net/20.500.13091/2464
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DC Field | Value | Language |
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dc.contributor.author | Dinçer, Kevser | - |
dc.contributor.author | Özaytekin, İlkay | - |
dc.date.accessioned | 2022-05-23T20:23:40Z | - |
dc.date.available | 2022-05-23T20:23:40Z | - |
dc.date.issued | 2022 | - |
dc.identifier.issn | 2193-567X | - |
dc.identifier.issn | 2191-4281 | - |
dc.identifier.uri | https://doi.org/10.1007/s13369-022-06883-6 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.13091/2464 | - |
dc.description.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. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer Heidelberg | en_US |
dc.relation.ispartof | Arabian Journal For Science And Engineering | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | PS | en_US |
dc.subject | Ti4O7 composite | en_US |
dc.subject | Polystyrene nanofibers | en_US |
dc.subject | Rule-based fuzzy logic | en_US |
dc.subject | Diesel oil | en_US |
dc.subject | Sorption capacity | en_US |
dc.subject | Fuzzy-Logic | en_US |
dc.subject | Polystyrene Fibers | en_US |
dc.subject | Electrospun | en_US |
dc.subject | Morphology | en_US |
dc.subject | Membranes | en_US |
dc.subject | Polymer | en_US |
dc.title | 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 | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1007/s13369-022-06883-6 | - |
dc.identifier.scopus | 2-s2.0-85129763806 | en_US |
dc.department | Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Makine Mühendisliği Bölümü | en_US |
dc.department | Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Kimya Mühendisliği Bölümü | en_US |
dc.identifier.wos | WOS:000793000300001 | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.identifier.scopusquality | Q1 | - |
item.languageiso639-1 | en | - |
item.fulltext | With Fulltext | - |
item.cerifentitytype | Publications | - |
item.openairetype | Article | - |
item.grantfulltext | embargo_20300101 | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
crisitem.author.dept | 02.10. Department of Mechanical Engineering | - |
crisitem.author.dept | 02.01. Department of Chemical Engineering | - |
Appears in Collections: | Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections |
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s13369-022-06883-6.pdf Until 2030-01-01 | 4.87 MB | Adobe PDF | View/Open Request a copy |
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