Modeling and Ulam-Hyers stability analysis of oleic acid epoxidation by using a fractional-order kinetic model

dc.contributor.authorXu, Changjin
dc.contributor.authorFarman, Muhammad
dc.contributor.authorShehzad, Aamir
dc.contributor.authorNisar, Kottakkaran Sooppy
dc.date.accessioned2026-02-06T18:33:39Z
dc.date.issued2025
dc.departmentDoğu Akdeniz Üniversitesi
dc.description.abstractGovernment initiatives, price cuts, and innovations in technology have caused a shift in the world's raw material consumption towards renewable materials. The polymer industry has shown particular interest in studies on more environmentally friendly epoxidation processes that use vegetable oils. Epoxidized vegetable oils are renewable, affordable, and eco-friendly, which makes them a promising green material to partially replace and toughen polymers derived from petrochemicals. Using a kinetic model from the literature, this study develops a system of fractional-order differential equations to investigate the significance of oleic acid epoxidation. With oleic acid serving as the primary raw material, the study focuses on producing epoxidized oleic acid with a high yield and a longer reaction time. We apply both qualitative and quantitative analysis to the model using fixed-point theorems. The model's Ulam-Hyers stability is established. Investigation of the fractional operator's effect is done through computational simulations and the Laplace Adomian decomposition technique. The investigation of the effects of fractional operators on the epoxidation process reveals that temperature, molar ratios, and fractional order are significant determinants of the process.
dc.description.sponsorshipNational Natural Science Foundation of China [12261015, 62062018]; Project of High-Level Innovative Talents of Guizhou Province [[2016]5651]; Guizhou Key Laboratory of Big Data Statistical Analysis [[2019]5103]; University Science and Technology Top Talents Project of Guizhou Province [KY[2018]047]
dc.description.sponsorshipNational Natural Science Foundation of China, Grant/Award Number: 12261015 and 62062018; Project of High-Level Innovative Talents of Guizhou Province, Grant/Award Number: [2016]5651; Guizhou Key Laboratory of Big Data Statistical Analysis, Grant/Award Number: [2019]5103; University Science and Technology Top Talents Project of Guizhou Province, Grant/Award Number: KY[2018]047
dc.identifier.doi10.1002/mma.10510
dc.identifier.endpage3747
dc.identifier.issn0170-4214
dc.identifier.issn1099-1476
dc.identifier.issue3
dc.identifier.orcid0000-0001-5844-2985
dc.identifier.orcid0000-0001-5769-4320
dc.identifier.scopus2-s2.0-85204545410
dc.identifier.scopusqualityQ1
dc.identifier.startpage3726
dc.identifier.urihttps://doi.org/10.1002/mma.10510
dc.identifier.urihttps://hdl.handle.net/11129/11431
dc.identifier.volume48
dc.identifier.wosWOS:001318837500001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherWiley
dc.relation.ispartofMathematical Methods in the Applied Sciences
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260204
dc.subjectBanach fixed point
dc.subjectfractional-order differential equations
dc.subjectkinetic model
dc.subjectLaplace transform
dc.subjectoleic acid epoxidation
dc.subjectUlam-Hyers stability
dc.titleModeling and Ulam-Hyers stability analysis of oleic acid epoxidation by using a fractional-order kinetic model
dc.typeArticle

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