Modeling of the Effects of Cyclic Voltammetry (CV) Using Fuzzy Logic with Different Membership Functions for Proton Exchange Membrane Fuel Cell (PEM) with Polyvinyl Alcohol/Nano Silver (PVA/Ag)

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dc.contributor.authorErsoyoglu, Ali Serhat
dc.contributor.authorAta, Sadik
dc.contributor.authorDincer, Kevser
dc.contributor.authorOnal, Gurol
dc.contributor.authorYilmaz, Yusuf
dc.date.accessioned2020-03-26T19:42:06Z
dc.date.available2020-03-26T19:42:06Z
dc.date.issued2017
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractIn this study, the effects of cyclic voltammetry (CV) has been modeled with Rule-based mamdani-type fuzzy (RBMTF), by using experimental data for proton exchange membrane fuel cell with PVA/AG. In the system developed, RBMTF apply input parameters are CV, scan rate and time, output parameters are current density and voltage. 12300 values for experimental study also obtained with RBMTF. Membership functions (MFs) are the building blocks of fuzzy set theory, i.e., fuzziness in a fuzzy set is determined by its MF. Accordingly, the shapes of MFs are important for a particular problem since they effect on a fuzzy inference system. They may have different shapes like triangular, trapezoidal, Gaussian, etc. When the results obtained from RBMTF and statistical analyses of experimental data have been compared, it has been determined that the two groups of data are coherent, and that there is not a significant difference between them. As a result, this study indicates that RBMTF with different membership functions can be safely used for CV.en_US
dc.identifier.doi10.4028/www.scientific.net/NHC.16.67en_US
dc.identifier.endpage72en_US
dc.identifier.issn2297-3400en_US
dc.identifier.pmid#YOKen_US
dc.identifier.startpage67en_US
dc.identifier.urihttps://dx.doi.org/10.4028/www.scientific.net/NHC.16.67
dc.identifier.urihttps://hdl.handle.net/20.500.12395/35298
dc.identifier.volume16en_US
dc.identifier.wosWOS:000408119400013en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherTRANS TECH PUBLICATIONS LTDen_US
dc.relation.ispartofNANO HYBRIDS AND COMPOSITESen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectPEM fuel cellen_US
dc.subjectCyclic Voltammetry (CV)en_US
dc.subjectfuzzy logic modellingen_US
dc.titleModeling of the Effects of Cyclic Voltammetry (CV) Using Fuzzy Logic with Different Membership Functions for Proton Exchange Membrane Fuel Cell (PEM) with Polyvinyl Alcohol/Nano Silver (PVA/Ag)en_US
dc.typeArticleen_US

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