Приказ основних података о документу

dc.creatorŽivković, Luka
dc.creatorVidaković-Koch, Tanja
dc.creatorPetkovska, Menka
dc.date.accessioned2021-03-10T14:18:47Z
dc.date.available2021-03-10T14:18:47Z
dc.date.issued2020
dc.identifier.issn2227-9717
dc.identifier.urihttp://TechnoRep.tmf.bg.ac.rs/handle/123456789/4437
dc.description.abstractThe Nonlinear Frequency Response (NFR) method is a useful Process Systems Engineering tool for developing experimental techniques and periodic processes that exploit the system nonlinearity. The basic and most time-consuming step of the NFR method is the derivation of frequency response functions (FRFs). The computer-aided Nonlinear Frequency Response (cNFR) method, presented in this work, uses a software application for automatic derivation of the FRFs, thus making the NFR analysis much simpler, even for systems with complex dynamics. The cNFR application uses an Excel user-friendly interface for defining the model equations and variables, and MATLAB code which performs analytical derivations. As a result, the cNFR application generates MATLAB files containing the derived FRFs in a symbolic and algebraic vector form. In this paper, the software is explained in detail and illustrated through: (1) analysis of periodic operation of an isothermal continuous stirred-tank reactor with a simple reaction mechanism, and (2) experimental identification of electrochemical oxygen reduction reaction.en
dc.publisherMDPI, Basel
dc.rightsopenAccess
dc.sourceProcesses
dc.subjectnonlinear process dynamicsen
dc.subjectfrequency response functionsen
dc.subjectexperimental identificationen
dc.subjectperiodic processesen
dc.subjectprocess intensificationen
dc.subjectprocess systems engineeringen
dc.titleComputer-Aided Nonlinear Frequency Response Method for Investigating the Dynamics of Chemical Engineering Systemsen
dc.typearticle
dc.rights.licenseARR
dc.citation.issue11
dc.citation.other8(11): -
dc.citation.rankM22
dc.citation.volume8
dc.identifier.doi10.3390/pr8111354
dc.identifier.fulltexthttp://TechnoRep.tmf.bg.ac.rs/bitstream/id/7203/Computer-Aided_Nonlinear_Frequency_pub_2020.pdf
dc.identifier.scopus2-s2.0-85094664492
dc.identifier.wos000593747100001
dc.type.versionpublishedVersion


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Приказ основних података о документу