dc.creator | Živković, Luka | |
dc.creator | Vidaković-Koch, Tanja | |
dc.creator | Petkovska, Menka | |
dc.date.accessioned | 2021-03-10T14:18:47Z | |
dc.date.available | 2021-03-10T14:18:47Z | |
dc.date.issued | 2020 | |
dc.identifier.issn | 2227-9717 | |
dc.identifier.uri | http://TechnoRep.tmf.bg.ac.rs/handle/123456789/4437 | |
dc.description.abstract | The 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.publisher | MDPI, Basel | |
dc.rights | openAccess | |
dc.source | Processes | |
dc.subject | nonlinear process dynamics | en |
dc.subject | frequency response functions | en |
dc.subject | experimental identification | en |
dc.subject | periodic processes | en |
dc.subject | process intensification | en |
dc.subject | process systems engineering | en |
dc.title | Computer-Aided Nonlinear Frequency Response Method for Investigating the Dynamics of Chemical Engineering Systems | en |
dc.type | article | |
dc.rights.license | ARR | |
dc.citation.issue | 11 | |
dc.citation.other | 8(11): - | |
dc.citation.rank | M22 | |
dc.citation.volume | 8 | |
dc.identifier.doi | 10.3390/pr8111354 | |
dc.identifier.fulltext | http://TechnoRep.tmf.bg.ac.rs/bitstream/id/7203/Computer-Aided_Nonlinear_Frequency_pub_2020.pdf | |
dc.identifier.scopus | 2-s2.0-85094664492 | |
dc.identifier.wos | 000593747100001 | |
dc.type.version | publishedVersion | |