Performance Prediction of the Magnetic Packed Bed Using Response Surface Methodology
dc.authorid | Yuceer, Mehmet/0000-0002-2648-3931 | |
dc.authorid | Abbasov, Tahmuraz/0000-0002-0290-8333; | |
dc.authorwosid | Yuceer, Mehmet/E-5110-2012 | |
dc.authorwosid | Abbasov, Tahmuraz/ABG-8739-2020 | |
dc.authorwosid | Yıldız, Zehra/AAR-4168-2020 | |
dc.contributor.author | Yildiz, Zehra | |
dc.contributor.author | Yuceer, Mehmet | |
dc.contributor.author | Abbasov, Teymuraz | |
dc.date.accessioned | 2024-08-04T20:37:29Z | |
dc.date.available | 2024-08-04T20:37:29Z | |
dc.date.issued | 2013 | |
dc.department | İnönü Üniversitesi | en_US |
dc.description.abstract | The present study aims to response surface methodology (RSM) for predicting magnetizing properties of the matrix's elements of the magnetic filter that are constructed from the bi-mixture of the magnetic balls of various sizes, employed in the cleaning of the disperse mixture of water, and corrosion particles (rust) of low concentrations. Based on a three-level central composite design (CCRD) involving the variables H external magnetic field strength (139.55-314.45 kA/m) x 1 , L filter length (0.01-0.10) x 2 and E porosity fraction factor (0.44-0.54) x 3 , a RSM for B-H relation of the matrix of the magnetic filter. In this study, a CCRD was created with 20 runs, 8 cube points, 4 center points per cube, 6 axial points, 2 center points per axial, and =1.68. Data obtained from RSM on B-H relation of the matrix of the magnetic filter were subjected to the analysis of variance and analyzed using a second-order polynomial equation, which resulted in the optimized process conditions of 407 kA/m as external magnetic field strength, filter length of 0.02m and the porosity fraction factor of 0.67. Maximum magnetic intensity (B=0.85 Tesla [T]) was obtained at the optimized conditions in the matrix of the magnetic filter. | en_US |
dc.identifier.doi | 10.1080/02726351.2012.682621 | |
dc.identifier.endpage | 185 | en_US |
dc.identifier.issn | 0272-6351 | |
dc.identifier.issue | 2 | en_US |
dc.identifier.scopus | 2-s2.0-84875339864 | en_US |
dc.identifier.scopusquality | N/A | en_US |
dc.identifier.startpage | 181 | en_US |
dc.identifier.uri | https://doi.org/10.1080/02726351.2012.682621 | |
dc.identifier.uri | https://hdl.handle.net/11616/95992 | |
dc.identifier.volume | 31 | en_US |
dc.identifier.wos | WOS:000316083300012 | en_US |
dc.identifier.wosquality | Q4 | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | Taylor & Francis Inc | en_US |
dc.relation.ispartof | Particulate Science and Technology | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Magnetic filter | en_US |
dc.subject | magnetizing curve | en_US |
dc.subject | response surface methodology | en_US |
dc.title | Performance Prediction of the Magnetic Packed Bed Using Response Surface Methodology | en_US |
dc.type | Article | en_US |