A novel approach to finding optimum operating conditions of design factors for the grinding experiment
dc.authorid | tekin, ilker/0000-0001-7400-4790 | |
dc.authorid | Ozdemir, Akin/0000-0002-1716-6694 | |
dc.contributor.author | Ucurum, Metin | |
dc.contributor.author | Ozdemir, Akin | |
dc.contributor.author | Teke, Cagatay | |
dc.contributor.author | Tekin, Ilker | |
dc.date.accessioned | 2024-10-04T18:48:08Z | |
dc.date.available | 2024-10-04T18:48:08Z | |
dc.date.issued | 2021 | |
dc.department | Bayburt Üniversitesi | en_US |
dc.description.abstract | The efficiency of grinding experiments is an important issue for many industries. In this paper, a central composite design-based methodology was proposed to investigate the four design factors that affect the particle sizes. The four design factors were specified as mill speed (% of N-c ), ball filling ratio (f(c) ), powder filling ratio (j(b) ) and grinding time (min). Another important issue was how to obtain an optimum operating condition for four design factors. For this particular purpose, a novel dual response optimization model was proposed using the particle sizes (d (10), d (50), and d (90)) and the span value concept. This proposed approach was compared to the desirability function-based optimization concept. The verification study of the experiment was also carried out. The results of the grinding experiment runs showed that the optimum operating conditions were mill speed 73.495% of N-c , ball filling ratio 0.354, powder filling ratio 0.157, and grinding time 70 min. In addition, d (10), d (50), and d (90) were found 3.31 mu m, 12 mu m, and 45.6 mu m, respectively. The span value was also found at 3.52. | en_US |
dc.identifier.doi | 10.1080/02726351.2019.1683663 | |
dc.identifier.endpage | 212 | en_US |
dc.identifier.issn | 0272-6351 | |
dc.identifier.issn | 1548-0046 | |
dc.identifier.issue | 2 | en_US |
dc.identifier.scopus | 2-s2.0-85074833504 | en_US |
dc.identifier.scopusquality | Q3 | en_US |
dc.identifier.startpage | 204 | en_US |
dc.identifier.uri | https://doi.org/10.1080/02726351.2019.1683663 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12403/2918 | |
dc.identifier.volume | 39 | en_US |
dc.identifier.wos | WOS:000612793800007 | en_US |
dc.identifier.wosquality | Q3 | 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 | Grinding experiment | en_US |
dc.subject | central composite design | en_US |
dc.subject | particle size | en_US |
dc.subject | span value | en_US |
dc.subject | optimization | en_US |
dc.title | A novel approach to finding optimum operating conditions of design factors for the grinding experiment | en_US |
dc.type | Article | en_US |