dc.contributor.author | Ulusoy, Ugur | |
dc.contributor.author | Igathinathane, C. | |
dc.date.accessioned | 2019-07-27T12:10:23Z | |
dc.date.accessioned | 2019-07-28T09:46:00Z | |
dc.date.available | 2019-07-27T12:10:23Z | |
dc.date.available | 2019-07-28T09:46:00Z | |
dc.date.issued | 2016 | |
dc.identifier.issn | 0378-3820 | |
dc.identifier.issn | 1873-7188 | |
dc.identifier.uri | https://dx.doi.org/10.1016/j.fuproc.2015.11.007 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12418/7442 | |
dc.description | WOS: 000369455300012 | en_US |
dc.description.abstract | Particle size distribution (PSD) of lignite and hard coals ground by ball and Gy-Ro mills were determined and compared using mechanical sieving (MS; direct, width-classification) and dynamic image analysis (DIA; indirect, length-classification), expressed in terms of sieves opening diameter and equivalent circular area diameter. Ground coal PSD data (eight combinations) were visualized and studied using length-transformation on MS and DIA using log-normal distribution plots. Data were also analyzed and compared by developing PSD models, namely Gaudin-Schuhmann (GS) and Rosin-Rammler (RR). In general, in the fine particle range below 100 mu m, all ground coal samples exhibited similar PSD, for both MS and DIA methods. On PSD modeling, RR model (R-2 >= 0.81; AIC <= -8.6) fitted well the observation over the entire range of particles sizes produced by both ball and Gy-Ro mills compared to GS model (R-2 >= 0.69; AIC <= -7.3). DIA can easily determine the particle size ranges below 100 mu m, while MS have only limited sieves in this range. Besides, DIA has produced more accurate PSD results than MS especially 38 pm and below. Thus, DIA and RR model can be recommended for PSD analysis of fine particulate coals, minerals, and similar products. (C) 2015 Elsevier B.V. All rights reserved. | en_US |
dc.description.sponsorship | CUBAP (Scientific Research Project Fund of Cumhuriyet University) [M472] | en_US |
dc.description.sponsorship | This work is supported by the CUBAP (Scientific Research Project Fund of Cumhuriyet University) under the project number M472 between Department of Mining Engineering of Cumhuriyet University, Turkey and Department of Agricultural and Biosystems Engineering of North Dakota State University, Fargo, ND, USA. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | ELSEVIER SCIENCE BV | en_US |
dc.relation.isversionof | 10.1016/j.fuproc.2015.11.007 | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Coal processing | en_US |
dc.subject | Dimensions | en_US |
dc.subject | Grinding | en_US |
dc.subject | Image processing | en_US |
dc.subject | Particulate material | en_US |
dc.subject | Particle size | en_US |
dc.title | Particle size distribution modeling of milled coals by dynamic image analysis and mechanical sieving | en_US |
dc.type | article | en_US |
dc.relation.journal | FUEL PROCESSING TECHNOLOGY | en_US |
dc.contributor.department | [Ulusoy, Ugur] Cumhuriyet Univ, Dept Min Engn, TR-58140 Sivas, Turkey -- [Igathinathane, C.] N Dakota State Univ, Dept Agr & Biosyst Engn, 1221 Albrecht Blvd, Fargo, ND 58102 USA | en_US |
dc.contributor.authorID | Ulusoy, Ugur -- 0000-0002-2634-7964; Cannayen, Igathinathane -- 0000-0001-8884-7959 | en_US |
dc.identifier.volume | 143 | en_US |
dc.identifier.endpage | 109 | en_US |
dc.identifier.startpage | 100 | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |