dc.contributor.author | Igathinathane, C. | |
dc.contributor.author | Ulusoy, U. | |
dc.contributor.author | Pordesimo, L. O. | |
dc.date.accessioned | 2019-07-27T12:10:23Z | |
dc.date.accessioned | 2019-07-28T10:04:44Z | |
dc.date.available | 2019-07-27T12:10:23Z | |
dc.date.available | 2019-07-28T10:04:44Z | |
dc.date.issued | 2012 | |
dc.identifier.issn | 0032-5910 | |
dc.identifier.uri | https://dx.doi.org/10.1016/j.powtec.2011.09.037 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12418/9383 | |
dc.description | WOS: 000299140100018 | en_US |
dc.description.abstract | A reliable and accurate measurement of particle size and particle size distribution (PSD) is central to characterization of particulate minerals. Using mineral celestite (SrSO(4)) as the test material, an inexpensive machine vision approach as an alternative to standard mechanical sieving was proposed and results were compared. The machine vision approach used a user-coded ImageJ plugin that processed the digital image in a sieveless manner and automated the PSD analysis. A new approach of employing sum of volumes (Volume) as weighting factor was developed and utilized in the ASABE standard PSD analysis. The plugin also evaluated 22 significant dimensions characterizing samples and 21 PSD parameters. According to Folk and Ward's classification, the PSD of ball-milled celestite was "very finely skewed" and "leptokurtic". The PSD of celestite followed a lognormal distribution, and the plot against particle size exhibited almost a linear trend for both machine vision and mechanical sieving methods. The cumulative undersize PSD characteristics of both methods matched closely when the width-based mechanical sieving results were transformed to lengths by applying the shape factor (width/length). Based on the study, this machine vision approach can be utilized for PSD analysis of particulate minerals and similar products. Published by Elsevier B.V. | en_US |
dc.description.sponsorship | Northern Great Plains Research Laboratory, USDA-ARS, Mandan, ND, USA | en_US |
dc.description.sponsorship | The support extended by the Northern Great Plains Research Laboratory, USDA-ARS, Mandan, ND, USA to the North Dakota State University, Fargo, ND, USA for the collaborative research efforts is gratefully acknowledged. Thanks are extended to the Department of Mining Engineering at Cumhuriyet University, Sivas, Turkey for the facility of Mineral Processing Laboratory. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | ELSEVIER SCIENCE SA | en_US |
dc.relation.isversionof | 10.1016/j.powtec.2011.09.037 | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Ball mill | en_US |
dc.subject | Dimensions | en_US |
dc.subject | Fiji | en_US |
dc.subject | ImageJ plugin | en_US |
dc.subject | Image processing | en_US |
dc.subject | Particulate material | en_US |
dc.title | Comparison of particle size distribution of celestite mineral by machine vision Sigma Volume approach and mechanical sieving | en_US |
dc.type | article | en_US |
dc.relation.journal | POWDER TECHNOLOGY | en_US |
dc.contributor.department | [Igathinathane, C.] N Dakota State Univ, Dept Agr & Biosyst Engn, Fargo, ND 58102 USA -- [Ulusoy, U.] Cumhuriyet Univ, Dept Min Engn, TR-58140 Sivas, Turkey -- [Pordesimo, L. O.] ADM Alliance Nutr, Quincy, IL 62301 USA | en_US |
dc.contributor.authorID | Ulusoy, Ugur -- 0000-0002-2634-7964; Cannayen, Igathinathane -- 0000-0001-8884-7959 | en_US |
dc.identifier.volume | 215-16 | en_US |
dc.identifier.endpage | 146 | en_US |
dc.identifier.startpage | 137 | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |