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The Order of Kinetic Models, Rate Constant Distribution, and Maximum Combustible Recovery in Gilsonite Flotation
Department of Mining Engineering, Urmia University, Urmia, Iran.
University of Kashan, Kashan, Iran.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Minerals and Metallurgical Engineering.ORCID iD: 0000-0002-5228-3888
2019 (English)In: Mining, Metallurgy & Exploration, ISSN 2524-3462Article in journal (Refereed) Epub ahead of print
Abstract [en]

Kinetic models are the most important tool for predicting and evaluating the performance of flotation circuits. Gilsonite is a natural fossil resource similar to an oil asphalt, high in asphaltenes. Here, in order to determine the kinetic order and flotation rate of a gilsonite sample, flotation experiments were carried out in both rougher and cleaner stages. Experiments were conducted using the combinations of oil–MIBC and gas oil–pine oil, with one test without collector and frother. Five kinetic models were applied to the data obtained from the flotation tests using MATLAB software. Statistical analysis showed that the results of the experiment with oil–MIBC were highly in compliance with all models. Kinetic constants (k) were calculated as 0.1548 (s−1) and 0.0450 (s−1) for rougher and cleaner stages, respectively. Rougher and cleaner tests without collector and frother also matched all models well (R2 > 0.98), with kvalues of 0.2163 (s−1) and 0.284 (s−1), respectively. The relationship between flotation rate constant, maximum combustible recovery, and particle size showed that the maximum flotation combustible recovery and flotation rate were obtained in the size range of −250 + 106 μm in the rougher and cleaner stages. The combustible recovery and flotation rate were higher in the rougher flotation process than in the cleaner stage.

Place, publisher, year, edition, pages
Springer, 2019.
Keywords [en]
Flotation, Kinetic models, Gilsonite Bitumen, Asphaltum, Iran
National Category
Metallurgy and Metallic Materials
Research subject
Mineral Processing
Identifiers
URN: urn:nbn:se:ltu:diva-75022DOI: 10.1007/s42461-019-0079-1OAI: oai:DiVA.org:ltu-75022DiVA, id: diva2:1330849
Available from: 2019-06-26 Created: 2019-06-26 Last updated: 2019-06-26

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Ghorbani, Yousef

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