Study on the drying characteristics of green pellets of ultrafine iron ore concentrate
Ultrafine iron ore concentrate pose challenges such as poor pellet formation performance, low-bursting temperature, and a complex drying thermal regime. To examine the drying characteristics of green pellets made from ultrafine iron ore concentrate, the Weibull distribution function and Dincer model...
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| Format: | Article |
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University of Belgrade, Technical Faculty, Bor
2023-01-01
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| Series: | Journal of Mining and Metallurgy. Section B: Metallurgy |
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| Online Access: | https://doiserbia.nb.rs/img/doi/1450-5339/2023/1450-53392300018W.pdf |
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| author | Wen B.-L. Zhang X.-P. Liu D.-L. Li J.-X. Sun X.-D. Yang J.-L. |
| author_facet | Wen B.-L. Zhang X.-P. Liu D.-L. Li J.-X. Sun X.-D. Yang J.-L. |
| author_sort | Wen B.-L. |
| collection | DOAJ |
| description | Ultrafine iron ore concentrate pose challenges such as poor pellet formation performance, low-bursting temperature, and a complex drying thermal regime. To examine the drying characteristics of green pellets made from ultrafine iron ore concentrate, the Weibull distribution function and Dincer model were employed to fit and analyze the corresponding drying curve. The effects of drying temperature and air speed on the strength of dried pellets were also studied. The findings revealed that the drying process of green pellets of ultrafine iron ore concentrate involved three stages: ascending speed, constant speed, and descending speed. As the drying temperature and air speed increased, the drying time decreased. The coefficient of determination R2 for the fitted Weibull distribution function model ranged from 0.995 to 0.998, while the R2 value for the Dincer model ranged from 0.990 to 0.996. Both fitted models aligned with the experimental data and proved to be effective. According to the Bi values obtained through the Dincer model, raising the drying air speed in the initial stage and the drying air temperature in the subsequent stage of the drying system could efficiently remove moisture, reduce the risk of green pellet rupture, and maintain productivity. The moisture diffusion coefficient and convective mass transfer coefficient increased with rising temperature and air velocity, following the order of Deff > Dcal > D*eff as determined by the Weibull distribution function, Dincer model, and Fick’s second law. Additionally, the activation energy value of ultrafine iron ore concentrate for drying derived from the Arrhenius formula was 4515.60 J/(mol·K). Notably, increasing the drying temperature increased the strength of the dried particles due to their more compact and dense internal structure. This study offers theoretical support for simulating the drying of green ultrafine iron ore concentrate pellets and provides guidelines for selecting diverse drying conditions and designing drying equipment. |
| format | Article |
| id | doaj-art-47168a8529b74c4db4fbfca03e3fb1be |
| institution | Kabale University |
| issn | 1450-5339 2217-7175 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | University of Belgrade, Technical Faculty, Bor |
| record_format | Article |
| series | Journal of Mining and Metallurgy. Section B: Metallurgy |
| spelling | doaj-art-47168a8529b74c4db4fbfca03e3fb1be2025-02-03T00:42:49ZengUniversity of Belgrade, Technical Faculty, BorJournal of Mining and Metallurgy. Section B: Metallurgy1450-53392217-71752023-01-0159220521610.2298/JMMB220810018W1450-53392300018WStudy on the drying characteristics of green pellets of ultrafine iron ore concentrateWen B.-L.0Zhang X.-P.1Liu D.-L.2Li J.-X.3Sun X.-D.4Yang J.-L.5School of Metallurgical Engineering, Anhui University of Technology, Anhui, ChinaSchool of Metallurgical Engineering, Anhui University of Technology, Anhui, China + Ma΄anshan Iron and Steel Co. Ltd, Ma΄anshan, Anhui, ChinaFushun New Steel Co.Ltd., Liaoning, ChinaSchool of Metallurgical Engineering, Anhui University of Technology, Anhui, ChinaSchool of Metallurgical Engineering, Anhui University of Technology, Anhui, ChinaSchool of Metallurgical Engineering, Anhui University of Technology, Anhui, ChinaUltrafine iron ore concentrate pose challenges such as poor pellet formation performance, low-bursting temperature, and a complex drying thermal regime. To examine the drying characteristics of green pellets made from ultrafine iron ore concentrate, the Weibull distribution function and Dincer model were employed to fit and analyze the corresponding drying curve. The effects of drying temperature and air speed on the strength of dried pellets were also studied. The findings revealed that the drying process of green pellets of ultrafine iron ore concentrate involved three stages: ascending speed, constant speed, and descending speed. As the drying temperature and air speed increased, the drying time decreased. The coefficient of determination R2 for the fitted Weibull distribution function model ranged from 0.995 to 0.998, while the R2 value for the Dincer model ranged from 0.990 to 0.996. Both fitted models aligned with the experimental data and proved to be effective. According to the Bi values obtained through the Dincer model, raising the drying air speed in the initial stage and the drying air temperature in the subsequent stage of the drying system could efficiently remove moisture, reduce the risk of green pellet rupture, and maintain productivity. The moisture diffusion coefficient and convective mass transfer coefficient increased with rising temperature and air velocity, following the order of Deff > Dcal > D*eff as determined by the Weibull distribution function, Dincer model, and Fick’s second law. Additionally, the activation energy value of ultrafine iron ore concentrate for drying derived from the Arrhenius formula was 4515.60 J/(mol·K). Notably, increasing the drying temperature increased the strength of the dried particles due to their more compact and dense internal structure. This study offers theoretical support for simulating the drying of green ultrafine iron ore concentrate pellets and provides guidelines for selecting diverse drying conditions and designing drying equipment.https://doiserbia.nb.rs/img/doi/1450-5339/2023/1450-53392300018W.pdfultrafine iron ore concentratepelletsweibull distribution functiondincer modelmoisture diffusivity |
| spellingShingle | Wen B.-L. Zhang X.-P. Liu D.-L. Li J.-X. Sun X.-D. Yang J.-L. Study on the drying characteristics of green pellets of ultrafine iron ore concentrate Journal of Mining and Metallurgy. Section B: Metallurgy ultrafine iron ore concentrate pellets weibull distribution function dincer model moisture diffusivity |
| title | Study on the drying characteristics of green pellets of ultrafine iron ore concentrate |
| title_full | Study on the drying characteristics of green pellets of ultrafine iron ore concentrate |
| title_fullStr | Study on the drying characteristics of green pellets of ultrafine iron ore concentrate |
| title_full_unstemmed | Study on the drying characteristics of green pellets of ultrafine iron ore concentrate |
| title_short | Study on the drying characteristics of green pellets of ultrafine iron ore concentrate |
| title_sort | study on the drying characteristics of green pellets of ultrafine iron ore concentrate |
| topic | ultrafine iron ore concentrate pellets weibull distribution function dincer model moisture diffusivity |
| url | https://doiserbia.nb.rs/img/doi/1450-5339/2023/1450-53392300018W.pdf |
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