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Identification of the granulation process in the fluidized bed


Article Information

Title: Identification of the granulation process in the fluidized bed

Authors: Bogdan Y. Korniyenko, Liudmyla V. Osipa

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2018

Volume: 13

Issue: 14

Language: English

Categories

Abstract

The article describes an algorithm identification process of dehydration and granulation in a fluidized bed in the preparation of granulated product specified particulate composition. The conditions characterize the kinetics of stable continuous granulation process with increasing the mass fraction of a given granule diameter by 40%. As a result of calculations after the foregoing algorithm with the initial value of the coefficient K1=0,009, we got K1 values, by which the granules mass distribution function changes in accordance with the set equivalent diameter of granules <i>d<sub>?sd</sub></i>= 2,5 mm. At the transitional process duration of 3 s, the main changes of the K1 coefficient take place during the last 30 s and they are characterized by the significant reduction of the K1 coefficient, which results to the reduction of granules unloading of the set equivalent diameter from the apparatus. After the realization of the identification algorithm, the granules mass fraction of the set size of <i>d<sub>?sd</sub></i>=2, 5 mm increase from 0, 26 to 0, 45, which substantially improved the granules size composition of the final product. As a result of the research, the identification algorithm of the dehydration and granulation processes of mineral fertilizers in the apparatus with a fluidized bed is developed. The defined conditions characterize a stable kinetics of nonrecyclable continuous granulation process with the mass fraction increasing of granules diameter of 2,5 mm by 40%.


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