A binder additional process in urea granule fertilizer by using adaptive fuzzy logic control
NORHIDAYAH Mohamad, NOR AZLINA Ab Aziz, NOR HIDAYATI Abdul Azizdownload PDF
Abstract. This paper presents the effect of binder feed rate addition towards ammonia gas released during urea granulation process. The binder feed rate as manipulated variable with few other constant parameters such as pressure and temperature of fluidized bed granulator. These parameters, binder flow rate and NH3 emission were used to indicate the function ability of the designated fuzzy logic. The performance index of this study is then defined with percentage error from experimental value and actual value. An adaptive Fuzzy Logic Controller (FLC) is proposed to control the system conditions closed to the reference values. As binder flow rate increases the higher is the emission of NH3. The average of error percentage for whole project was 6.91%. The highest and lowest error in percentages are 81.5 and 0 respectively. The result shows that the proposed method can be efficiently implemented in the real-time determination and control of optimal conditions for granulation processes with efficient energy and to minimize the amount of ammonia gas (NH3) release to the environment.
Urea Fertilizer, Granulation, Ammonia, Fuzzy Logic, Fluidized Bed
Published online 5/20/2023, 8 pages
Copyright © 2023 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA
Citation: NORHIDAYAH Mohamad, NOR AZLINA Ab Aziz, NOR HIDAYATI Abdul Aziz, A binder additional process in urea granule fertilizer by using adaptive fuzzy logic control, Materials Research Proceedings, Vol. 29, pp 391-398, 2023
The article was published as article 44 of the book Sustainable Processes and Clean Energy Transition
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