Model-driven approach to improve sago drying with a fluidized bed dryer

Nur Tantiyani Ali Othman, . and Nurfadilah Izaty Senu, . (2024) Model-driven approach to improve sago drying with a fluidized bed dryer. Pertanika Journal of Science & Technology (Malaysia), 32 (3). 1363 -1384. ISSN 2231-8526

This study presents a model-driven approach to enhance the efficiency of sago drying utilizing a two-dimensional fluidized bed dryer (FBD). ANSYS® DesignModeler™ 2020 R2 software was employed to simulate the drying profile, considering variations in sago bagasse particle diameter (ranging from 500 to 2000 µm), hot air temperature (ranging from 50 to 90 °C), and inlet air velocity (ranging from 1.5 to 2.1 m/s). The simulation results provided valuable insights into the interplay between these critical drying parameters. The model enabled the prediction of moisture content profiles during the sago drying process under different conditions, thereby facilitating comprehension of the system’s behavior. Using Design Expert® 7.00 (DX7), considering energy efficiency and product quality, an optimal set of conditions for sago drying was determined at 2000 µm, 90 °C and 2.1 m/s. This approach not only streamlined the drying process but also significantly reduced energy consumption while ensuring consistent and high-quality sago. The findings of this research offer a practical and sustainable solution for sago producers, which, when applied, can contribute to improved product quality, reduced production costs, and enhanced food security in the region. Furthermore, the model-driven approach and the integration of specialized software tools demonstrate the potential for broader applications in optimizing various drying processes in the food industry.

Full text available from: Official URL: http://www.pertanika.upm.edu.my/resources/files/Pe...

Abstract

This study presents a model-driven approach to enhance the efficiency of sago drying utilizing a two-dimensional fluidized bed dryer (FBD). ANSYS® DesignModeler™ 2020 R2 software was employed to simulate the drying profile, considering variations in sago bagasse particle diameter (ranging from 500 to 2000 µm), hot air temperature (ranging from 50 to 90 °C), and inlet air velocity (ranging from 1.5 to 2.1 m/s). The simulation results provided valuable insights into the interplay between these critical drying parameters. The model enabled the prediction of moisture content profiles during the sago drying process under different conditions, thereby facilitating comprehension of the system’s behavior. Using Design Expert® 7.00 (DX7), considering energy efficiency and product quality, an optimal set of conditions for sago drying was determined at 2000 µm, 90 °C and 2.1 m/s. This approach not only streamlined the drying process but also significantly reduced energy consumption while ensuring consistent and high-quality sago. The findings of this research offer a practical and sustainable solution for sago producers, which, when applied, can contribute to improved product quality, reduced production costs, and enhanced food security in the region. Furthermore, the model-driven approach and the integration of specialized software tools demonstrate the potential for broader applications in optimizing various drying processes in the food industry.

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Item Type:	Article
AGROVOC Term:	sago
AGROVOC Term:	drying
AGROVOC Term:	simulation
AGROVOC Term:	food industry
AGROVOC Term:	hot air drying
AGROVOC Term:	energy efficiency
AGROVOC Term:	product quality
AGROVOC Term:	moisture content
AGROVOC Term:	food security
AGROVOC Term:	production costs
Geographical Term:	Malaysia
Uncontrolled Keywords:	Computational fluid dynamics, drying, fluidized bed dryer, respond surface methodology, sago waste
Depositing User:	Ms. Azariah Hashim
Date Deposited:	22 Apr 2026 01:59
Last Modified:	22 Apr 2026 01:59
URI:	http://webagris.upm.edu.my/id/eprint/2987

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