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Received July 22, 2024
Revised September 24, 2024
Accepted September 24, 2024
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A Review of Experimental and CFD Techniques to Characterize Macromixing via the Intensity of Segregation in a Rotating Bar Reactor

Research Center of Sudan for High Gravity Engineering and Technology, Khartoum, Sudan 1Sudan University of Science and Technology, P.O. Box 72, Khartoum 11111, Sudan 2Research Center of the Ministry of Education for High Gravity Engineering and Technology, Beijing University of Chemical Technology, Beijing 100029, PR China
asad.85@hotmail.com
Korean Chemical Engineering Research, November 2024, 62(4), 296-311(16), 10.9713/kcer.2024.62.4.296 Epub 1 November 2024
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Abstract

Several experimental and Computational Fluid Dynamics (CFD) methods have been developed to analyze and

describe macromixing processes in a rotating bar reactor (RBR). This review provides an overview of the measurement

methods of macromixing and delivers an assessment based on the concentration field. The concentrations are directly

used to define the intensity of segregation (Is), and can reflect macromixing in a rotating bar reactor. Additionally, shows

the investigations of the techniques available for portraying the intensity of segregation. This research is organized into

three primary sections. The initial two sections focus on the overarching trends associated with the implementation of

Conductivity, Planar Laser-Induced Fluorescence, and Electrical Resistance Tomography methods in RBR. An examination of

the procedural steps, materials utilized, and the associated calculations was conducted. The final section addresses the

simulation model of Computational Fluid Dynamics (CFD), detailing the necessary parameters, including the equations

employed, boundary conditions, and the calculation procedures for determining the intensity of segregation. Subsequently, the

study elucidates the feasibility of employing CFD as a precise technique for evaluating macromixing. The experimental

techniques available were reviewed and compared in terms of their advantages, disadvantages, characterization capabilities,

and scope of application.

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