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Soni RK, Chinthapudi E, Tripathy SK, Bose M, Goswami PS. Review on the chemical reduction modelling of hematite iron ore to magnetite in fluidized bed reactor. REV CHEM ENG 2022. [DOI: 10.1515/revce-2022-0021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Abstract
Steel production is considered as one of the major backbones of many economies. Though blast furnace is the primary route of steel production, the industries are willing to alternatives technologies such as the high temperature-controlled conversion of hematite to magnetite. The geological and mineralogical characteristics of the low-grade iron ores possess difficulties in their conventional enrichment. The literature concludes the advantages of high-temperature conversion in terms of easiness in downstream operations caused by decreased hardness and increased magnetic susceptibility of magnetite. The modelling work has been primarily focused on the direct reduction of iron ore to metallic iron. The present compilation discusses the scientific and engineering developments on the reduction-roasting of iron-ore followed by the CFD–DEM modelling and simulation work performed to reduce iron ore to magnetite. It provides a comprehensive review of the experimental and industrial progress done in the area.
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Affiliation(s)
- Rahul K. Soni
- CSIR-Institute of Minerals & Materials Technology , Bhubaneswar , India
| | | | | | - Manaswita Bose
- Department of Chemical Engineering , Indian Institute of Technology Bombay , Mumbai , India
| | - Partha S. Goswami
- Department of Chemical Engineering , Indian Institute of Technology Bombay , Mumbai , India
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Reddy EVC, Varghese MM, Vakamalla TR. Effect of particle shape on the hydrodynamics of gas-solid fluidized bed. Chem Eng Res Des 2022. [DOI: 10.1016/j.cherd.2022.11.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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3
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A coarse-grained parcel method for heat and mass transfer simulations of spray coating processes. ADV POWDER TECHNOL 2022. [DOI: 10.1016/j.apt.2022.103590] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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Lungu M, Siame J, Mukosha L. Coarse-grained CFD-DEM simulations of fluidization with large particles. POWDER TECHNOL 2022. [DOI: 10.1016/j.powtec.2022.117344] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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Chauhan V, Chavan PD, Datta S, Saha S, Sahu G, Dhaigude ND. A transient Eulerian-Eulerian simulation of bubbling regime hydrodynamics of coal ash particles in fluidized bed using different drag models. ADV POWDER TECHNOL 2021. [DOI: 10.1016/j.apt.2021.12.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
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Pairing Experimental and Mathematical Modeling Studies on Fluidized Beds for Enhancement of Models Predictive Quality: A Current Status Overview. Processes (Basel) 2021. [DOI: 10.3390/pr9111863] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Modeling of gas-solid fluidized systems has been a prevailing challenge over the last few decades. With different approaches and implementing different sub-models to capture the essential multiphase and multiscale phenomena in these systems, major advances have been achieved, even though most models are only subject to a practical validation of macroscopic parameters. The current description of fluidized beds through mathematical models relies on the inclusion of vast sub-models, leading to an unquantifiable degree of uncertainty on the models’ applicability for extrapolation studies. Furthermore, each closure and fitting parameter in the model represents a possible source of deviation, and their optimization, hence, becomes another major challenge. The recent advances in measurement techniques can enable us to troubleshoot and optimize the implemented models and sub-models based on local scale measurements. Local multiphase hydrodynamic information obtained by advanced measurement techniques can enable the validation of local predictions and optimization of the coupled sub-models, leading to the development of simplified and highly predictive models. Thus, pairing advanced experimental studies on these systems with insightful modeling approaches is required to advance the shortcoming and enhance the predictive quality of the models. In this work, an overview of the status of modeling and experimental measurement techniques for gas-solid fluidized beds is presented; then, an overview on pairing both experimental and modeling studies to improve the models’ local predictions for fluidized beds is presented.
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Bhonsale S, Scott L, Ghadiri M, Van Impe J. Numerical Simulation of Particle Dynamics in a Spiral Jet Mill via Coupled CFD-DEM. Pharmaceutics 2021; 13:pharmaceutics13070937. [PMID: 34201853 PMCID: PMC8308980 DOI: 10.3390/pharmaceutics13070937] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 06/16/2021] [Accepted: 06/19/2021] [Indexed: 11/16/2022] Open
Abstract
Spiral jet mills are ubiquitous in the pharmaceutical industry. Breakage and classification in spiral jet mills occur due to complex interactions between the fluid and the solid phases. The study of these interactions requires the use of computational fluid dynamics (CFD) for the fluid phase coupled with discrete element models (DEM) for the particle phase. In this study, we investigate particle dynamics in a 50-mm spiral jet mill through coupled CFD-DEM simulations. The simulations showed that the fluid was significantly decelerated by the presence of the particles in the milling chamber. Furthermore, we study the particle dynamics and collision statistics at two different operating conditions and three different particle loadings. As expected, the particle velocity was affected by both the particle loading and operating pressure. The particles moved slower at low pressures and high loadings. We also found that particle-particle collisions outnumbered particle-wall collisions.
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Affiliation(s)
- Satyajeet Bhonsale
- BioTeC+, Department of Chemical Engineering, Technology Campus Ghent, KU Leuven, Gebroeders de Smetstraat 1, 9000 Ghent, Belgium;
| | - Lewis Scott
- School of Chemical and Process Engineering, University of Leeds, Leeds LS2 9JT, UK; (L.S.); (M.G.)
| | - Mojtaba Ghadiri
- School of Chemical and Process Engineering, University of Leeds, Leeds LS2 9JT, UK; (L.S.); (M.G.)
| | - Jan Van Impe
- BioTeC+, Department of Chemical Engineering, Technology Campus Ghent, KU Leuven, Gebroeders de Smetstraat 1, 9000 Ghent, Belgium;
- Correspondence:
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Gómez N, Molina A, Marin GB, Van Geem KM. From 3D to 1D: Capturing the effect of particle clusters in downers in the fluid catalytic cracking of gasoil. Chem Eng Res Des 2021. [DOI: 10.1016/j.cherd.2021.04.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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10
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Norouzi HR, Golshan S, Zarghami R. On the drag force closures for multiphase flow modeling. CHEMICAL PRODUCT AND PROCESS MODELING 2021. [DOI: 10.1515/cppm-2020-0103] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Abstract
Drag force models are one of the most important factors that can affect TFM and CFD-DEM simulation results of two-phase systems. This article investigates the accuracies, implementation issues and limitations of the majority of the drag models for spherical, non-spherical and systems with size distribution and evaluates their performance in various simulations. Around 1888 data points were collected from 19 different sources to evaluate the drag force closures on mono-dispersed spherical particles. The Reynolds number and fluid volume fraction ranges were between 0.01 and 10,000 and between 0.33 and 1, respectively. In addition, 776 data points were collected from seven different sources to evaluate the drag force closures on poly-dispersed spherical particles. The Reynolds numbers were between 0.01 and 500, fluid volume fractions between 0.33 and 0.9, and diameter ratios up to 10. A comprehensive discussion on the accuracy and application of these models is given in the article.
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Affiliation(s)
- Hamid Reza Norouzi
- Department of Chemical Engineering , Center of Engineering and Multiscale Modeling of Fluid Flow (CEMF), Amirkabir University of Technology , PO Box: 15875-4413, Hafez 424 , Tehran , Iran
| | - Shahab Golshan
- Process Design and Simulation Research Center , School of Chemical Engineering, College of Engineering, University of Tehran , P.O. Box 11155-4563 , Tehran , Iran
| | - Reza Zarghami
- Process Design and Simulation Research Center , School of Chemical Engineering, College of Engineering, University of Tehran , P.O. Box 11155-4563 , Tehran , Iran
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Wang T, Wang S, Shen Y. Particle-scale study of gas-solid flows in a bubbling fluidised bed: Effect of drag force and collision models. POWDER TECHNOL 2021. [DOI: 10.1016/j.powtec.2021.02.034] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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12
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Uribe S, Taofeeq H, Al‐Dahhan M. Modelling and validation of a gas‐solid fluidized bed using advanced measurement techniques. CAN J CHEM ENG 2021. [DOI: 10.1002/cjce.24070] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Sebastián Uribe
- Chemical and Biochemical Engineering Department Missouri University of Science and Technology Rolla Missouri USA
| | - Haidar Taofeeq
- Chemical Engineering Department, College of Engineering Al‐Nahrain University Baghdad Iraq
- Prosthetics and Orthotics Engineering Department, College of Engineering Al‐Nahrain University Baghdad Iraq
| | - Muthanna Al‐Dahhan
- Chemical and Biochemical Engineering Department Missouri University of Science and Technology Rolla Missouri USA
- Mining and Nuclear Engineering Department Missouri University of Science and Technology Rolla Missouri USA
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Adnan M, Sun J, Ahmad N, Wei JJ. Verification and validation of the DDPM-EMMS model for numerical simulations of bubbling, turbulent and circulating fluidized beds. POWDER TECHNOL 2021. [DOI: 10.1016/j.powtec.2020.10.041] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Lungu M, Siame J, Mukosha L. Comparison of CFD-DEM and TFM approaches for the simulation of the small scale challenge problem 1. POWDER TECHNOL 2021. [DOI: 10.1016/j.powtec.2020.09.071] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Adnan M, Sun J, Ahmad N, Wei JJ. Multiscale modeling of bubbling fluidized bed reactors using a hybrid Eulerian-Lagrangian dense discrete phase approach. POWDER TECHNOL 2020. [DOI: 10.1016/j.powtec.2020.07.111] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Golshan S, Sotudeh-Gharebagh R, Zarghami R, Mostoufi N, Blais B, Kuipers J. Review and implementation of CFD-DEM applied to chemical process systems. Chem Eng Sci 2020. [DOI: 10.1016/j.ces.2020.115646] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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