Computational Fluid Dynamics (CFD) investigation on associated effect of classifier blades lengths and opening angles on coal classification efficiency in coal pulverizer

In order to achieve complete combustion of fuel in common thermal power plant, the process of coal fuel classification is crucial, which often governs by classifier in pulverizer. This is because smaller size of coal particle has higher surface area, and therefore able to produce higher combustion e...

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Main Authors: Ismail F.B., Al-Muhsen N.F.O., Hasini H., Kuan E.W.S.
Other Authors: 58027086700
Format: Article
Published: Elsevier Ltd 2023
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Institution: Universiti Tenaga Nasional
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spelling my.uniten.dspace-266432023-05-29T17:36:00Z Computational Fluid Dynamics (CFD) investigation on associated effect of classifier blades lengths and opening angles on coal classification efficiency in coal pulverizer Ismail F.B. Al-Muhsen N.F.O. Hasini H. Kuan E.W.S. 58027086700 57197748656 6507435998 57947563700 In order to achieve complete combustion of fuel in common thermal power plant, the process of coal fuel classification is crucial, which often governs by classifier in pulverizer. This is because smaller size of coal particle has higher surface area, and therefore able to produce higher combustion efficiency. This paper describes the Computational Fluid Dynamics (CFD) simulations of coal pulverizer were done for classifier with different blade length and at different opening angle. The objective of the work is to evaluate optimum classifier design with the highest coal fineness output and separation efficiencies. Preliminary work of validating simulation result with experimental result of classifier with initial geometry was done, and good agreement was obtained. Grade efficiencies and sharpness of cut of each different classifier model were determined by plotting of Tromp curves. Simulation studies showed that classifier blade length of 313.94 mm at 40� was found to be optimum, with 71.5% of particles passing fine size sieve (75 ?m) and 0.1852 sharpness of cut. Classification of fine coal by the optimum classifier model is improved by 10%, as compared to original classifier model used in industry. � 2022 The Author(s) Final 2023-05-29T09:36:00Z 2023-05-29T09:36:00Z 2022 Article 10.1016/j.cscee.2022.100266 2-s2.0-85140902918 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85140902918&doi=10.1016%2fj.cscee.2022.100266&partnerID=40&md5=11f354e600050c139d045486c84e1a28 https://irepository.uniten.edu.my/handle/123456789/26643 6 100266 All Open Access, Gold Elsevier Ltd Scopus
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description In order to achieve complete combustion of fuel in common thermal power plant, the process of coal fuel classification is crucial, which often governs by classifier in pulverizer. This is because smaller size of coal particle has higher surface area, and therefore able to produce higher combustion efficiency. This paper describes the Computational Fluid Dynamics (CFD) simulations of coal pulverizer were done for classifier with different blade length and at different opening angle. The objective of the work is to evaluate optimum classifier design with the highest coal fineness output and separation efficiencies. Preliminary work of validating simulation result with experimental result of classifier with initial geometry was done, and good agreement was obtained. Grade efficiencies and sharpness of cut of each different classifier model were determined by plotting of Tromp curves. Simulation studies showed that classifier blade length of 313.94 mm at 40� was found to be optimum, with 71.5% of particles passing fine size sieve (75 ?m) and 0.1852 sharpness of cut. Classification of fine coal by the optimum classifier model is improved by 10%, as compared to original classifier model used in industry. � 2022 The Author(s)
author2 58027086700
author_facet 58027086700
Ismail F.B.
Al-Muhsen N.F.O.
Hasini H.
Kuan E.W.S.
format Article
author Ismail F.B.
Al-Muhsen N.F.O.
Hasini H.
Kuan E.W.S.
spellingShingle Ismail F.B.
Al-Muhsen N.F.O.
Hasini H.
Kuan E.W.S.
Computational Fluid Dynamics (CFD) investigation on associated effect of classifier blades lengths and opening angles on coal classification efficiency in coal pulverizer
author_sort Ismail F.B.
title Computational Fluid Dynamics (CFD) investigation on associated effect of classifier blades lengths and opening angles on coal classification efficiency in coal pulverizer
title_short Computational Fluid Dynamics (CFD) investigation on associated effect of classifier blades lengths and opening angles on coal classification efficiency in coal pulverizer
title_full Computational Fluid Dynamics (CFD) investigation on associated effect of classifier blades lengths and opening angles on coal classification efficiency in coal pulverizer
title_fullStr Computational Fluid Dynamics (CFD) investigation on associated effect of classifier blades lengths and opening angles on coal classification efficiency in coal pulverizer
title_full_unstemmed Computational Fluid Dynamics (CFD) investigation on associated effect of classifier blades lengths and opening angles on coal classification efficiency in coal pulverizer
title_sort computational fluid dynamics (cfd) investigation on associated effect of classifier blades lengths and opening angles on coal classification efficiency in coal pulverizer
publisher Elsevier Ltd
publishDate 2023
_version_ 1806425731039756288