Experimental analysis of SMART scrubbing system with the principle of dynamic precipitation

This paper presents an experimental investigation of a SMART scrubbing system in sugar processing plant. The objectives are to address the problem and develop new technique to increase the efficiency and eliminate sugar sludge production downstream of process line. The SMART scrubbing effect of wate...

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Main Authors: Ravindran N., Hasini H.
Other Authors: 57205234491
Format: Article
Published: Science Publishing Corporation Inc 2023
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spelling my.uniten.dspace-240092023-05-29T14:54:14Z Experimental analysis of SMART scrubbing system with the principle of dynamic precipitation Ravindran N. Hasini H. 57205234491 6507435998 This paper presents an experimental investigation of a SMART scrubbing system in sugar processing plant. The objectives are to address the problem and develop new technique to increase the efficiency and eliminate sugar sludge production downstream of process line. The SMART scrubbing effect of water with the principal of dynamic precipitation was conducted on-site with calculated flow rate, which simulates the SMART scrubbing system. The on-site and scaled-down model experiments measure the upstream and downstream dust concentration and processes the flow rate of water required to counter the dust concentration based on the feedback flow. The investigation was conducted with a steady airflow of 6 m 3 /s with variation of water flow rates. The result of the on-site studies shows an excellent increase in average and maximum efficiencies of 98.77% and 99.3% respectively. � 2018 Authors. Final 2023-05-29T06:54:14Z 2023-05-29T06:54:14Z 2018 Article 10.14419/ijet.v7i4.35.22753 2-s2.0-85059244132 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059244132&doi=10.14419%2fijet.v7i4.35.22753&partnerID=40&md5=2f3f4cebf5aae68a7662a1f77eb132e1 https://irepository.uniten.edu.my/handle/123456789/24009 7 4 317 322 All Open Access, Bronze, Green Science Publishing Corporation Inc Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description This paper presents an experimental investigation of a SMART scrubbing system in sugar processing plant. The objectives are to address the problem and develop new technique to increase the efficiency and eliminate sugar sludge production downstream of process line. The SMART scrubbing effect of water with the principal of dynamic precipitation was conducted on-site with calculated flow rate, which simulates the SMART scrubbing system. The on-site and scaled-down model experiments measure the upstream and downstream dust concentration and processes the flow rate of water required to counter the dust concentration based on the feedback flow. The investigation was conducted with a steady airflow of 6 m 3 /s with variation of water flow rates. The result of the on-site studies shows an excellent increase in average and maximum efficiencies of 98.77% and 99.3% respectively. � 2018 Authors.
author2 57205234491
author_facet 57205234491
Ravindran N.
Hasini H.
format Article
author Ravindran N.
Hasini H.
spellingShingle Ravindran N.
Hasini H.
Experimental analysis of SMART scrubbing system with the principle of dynamic precipitation
author_sort Ravindran N.
title Experimental analysis of SMART scrubbing system with the principle of dynamic precipitation
title_short Experimental analysis of SMART scrubbing system with the principle of dynamic precipitation
title_full Experimental analysis of SMART scrubbing system with the principle of dynamic precipitation
title_fullStr Experimental analysis of SMART scrubbing system with the principle of dynamic precipitation
title_full_unstemmed Experimental analysis of SMART scrubbing system with the principle of dynamic precipitation
title_sort experimental analysis of smart scrubbing system with the principle of dynamic precipitation
publisher Science Publishing Corporation Inc
publishDate 2023
_version_ 1806425729405026304
score 13.211869