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Prediction of Moisture Content Removal from Sludge by Artificial Neural Network Modelling

Zhi Fu, Joidan Lau (2020) Prediction of Moisture Content Removal from Sludge by Artificial Neural Network Modelling. Universiti Teknologi PETRONAS. (Submitted)

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This study predicted the moisture content removed from sludge samples which underwent oven-dry tests by means of neural artificial network modelling. Sludge management is a global predicament in which challenges in solving it include cost- saving, space usage-optimization, and environmentalism. Information pertaining to drying sludge and removing its moisture content is pertinent as it determines sludge management quality as it determines the costs of management. Hence, a model predicting sludge moisture content could help provide more insight into dewatering sludge which is often overlooked, in contrast to techniques of dewatering sludge. There remains a dearth of research done in this regard. Hence this endeavor is worthwhile for the potential expansions of such work may make headway to more profitable discoveries.

Item Type: Final Year Project
Academic Subject : Academic Department - Civil Engineering - Water and environment - Environmental - Wastewater treatment
Subject: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Engineering > Civil
Depositing User: Ahmad Suhairi Mohamed Lazim
Date Deposited: 14 Sep 2021 08:30
Last Modified: 14 Sep 2021 08:30
URI: http://utpedia.utp.edu.my/id/eprint/21048

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