Term 252
Intelligent Filtration System for Reliable and Clean Feed
Project Type: Self-Initiated
Project Description
An intelligent multilayer filtration system integrating a 3 stage filter (coarse, medium, fine) with continuous sensor monitoring (pressure, flow rate, optical turbidity sensor). An AI based predictive model detects early clogging signs and automatically switches flow to a parallel standby filter, eliminating manual intervention and ensuring uninterrupted hydrocarbon feed.
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Project Team
Layan Ibrahim Aljohani
EEDanh Hisham Alhatim
MEZaynab Ali Almubarak
CHESemat Abdulaziz Al Salam
METaibah Ali Al Hamood
CHESara Saud Alshallali
ICSTeam Coach
DR. Yassmin Seid Ahmed
Assistant ProfessorMechanical Engineering Dept.
Department of Mechanical Engineering