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

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Layan Ibrahim Aljohani
EE
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Danh Hisham Alhatim
ME
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Zaynab Ali Almubarak
CHE
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Semat Abdulaziz Al Salam
ME
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Taibah Ali Al Hamood
CHE
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Sara Saud Alshallali
ICS

Team Coach

DR. Yassmin Seid Ahmed
DR. Yassmin Seid Ahmed
Assistant Professor

Mechanical Engineering Dept.

Department of Mechanical Engineering