Study And Development Of Minimum Ignition Energy (Mie) Predictive Tool For Combustible Dust Using Machine Learning Application

Rejali, Alexter Alvin (2024) Study And Development Of Minimum Ignition Energy (Mie) Predictive Tool For Combustible Dust Using Machine Learning Application. [Final Year Project]

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Abstract

A dust explosion is a rapid combustion event involving suspended fine particles in an enclosed space, triggered by an ignition source and the presence of oxygen. Over 70% of dust in industries, including food ingredients, synthetic materials, metals, and traditional fuels, are combustible. Several parameters determine the possibility of a dust explosion such as minimum explosion concentration (MEC), minimum ignition energy (MIE) and minimum ignition temperature (MIT).

Item Type: Final Year Project
Subjects: T Technology > TP Chemical technology
Departments / MOR / COE: Engineering > Chemical
Depositing User: Mrs SHARIFAH FAHIMAH SAIYED YEOP
Date Deposited: 20 Feb 2025 03:59
Last Modified: 20 Feb 2025 03:59
URI: http://utpedia.utp.edu.my/id/eprint/30542

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