Experimental analysis and data-driven machine learning modelling of the minimum ignition temperature (MIT) of aluminium dust
The industrial sector continues to face difficulties in preventing dust explosions. Ignition, in particular, is a phenomenon that has yet to be fully comprehended. As a result, safety conditions pertaining to ignition control are rarely assessed to an adequate level. It is generally recognised that...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
Elsevier Ltd
2022
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130144978&doi=10.1016%2fj.fuel.2022.124569&partnerID=40&md5=cd74933c230631dbe848a735805ef4e7 http://eprints.utp.edu.my/33012/ |
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| Institution: | Universiti Teknologi Petronas |