Multiple phase flow identification using computational simulation and convolutional neural network
The Identification of gas-solid flow characterization in dense-phase pneumatic conveying particles is very important to a vast area of industrial fields such as chemical and pharmaceutical industries since a slight change in flow characteristics results in a completely different product. The motion...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2020
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| Online Access: | http://eprints.utm.my/id/eprint/93119/1/MohamedTawfikIbrahimMSKE2020.pdf |
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