Flow regime identification and concentration distribution of solid particles flow in pipelines using electrodynamic tomography and artificial neural networks

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Flow regime identification and concentration distribution of solid particles flow in pipelines using electrodynamic tomography and artificial neural networks

Solid particles flow in a pipeline is a common means of transportation in industries. This is because pipeline transportation can avoid waste through spillage and minimizes the risk of handling of hazardous materials. Pharmaceutical industries, food stuff manufacturing industries, cement and chemica...

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Bibliographic Details
Main Authors:	Rahmat, Mohd. Fuaad, Ahmed Sabit, Hakilo
Format:	Conference or Workshop Item
Language:	English
Published:	2005
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/1848/ http://eprints.utm.my/1848/1/Fuaad05_Flow_Regime_Identification.pdf

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