Experimental and Prediction Using Artificial Neural Network of Bed Porosity and Solid Holdup in Viscous 3-Phase Inverse Fluidization
In the present investigation, bed porosity and solid holdup in viscous three-phase inverse fluidized bed (TPIFB) are determined for aqueous solutions of carboxy methyl cellulose (CMC) system using polyethylene and polypropylene as a particles with low-density and diameter (5 mm) in a (9.2 cm) inner...
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| Format: | article |
| Language: | EN |
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Al-Khwarizmi College of Engineering – University of Baghdad
2016
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| Online Access: | https://doaj.org/article/c92cc1c1adee4917ad9edb7882c3cfd5 |
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