![](/images/graphics-bg.png)
Experimental and prediction using artificial neural network of bed porosity and solid holdup in viscous 3-phase inverse fluidization
Other Title(s)
التجريبية و التنبؤ باستخدام الشبكة العصبية الاصطناعية لمسامية الطبقة و المحتوى الحجمي للطور الصلب في أبراج معكوس التمييع اللزج ثلاثية الطور
Author
Source
al-Khwarizmi Engineering Journal
Issue
Vol. 12, Issue 3 (30 Sep. 2016), pp.26-37, 12 p.
Publisher
University of Baghdad al-Khwarizmi College of Engineering
Publication Date
2016-09-30
Country of Publication
Iraq
No. of Pages
12
Main Subjects
Topics
Abstract EN
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 diameter with height (200 cm) of vertical perspex column.
The effectiveness of gas velocity Ug , liquid velocity Ul, liquid viscosity |iL, and particle density ps on bed porosity BP and solid holdups sg were determined.
The bed porosity increases with "increasing gas velocity", "liquid velocity", and "liquid viscosity".
Solid holdup decreases with increasing gas, liquid velocities and liquid viscosity.
Solid holdup with "low density particles" shows a higher numerical quantity "than that in the beds" with "high density".
Levenberg-Marquardt back propagation of "artificial neural network (ANNs)" was utilized to predict the bed porosity and solid holdup.
The expected values are in an excellent relationship with the experimental values, where the advanced model is high-fidelity and own a large capacity to predict bed porosity and solid holdup.
American Psychological Association (APA)
Abd al-Rahman, Amir Aziz. 2016. Experimental and prediction using artificial neural network of bed porosity and solid holdup in viscous 3-phase inverse fluidization. al-Khwarizmi Engineering Journal،Vol. 12, no. 3, pp.26-37.
https://search.emarefa.net/detail/BIM-722746
Modern Language Association (MLA)
Abd al-Rahman, Amir Aziz. Experimental and prediction using artificial neural network of bed porosity and solid holdup in viscous 3-phase inverse fluidization. al-Khwarizmi Engineering Journal Vol. 12, no. 3 (2016), pp.26-37.
https://search.emarefa.net/detail/BIM-722746
American Medical Association (AMA)
Abd al-Rahman, Amir Aziz. Experimental and prediction using artificial neural network of bed porosity and solid holdup in viscous 3-phase inverse fluidization. al-Khwarizmi Engineering Journal. 2016. Vol. 12, no. 3, pp.26-37.
https://search.emarefa.net/detail/BIM-722746
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 36
Record ID
BIM-722746