Prediction of the point efficiency of sieve tray using artificial neural network
Joint Authors
al-Himiri, Adil A. A.
Hasan, Firas N.
Source
Iraqi Journal of Chemical and Petroleum Engineering
Issue
Vol. 10, Issue 0 (31 Dec. 2009), pp.57-62, 6 p.
Publisher
University of Baghdad College of Engineering
Publication Date
2009-12-31
Country of Publication
Iraq
No. of Pages
6
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
An application of neural network technique was introduced in modeling the point efficiency of sieve tray, based on a data bank of around 331 data points collected from the open literature.
Two models proposed, using back-propagation algorithm, the first model network consists : volumetric liquid flow rate (QL), F factor for gas (FS), liquid density (pL), gas density (pg), liquid viscosity (fiL), gas viscosity (fig), hole diameter (dH), weir height (hw), pressure (P) and surface tension between liquid phase and gas phase (a).
In the second network, there are six parameters as dimensionless group: Flow factor (F), Reynolds number for liquid (ReL), Reynolds number for gas through hole (Reg), ratio of weir height to hole diameter (hw / dH), ratio of pressure of process to atmosphere pressure (P / Pa), Weber number (We).
Statistical analysis showed that the proposed models have an average absolute relative error (AARE) of 9.3 % and standard deviation (SD) of 9.7 % for first model, AARE of 9.35% and SD of 10.5 % for second model and AARE of 9.8 % and SD of 7.5 % for the third model.
American Psychological Association (APA)
al-Himiri, Adil A. A.& Hasan, Firas N.. 2009. Prediction of the point efficiency of sieve tray using artificial neural network. Iraqi Journal of Chemical and Petroleum Engineering،Vol. 10, no. 0, pp.57-62.
https://search.emarefa.net/detail/BIM-260681
Modern Language Association (MLA)
al-Himiri, Adil A. A.& Hasan, Firas N.. Prediction of the point efficiency of sieve tray using artificial neural network. Iraqi Journal of Chemical and Petroleum Engineering Vol. 10 (Dec. 2009), pp.57-62.
https://search.emarefa.net/detail/BIM-260681
American Medical Association (AMA)
al-Himiri, Adil A. A.& Hasan, Firas N.. Prediction of the point efficiency of sieve tray using artificial neural network. Iraqi Journal of Chemical and Petroleum Engineering. 2009. Vol. 10, no. 0, pp.57-62.
https://search.emarefa.net/detail/BIM-260681
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 61
Record ID
BIM-260681