Estimation of the minimum spouting velocity and pressure drop in open-sided draft tube spouted beds using genetic programming
Created by W.Langdon from
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- @Article{MORADKHANI:2021:PT,
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author = "M. A. Moradkhani and S. H. Hosseini and M. Olazar and
H. Altzibar and M. Valizadeh",
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title = "Estimation of the minimum spouting velocity and
pressure drop in open-sided draft tube spouted beds
using genetic programming",
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journal = "Powder Technology",
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volume = "387",
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pages = "363--372",
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year = "2021",
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ISSN = "0032-5910",
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DOI = "doi:10.1016/j.powtec.2021.04.049",
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URL = "https://www.sciencedirect.com/science/article/pii/S0032591021003302",
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keywords = "genetic algorithms, genetic programming, Conical
spouted bed, Open-sided draft tube, Minimum spouting
velocity, Pressure drop",
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abstract = "Explicit dimensionless models are proposed for
estimating the minimum spouting velocity, operating
pressure drop and peak pressure drop in open-sided
draft tubes spouted bed using the genetic programming
(GP). The models are developed based on 664
experimental data for minimum spouting velocity, 660
for peak pressure drop and 652 for operating pressure
drop. The parameters of significant influence are
considered as GP input variables, and reliable
semi-empirical correlations have been obtained. The
models predict the hydrodynamic parameters analyzed
with average absolute relative errors of 12.90percent,
15.99percent and 10.92percent for the minimum spouting
velocity, peak pressure drop and operating pressure
drop, respectively. A comparison of literature
correlations with the present ones shows that the
latter lead to considerably lower errors from the
experimental data. The prediction capability of the new
models was evaluated in a range of operating and
geometric conditions and a close agreement with the
experimental data was observed",
- }
Genetic Programming entries for
Mohammad Amin Moradkhani
Seyyed Hossein Hosseini
Martin Olazar Aurrekoetxea
H Altzibar
Mohammadreza Valizadeh
Citations