Prediction of the Minimum Spouting Velocity by Genetic Programming Approach-Reference-Cited by-同舟云学术

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Prediction of the Minimum Spouting Velocity by Genetic Programming Approach

Published:2014-07-29 Issue:32 Volume:53 Page:12639-12643
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Hosseini Seyyed Hossein¹,Karami Mojtaba²³,Olazar Martin⁴,Safabakhsh Reza³,Rahmati Mohammad³

Affiliation:

1. Department of Chemical Engineering, Ilam University, Ilam 69315−516, Iran

2. Department of Computer and Information Technology, Ilam University, Ilam 69315−516, Iran

3. Department of Computer Engineering, Amirkabir University of Technology, Tehran 15914, Iran

4. Department of Chemical Engineering, University of the Basque Country, Bilbao, Spain

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ie5013757

Reference34 articles.

1. Pressure and flow characteristics of a gas phase spout-fluid bed and the minimum spout-fluid condition

2. A Discussion on Minimum Spout Velocity and Jet Penetration Length

3. A technique for contacting gases with coarse solid particles

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1. Applying conventional and intelligent approaches to model the minimum spouting velocity of vegetable biomasses in conical spouted beds;Powder Technology;2023-03

2. New Smart Models for Minimum Fluidization Velocity Forecasting in the Tapered Fluidized Beds Based on Particle Size Distribution;Industrial & Engineering Chemistry Research;2021-10-15

3. Estimation of the minimum spouting velocity and pressure drop in open-sided draft tube spouted beds using genetic programming;Powder Technology;2021-07

4. Modeling of the Minimum Fluidization Velocity and the Incipient Fluidization Pressure Drop in a Conical Fluidized Bed with Negative Pressure;Applied Sciences;2020-12-08

5. General equation for flow condensation heat transfer coefficient in different orientations of helical coils of smooth tubes using genetic programming;International Communications in Heat and Mass Transfer;2020-12

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