Pressure drop prediction in a pneumatic conveying system with different curvature radius pipes for conveying particles-Reference-Cited by-同舟云学术

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Pressure drop prediction in a pneumatic conveying system with different curvature radius pipes for conveying particles

Published:2023-11-21 Issue: Volume: Page:1-20
ISSN:0272-6351
Container-title:Particulate Science and Technology
language:en
Short-container-title:Particulate Science and Technology

Author:

Yan Fei¹,Cheng Shihao¹,Yang Zhenyu¹²,Zhang Jian¹,Zhu Rui³

Affiliation:

1. School of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang, China

2. School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai, China

3. School of Environmental and Chemical Engineering, Jiangsu University of Science and Technology, Zhenjiang, China

Funder

Natural Science Foundation of Jiangsu Province

Publisher

Informa UK Limited

Subject

General Chemical Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/02726351.2023.2283582

Reference26 articles.

1. Artificial neural network application for multiphase flow patterns detection: A new approach

2. CFD and artificial neural network modeling of two-phase flow pressure drop

3. Analysis of dense phase pneumatic conveying of fly ash using CFD including particle size distribution

4. Bayesian Regularized Artificial Neural Network Model to Predict Strength Characteristics of Fly-Ash and Bottom-Ash Based Geopolymer Concrete

5. CFD modeling and analysis of dense phase pneumatic conveying of fine particles including particle size distribution

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