Work

Machine learning and numerical simulation research on specific energy consumption for gradated coarse particle two-phase flow in inclined pipes

Year: 2024

Type: article

Source: Physics of Fluids

DOI: 10.1063/5.0221031

Authors: Chuyi Wan, Shengpeng Xiao, Dai Zhou, Hongbo Zhu, Yan Bao, Shuai Huang, Caiyun Huan, Zhaolong Han

Institutions: Shanghai Jiao Tong University, Dalian University of Technology, State Key Laboratory of Coastal and Offshore Engineering, National Institute of Natural Hazards, Ministry of Emergency Management of the People's Republic of China, Powerchina Huadong Engineering Corporation (China), State Key Laboratory of Ocean Engineering

Language: English

Topic: Granular flow and fluidized beds

Subfield: Computational Mechanics

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: National Natural Science Foundation of China, National Youth Foundation of China

Awards: G1566952853, G5727455551, G5757525188, G8360738586

OpenAlex ID: W4402413046

FWCI: 1.227

Cites: 54

Cited by: 6

Related to: 10