Work

Machine learning assisted measurement of solid mass flow rate in horizontal pneumatic conveying by acoustic emission detection

Year: 2020

Type: article

Source: Chemical Engineering Science

DOI: 10.1016/j.ces.2020.116083

Authors: Peng Zhang, Yao Yang, Zhengliang Huang, Jingyuan Sun, Zuwei Liao, Jingdai Wang, Yongrong Yang

Institutions: Zhejiang University, State Key Laboratory of Chemical 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, Science Fund for Creative Research Groups, Foundation for Innovative Research Groups of the National Natural Science Foundation of China, National Science Fund for Distinguished Young Scholars

Awards: G3650767051, G7303189691, G7567566783, G7968425466

OpenAlex ID: W3082459645

FWCI: 3.224

Cites: 29

Cited by: 35

Related to: 10