Measuring Spherical and Nonspherical Binary Particles: Mixing and Segregation in a Rotating Drum Using Machine Learning-Assisted Image Processing-Reference-Cited by-同舟云学术

Measuring Spherical and Nonspherical Binary Particles: Mixing and Segregation in a Rotating Drum Using Machine Learning-Assisted Image Processing

Published:2024-04-22 Issue:17 Volume:63 Page:7891-7901
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Dai Jianjian¹²,Xu Haotian¹²,Gao Yongxiang³,Yu Jia¹²^ORCID,Gao Xi¹²⁴^ORCID

Affiliation:

1. Department of Chemical Engineering, Guangdong Technion-Israel Institute of Technology, Shantou 515063, China

2. Wolfson Department of Chemical Engineering, Technion-Israel Institute of Technology, Haifa 3200003, Israel

3. State Key Laboratory of Coal Conversion, Institute of Coal Chemistry, Chinese Academy of Science, Taiyuan, Shanxi 030001, China

4. Guangdong Provincial Key Laboratory of Materials and Technologies for Energy Conversion, Guangdong Technion-Israel Institute of Technology, Shantou 515063, China

Funder

Guangdong Provincial Department of Science and Technology

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

Guangdong Technion-Israel Institute of Technology

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.4c00360

Reference48 articles.

1. Axial transport in dry ball mills

2. Surface particle motions in rotating cylinders: Validation and similarity for an industrial scale kiln

3. Tablet coating in lab-scale drum coaters: Combining DEM simulations and spray experiments to predict tablet coating

4. Measuring powder flow properties in a rotating drum

5. Complexity, segregation, and pattern formation in rotating-drum flows