LAPSE:2023.28177
Published Article
LAPSE:2023.28177
Effect of the Mixer Design Parameters on the Performance of a Twin Paddle Blender: A DEM Study
Behrooz Jadidi, Mohammadreza Ebrahimi, Farhad Ein-Mozaffari, Ali Lohi
April 11, 2023
The design parameters of a mixing system have a major impact on the quality of the final product. Therefore, identifying the optimum parameters of mixing systems is highly relevant to various industrial processes dealing with particulate flows. However, the studies on the influences of the mixer’s design features are still insufficient. In this study, the Discrete Element Method (DEM) is used to examine the impact of paddle angle, width, and gap on the mixing performance of a twin paddle blender. The mixing performance and particle flow are assessed using the relative standard deviation (RSD) mixing index, velocity field, diffusivity coefficient, granular temperature, the force acting on particles, and the mixer’s power consumption. The mixing performance is highest for a paddle angle of 0° at the cost of the highest forces acting on particles. The paddle width is indicated as a critical factor for achieving better mixing quality. In contrast, the powder mixing efficiency and the mixer’s power consumption are not significantly affected by the paddle gap. The results regarding the power consumption denote that the mixer using the paddle angle of 60° has the minimum power consumption. Moreover, increasing the paddle width results in the enhancement of the mixer’s power consumption.
Keywords
batch mixing, Discrete Element Method (DEM), impeller design, particle mixing, twin paddle blender
Suggested Citation
Jadidi B, Ebrahimi M, Ein-Mozaffari F, Lohi A. Effect of the Mixer Design Parameters on the Performance of a Twin Paddle Blender: A DEM Study. (2023). LAPSE:2023.28177
Author Affiliations
Jadidi B: Department of Chemical Engineering, Toronto Metropolitan University, 350 Victoria Street, Toronto, ON M5B 2K3, Canada
Ebrahimi M: Department of Chemical Engineering, Toronto Metropolitan University, 350 Victoria Street, Toronto, ON M5B 2K3, Canada
Ein-Mozaffari F: Department of Chemical Engineering, Toronto Metropolitan University, 350 Victoria Street, Toronto, ON M5B 2K3, Canada [ORCID]
Lohi A: Department of Chemical Engineering, Toronto Metropolitan University, 350 Victoria Street, Toronto, ON M5B 2K3, Canada
Journal Name
Processes
Volume
11
Issue
3
First Page
733
Year
2023
Publication Date
2023-03-01
Published Version
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr11030733, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.28177
This Record
External Link

doi:10.3390/pr11030733
Publisher Version
Download
Files
[Download 1v1.pdf] (11.1 MB)
Apr 11, 2023
Main Article
License
CC BY 4.0
Meta
Record Statistics
Record Views
61
Version History
[v1] (Original Submission)
Apr 11, 2023
 
Verified by curator on
Apr 11, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.28177
 
Original Submitter
Auto Uploader for LAPSE
Links to Related Works
Directly Related to This Work
Publisher Version