Issue |
ITM Web Conf.
Volume 47, 2022
2022 2nd International Conference on Computer, Communication, Control, Automation and Robotics (CCCAR2022)
|
|
---|---|---|
Article Number | 02048 | |
Number of page(s) | 12 | |
Section | Algorithm Optimization and Application | |
DOI | https://doi.org/10.1051/itmconf/20224702048 | |
Published online | 23 June 2022 |
Structure optimization of mixer ploughshare through orthogonal experiment based on DEM simulation
1 School of Mechanical Engineering, Tongji University, China
2 School of Automotive Studies, Tongji University, China
* Corresponding author: liyanliyan910@126.com
In order to improve the mixing uniformity of plastic particles mixed by ploughshare mixer, the author extracted three structural parameters of the mixing structure and established nine models of orthogonal experiment. Use Discrete element method to simulate the mixing process of polypropylene and polyethylene particles, and take the coefficient of variation as the evaluation index of mixing uniformity. The experimental results showed that the optimal parameter combination is that the intersection angle of side blades is 40°, the circumferential distribution angle is 180°, and the axial distribution spacing is 164mm, when strength and abrasion resistance were verified as acceptable. The research method can provide certain reference for powder &particle material mixing analysis and equipment improvement.
Key words: Ploughshare mixer / Orthogonal experiment / EDEM
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.