Numerical study and multi-objective optimization of medical waste crushing tools: A DEM-FEM coupling approach

被引：1

作者：

Huang, Feng ^{[1
]}

Zhang, Hao ^{[1
]}

Liu, Haoyu ^{[1
]}

Yin, Jiaxing ^{[1
]}

Li, Qipeng ^{[1
]}

Lin, Zhe ^{[2
]}

机构：

[1] Zhejiang Univ Sci & Technol, Sch Mech & Energy Engn, Hangzhou 310023, Peoples R China

[2] Zhejiang Sci Tech Univ, Key Lab Fluid Transmiss Technol Zhejiang Prov, Hangzhou 310018, Peoples R China

来源：

ADVANCED POWDER TECHNOLOGY | 2024年 / 35卷 / 06期

关键词：

Medical waste crushing tools; DEM -FEM coupling method; Elastic deformation; Impact wear; Multi-objective optimization; MODEL; PARAMETERS;

D O I：

10.1016/j.apt.2024.104491

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

The crushing tool is the pivotal component of the medical waste treatment equipment and is prone to wear and fracture. To improve its performance, the medical waste crushing process was numerically studied with the coupling method of DEM -FEM under various cutting angle designs of the crushing tool. The effects of different cutting angles on the elastic deformation and impact wear of the horizontal blade in the crushing tool were analyzed. To achieve the best deformation and wear, a multi-objective optimization method that combined AHP and EWM was proposed to determine the optimal cutting angle of the horizontal blade in the crushing tool based on the DEM -FEM results. A specific cutting angle of B80 degrees was finally revealed to be the optimal design. (c) 2024 The Society of Powder Technology Japan. Published by Elsevier BV and The Society of Powder Technology Japan. All rights are reserved, including those for text and data mining, AI training, and similar technologies.

引用

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