Fixed Particle Size Ratio Pure Copper Metal Powder Molding Fine Simulation Analysis

In this paper, a discrete element method (DEM) coupled with a finite element method (FEM) was used to elucidate the impact of packing structures and size ratios on the cold die compaction behavior of pure copper powders. HCP structure, SC structure, and three random packing structures with different particle size ratios (1:2, 1:3, and 1:4) were generated by the DEM, and then simulated by the FEM to analyze the average relative density, von Mises stress, and force chain structures of the compact. The results show that for HCP and SC structures with a regular stacking structure, the average relative densities of the compact were higher than those of random packing structures, which were 0.9823, 0.9693, 0.9456, 0.9502, and 0.9507, respectively. Compared with their initial packing density, it could be improved by up to 21.13%. For the bigger particle in HCP and SC structures, the stress concentration was located between the adjacent layers, while in the small particles, it was located between contacted particles. During the initial compaction phase, smaller particles tend to occupy the voids between larger particles. As the pressure increases, larger particles deform plastically in a notable way to create a stabilizing force chain. This action reduces the axial stress gradient and improves radial symmetry. The transition from a contact-dominated to a body-stress-dominated state is further demonstrated by stress distribution maps and contact force vector analysis, highlighting the interaction between particle rearrangement and plasticity.

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Publication Details

Journal
Crystals
Published
2025-07-05
DOI
https://doi.org/10.3390/cryst15070628
Citations
3
Primary Topic
Powder Metallurgy Techniques and Materials
Type
article
Field-Weighted Citation Impact
2.14

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article

Fixed Particle Size Ratio Pure Copper Metal Powder Molding Fine Simulation Analysis

Wenzhe Wang, Hui Qi, Chang Ming Li, Yuanbo Zhao et al.
3 citations
Crystals
Powder Metallurgy Techniques and Materials
2.14
article

Fixed Particle Size Ratio Pure Copper Metal Powder Molding Fine Simulation Analysis

Wenzhe Wang, Hui Qi, Chang Ming Li, Yuanbo Zhao, Mengyao Weng, Wenchao Wang
article en
3 citations

Abstract

In this paper, a discrete element method (DEM) coupled with a finite element method (FEM) was used to elucidate the impact of packing structures and size ratios on the cold die compaction behavior of pure copper powders. HCP structure, SC structure, and three random packing structures with different particle size ratios (1:2, 1:3, and 1:4) were generated by the DEM, and then simulated by the FEM to analyze the average relative density, von Mises stress, and force chain structures of the compact. The results show that for HCP and SC structures with a regular stacking structure, the average relative densities of the compact were higher than those of random packing structures, which were 0.9823, 0.9693, 0.9456, 0.9502, and 0.9507, respectively. Compared with their initial packing density, it could be improved by up to 21.13%. For the bigger particle in HCP and SC structures, the stress concentration was located between the adjacent layers, while in the small particles, it was located between contacted particles. During the initial compaction phase, smaller particles tend to occupy the voids between larger particles. As the pressure increases, larger particles deform plastically in a notable way to create a stabilizing force chain. This action reduces the axial stress gradient and improves radial symmetry. The transition from a contact-dominated to a body-stress-dominated state is further demonstrated by stress distribution maps and contact force vector analysis, highlighting the interaction between particle rearrangement and plasticity.

CrystalsVol. 15(7)
Harbin Engineering University (CN), Northeast Petroleum University (CN)
Northeast Petroleum University
Openalex Percentile: Top 13%
Powder Metallurgy Techniques and Materials
2.14
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Fixed Particle Size Ratio Pure Copper Metal Powder Molding Fine Simulation Analysis — Wenzhe Wang, Hui Qi, et al. · Crystals (2025) | TGRS Research Map | TGRS