Acta Metallurgica Sinica (English Letters) ›› 2024, Vol. 37 ›› Issue (5): 808-824.DOI: 10.1007/s40195-024-01672-6
Special Issue: 2024年增材制造专辑
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Hulin Tang1, Xiang Zhang1, Chenping Zhang2, Tian Zhou2, Shiyue Guo3, Gaopeng Xu1, Rusheng Zhao4, Boyoung Hur5, Xuezheng Yue1(
)
Received:2023-10-19
Revised:2023-12-03
Accepted:2023-12-07
Online:2024-05-10
Published:2024-06-14
Contact:
Xuezheng Yue, usst-yzyz@usst.edu.cn
Hulin Tang, Xiang Zhang, Chenping Zhang, Tian Zhou, Shiyue Guo, Gaopeng Xu, Rusheng Zhao, Boyoung Hur, Xuezheng Yue. Designing High-Porosity Porous Structures with Complex Geometries for Enhanced Thermal Conductivity Using Selective Laser Melting and Heat Treatment[J]. Acta Metallurgica Sinica (English Letters), 2024, 37(5): 808-824.
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Fig. 1 Logical process of structural design: a-1 pomelo; a-2 microstructure of pomelo peel [26] (the link to the Creative Commons license: http://creativecommons.org/licenses/by/4.0/), b lattice structure of D_L, K_L and their single-cell structures, c gradient arrangement type, lattice structure of D_K_L and single-cell structure
| Structures | Porosity (%) | Volume of the structure (mm3) | Surface area (mm2) |
|---|---|---|---|
| D_L | 80.23 | 5337.7 | 16,540.33 |
| 84.96 | 4058.93 | 15,012.95 | |
| 90.42 | 2585.33 | 12,432.48 | |
| K_L | 79.91 | 5423.15 | 16,366.48 |
| 84.65 | 4144.94 | 14,879.46 | |
| 89.89 | 2730.07 | 12,649.65 | |
| D_K_L | 79.71 | 5478.67 | 16,746.01 |
| 84.52 | 4179.04 | 15,212.55 | |
| 89.94 | 2715.60 | 12,901.49 |
Table 1 Specific geometric parameters of the lattice porous structure
| Structures | Porosity (%) | Volume of the structure (mm3) | Surface area (mm2) |
|---|---|---|---|
| D_L | 80.23 | 5337.7 | 16,540.33 |
| 84.96 | 4058.93 | 15,012.95 | |
| 90.42 | 2585.33 | 12,432.48 | |
| K_L | 79.91 | 5423.15 | 16,366.48 |
| 84.65 | 4144.94 | 14,879.46 | |
| 89.89 | 2730.07 | 12,649.65 | |
| D_K_L | 79.71 | 5478.67 | 16,746.01 |
| 84.52 | 4179.04 | 15,212.55 | |
| 89.94 | 2715.60 | 12,901.49 |
| Al | Si | Mg | Fe | Cu | Mn | Ti | O |
|---|---|---|---|---|---|---|---|
| Bal. | 10.20 | 0.29 | 0.039 | < 0.01 | < 0.01 | < 0.01 | 0.049 |
Table 2 Chemical composition of the AlSi10Mg powder (wt%)
| Al | Si | Mg | Fe | Cu | Mn | Ti | O |
|---|---|---|---|---|---|---|---|
| Bal. | 10.20 | 0.29 | 0.039 | < 0.01 | < 0.01 | < 0.01 | 0.049 |
| Laser power (W) | Scan speed (mm/s) | Scan spacing (mm) | Layer thickness (μm) | Scanning angle (°) |
|---|---|---|---|---|
| 350 | 1300 | 0.13 | 30 | 67 |
Table 3 Process parameters used to manufacture AlSi10Mg samples on the EOSINT M280 machine
| Laser power (W) | Scan speed (mm/s) | Scan spacing (mm) | Layer thickness (μm) | Scanning angle (°) |
|---|---|---|---|---|
| 350 | 1300 | 0.13 | 30 | 67 |
Fig. 5 a Schematic of the apparatus used to measure the thermal conductivity of SLM AlSi10Mg lattice structures, b close view of the test stack with the position of the temperature measurements
Fig. 6 a Comparison of theoretical porosity and actual porosity of samples, b unmelted powder on sample connecting rod by SEM, c irregular holes in additively manufactured samples, d samples of three structures with different porosities fabricated by SLM method
Fig. 7 a-c SEM images showing the micrographs of polished as-built samples after etching; d-f micrographs of SLM AlSi10Mg samples after heat treatment. Si-rich areas are projecting parts, and Al-rich areas are base bodies
Fig. 8 XRD pattern: a as-built and heat-treated, b it is a localized plot of 2θ equal to between 60° and 90°, EDX mapping for samples: c as-built, d heat-treated
| Samples | t50 (ms) | α | K(T) (W·m−1·K−1) |
|---|---|---|---|
| As-built | 7.519 | 47.260 | 116.649 |
| Heat-treated | 5.197 | 68.368 | 169.786 |
Table 4 Data of volumetric thermal conductivity
| Samples | t50 (ms) | α | K(T) (W·m−1·K−1) |
|---|---|---|---|
| As-built | 7.519 | 47.260 | 116.649 |
| Heat-treated | 5.197 | 68.368 | 169.786 |
Fig. 9 a-c Steady-state thermal simulation for three structures with 85% porosity, D_L, K_L and D_K_L, respectively, d the steady-state temperature distribution at different faces of the three structures, e simulated thermal conductivity of the as-built samples, f simulated thermal conductivity of the heat-treated samples
Fig. 10 a Temperature data of six test points on D_K_L samples with 90% porosity, b measured thermal conductivity of the as-built samples, c measured thermal conductivity of the heat-treated samples, d deviation value (W) of measured thermal conductivity from simulated thermal conductivity values for as-built and heat-treated samples (D_L D_K_L and K_L represent the three structures of as-built, and (D_L)' (D_K_L)' and (K_L)' represent the three structures of heat-treated)
Fig. 12 a Heat flow density distribution of single cells: K_L structure, D_K_L structure and D_L structure, b analysis of the degree of tilt of single-cell structural rods, c thermal resistance model of porous materials: (1) vertical direction, (2) horizontal direction
Fig. 14 Comparison the thermal conductivity improvement rate of heat-treated AlSi10Mg in the present study with the rate of increase in previously reported studies
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