Comparative Study on Microstructure and Mechanical Properties of AlSi10Mg Alloy Fabricated by Laser Additive Manufacturing and Sand Casting

This study systematically investigates the anisotropic mechanical behavior and microstructural evolution of AlSi10Mg alloy processed through selective laser melting (SLM) additive manufacturing and 3D-printed sand casting (3DP). The research highlights critical differences in manufacturing-induced characteristics and their implications for industrial applications.

1. Material Characteristics and Processing Parameters

The chemical composition of gas-atomized AlSi10Mg powder for SLM processing is detailed in Table 1. The powder exhibits excellent flowability (Hall flow rate: 97 s/50 g) and optimal packing density (tap density: 1.61 g/cm³), crucial for layer-wise deposition.

Table 1: Chemical Composition of AlSi10Mg Powder
Element Si Mg Fe Cu Mn Ni Ti Al
wt.% 10.20 0.31 0.06 <0.01 <0.01 <0.01 <0.01 Bal.

For sand casting, resin-coated silica sand (100-140 mesh) with compressive strength of 6.1 MPa and gas evolution of 13 mL/g at 850°C was utilized. The thermal treatment schedules are mathematically expressed as:

SLM Stress Relief:
$$T(t) = 300^{\circ}C \cdot \left(1 – e^{-t/7200}\right) \quad \text{for } t \leq 7200 \text{ s}$$

Sand Casting T6 Treatment:
$$T_{\text{solid solution}} = 535^{\circ}C \cdot \left(1 – e^{-t/14400}\right)$$
$$T_{\text{aging}} = 155^{\circ}C \cdot \left(1 – e^{-t/28800}\right)$$

2. Microstructural Analysis

SLM-processed specimens exhibited distinct anisotropic features:

  • 0° build direction: Parallel melt pool boundaries with fine cellular α-Al(Si) structure (cell size: 0.5-1 μm)
  • 45° orientation: Fish-scale melt pool morphology with Si-rich eutectic networks
  • 90° vertical build: Columnar grain growth (aspect ratio >5:1) along thermal gradient

Sand casting produced coarse dendritic structures (secondary dendrite arm spacing: 25-40 μm) with needle-shaped eutectic Si particles (>10 μm length). The microstructure evolution follows:

$$\lambda_{SDAS} = 100 \cdot \dot{T}^{-1/3}$$

where λSDAS is secondary dendrite arm spacing (μm) and $\dot{T}$ is cooling rate (°C/s).

3. Mechanical Performance Comparison

Table 2: Mechanical Properties of As-Processed Alloys
Process Condition YS (MPa) UTS (MPa) Elongation (%) Hardness (HB)
SLM As-built 254-295 360-385 3.2-5.1 125±3
300°C/2h 230-240 340-350 8.2-10.5 115±2
Sand Casting As-cast 140±15 195±20 3.2±0.5 75±5
T6 210±20 240±25 1.5±0.3 95±4

The anisotropic strength variation in SLM specimens follows:

$$\Delta \sigma_{0^{\circ}-90^{\circ}} = 20 \cdot \cos \theta \quad \text{(MPa per 45^{\circ} orientation change)}$$

Eliminated through stress-relief annealing due to dislocation network rearrangement:

$$\rho_d = \rho_0 \cdot e^{-Q/RT}$$

where ρd = dislocation density, Q = activation energy (85 kJ/mol for AlSi10Mg), R = gas constant.

4. Fractographic Analysis

SLM fracture surfaces exhibited:

  • Dimple size: 2-5 μm
  • Unmelted particle fraction: <0.3%
  • Gas porosity: 0.05-0.2%

Sand casting failures showed:

  • Cleavage facets >50 μm
  • Shrinkage porosity: 1.2-3.5%
  • Oxide film density: 15-20/mm²

5. Process Optimization Strategies

For sand casting applications requiring high complexity:

$$t_{\text{cycle}} = 1.5 \cdot V^{0.33} \quad \text{(hours)}$$

where V is mold volume (dm³). SLM process windows satisfy:

$$P = 400 \cdot v^{0.5} \cdot h^{0.8}$$

P = laser power (W), v = scan speed (mm/s), h = layer thickness (μm).

6. Industrial Implementation Considerations

When comparing sand casting and additive manufacturing:

Table 3: Production Cost Comparison
Parameter Sand Casting SLM
Tooling cost $5k-20k $0
Part cost (1-100 units) $150-500/kg $300-800/kg
Lead time 4-8 weeks 2-5 days
Max dimension Unlimited 400×400 mm

The study demonstrates that while sand casting remains cost-effective for large-scale production, SLM provides superior mechanical performance and design freedom for complex, high-value components. Process selection should consider:

$$C_{\text{total}} = C_{\text{material}} + C_{\text{energy}} + C_{\text{post}} \cdot N^{-1}$$

where N = production quantity, Cpost = post-processing costs.

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