Optimization of Cylinder Head Self-Feeding Low Pressure Casting Process Based on 3D Printing Technology

In the production of a specific aluminum alloy cylinder head using traditional low-pressure casting, persistent issues such as gas porosity and shrinkage defects near the injector holes led to leakage failures. This study proposes an optimized self-feeding low-pressure casting process combined with 3D-printed sand cores to eliminate defects and improve yield.

1. Analysis of Casting Defects

The cylinder head structure features irregular geometries, varying wall thicknesses, and enclosed cavities, which hinder directional solidification. Defect analysis revealed two primary issues:

Defect Type Location Causes
Shrinkage Porosity Injector hole regions Slow cooling at thick sections (thermal modulus > 12 mm)
Gas Porosity Upper plane surfaces Trapped gas from sand cores (resin gas evolution > 15 mL/g)

The thermal gradient during solidification was calculated using Fourier’s law:

$$ \nabla T = \frac{q}{k} $$

Where \( q \) represents heat flux (W/m²) and \( k \) is thermal conductivity (W/m·K). Insufficient thermal gradients (< 5 K/mm) at critical sections exacerbated casting defects.

2. Process Optimization Strategy

2.1 Gating System Redesign

The modified gating system employs a pressure-controlled filling sequence:

Parameter Original Optimized
Ingate Area Ratio 1:1.2:1.8 1:1:1.5
Pouring Temperature 680°C 710°C
Filling Pressure Gradient 0.0012 MPa/s 0.0008 MPa/s

The modified pressure curve follows:

$$ P(t) = \begin{cases}
0.015t & \text{for } 0 \leq t < 120s \\
0.018(1 – e^{-0.02t}) & \text{for } t \geq 120s
\end{cases} $$

2.2 3D-Printed Sand Core Implementation

Additive manufacturing enabled complex core geometries with integrated venting channels. Comparative gas evolution analysis:

Core Type Gas Evolution (mL/g)
Traditional Resin Sand 14.2 ± 1.5
3D-Printed Sand 6.8 ± 0.7

2.3 Cooling System Enhancement

Copper chill optimization achieved 40% faster cooling at critical sections:

$$ t_{\text{solidification}} = \frac{\rho L V}{h A (T_{\text{pour}} – T_{\text{mold}})} $$

Where \( \rho \) = density, \( L \) = latent heat, \( V \) = volume, \( h \) = heat transfer coefficient.

3. Results and Validation

X-ray CT scanning confirmed defect elimination in optimized castings:

Quality Parameter Original Optimized
Porosity Density (pores/cm³) 12.7 0.9
UTS (MPa) 245 278
Yield Rate 68% 93%

The self-feeding mechanism effectively managed solidification shrinkage through controlled pressure decay:

$$ \frac{dP}{dt} = -\alpha(T)\frac{P}{V_{\text{molten}}} $$

4. Conclusion

The integration of 3D-printed sand cores with modified low-pressure casting parameters successfully addressed casting defect challenges. Key achievements include:

  • 83% reduction in gas porosity through additive-manufactured cores
  • 25% improvement in mechanical properties via optimized cooling
  • 37% increase in production yield through self-feeding mechanism

This methodology provides a viable technical pathway for complex aluminum castings requiring high integrity and dimensional accuracy.

Scroll to Top