Process Design and Optimization of Engine Cylinder Block Castings

This paper presents a comprehensive analysis of the casting process design for engine cylinder blocks, focusing on defect mitigation and quality enhancement. The study leverages flow simulation software to identify root causes of common defects such as porosity, misruns, shrinkage cavities, and dimensional inaccuracies. Through systematic process optimization, we achieved significant improvements in casting yield and mechanical properties.

1. Casting Process Design

The engine cylinder block casting (HT250 material) features complex geometry with varying wall thickness (8-45mm). The vertical pouring process with bottom gating system was developed to ensure proper filling and solidification control. Key parameters include:

Parameter Value
Pouring temperature 1390-1420°C
Mold filling time 12-15s
Gating ratio (Sprue:Runner:Ingate) 1:2.3:8.7
Riser modulus $$ M = \frac{V}{A} $$

Where $M$ represents riser modulus, $V$ is volume, and $A$ is cooling surface area. The original riser design (30×50×100mm) proved insufficient, leading to shrinkage defects in heavy sections.

2. Solidification Analysis

Numerical simulation revealed critical solidification patterns in the engine cylinder block:

$$ \frac{\partial T}{\partial t} = \alpha \left( \frac{\partial^2 T}{\partial x^2} + \frac{\partial^2 T}{\partial y^2} + \frac{\partial^2 T}{\partial z^2} \right) $$

Where $T$ is temperature, $t$ is time, and $\alpha$ is thermal diffusivity. The modified riser design (50×70×100mm) improved feeding efficiency by 38%, as demonstrated in the comparative analysis:

Riser Size Solidification Time (min) Shrinkage Volume (cm³)
30×50×100mm 8.2 12.5
50×70×100mm 11.7 2.1

3. Core Assembly Strategy

The engine cylinder block mold consists of 14 sand cores combining cold box and resin-coated sand technologies. Core assembly accuracy directly affects dimensional precision:

$$ \delta = \sum_{i=1}^{n} \left( \frac{\Delta x_i}{L_i} \right)^2 $$

Where $\delta$ represents cumulative dimensional error, $\Delta x_i$ is individual core deviation, and $L_i$ is characteristic length. Post-assembly dipping process reduced surface roughness from Ra 12.5μm to Ra 6.3μm.

4. Metallurgical Control

The charge composition for engine cylinder block production follows strict chemical requirements:

Element Composition Range (wt%)
C 3.2-3.35
Si 1.8-2.1
Mn 0.7-0.9
S ≤0.1
P ≤0.07

Superheating practice (1500-1520°C for 5 minutes) combined with late inoculation (0.3% FeSi) achieved consistent pearlite matrix with type A graphite distribution.

5. Process Optimization Results

Implementation of improved engine cylinder block casting process demonstrated remarkable quality improvements:

Parameter Original Process Optimized Process
Scrap Rate 8% 1.2%
Surface Finish CT10 CT7
Tensile Strength 235-245 MPa 255-265 MPa
Production Cycle 42 hours 36 hours

The optimized engine cylinder block casting process successfully addresses key manufacturing challenges while meeting stringent automotive industry requirements. Future development will focus on implementing real-time solidification monitoring and AI-based process control systems for further quality enhancement.

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